Journal of Electrical Technology is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include power systems, telecommunications, informatics, and electronics. Authors are expected to include original scientific papers in accordance with the scope of the discussion of this journal including all aspects of the theory and practice are used. DOI: 10.24843/MITE
Program Studi Magister Teknik Elektro Universitas Udayana
This work is licensed under a Creative Commons Attribution 4.0 International License
Rancang Bangun Prototype Monitoring Instalasi Pengolahan Air Limbah (IPAL) Di Suwung Berbasis Internet of Things
Wastewater management is a critical component of environmental sustainability, particularly in regions undergoing rapid industrial development such as Bali. The Wastewater Treatment Plant (IPAL) in Suwung plays an essential role in ensuring that effluents meet environmental quality standards mandated by regional and national regulations. However, current monitoring practices at the facility are conducted manually, resulting in potential delays in pollution detection and timely decision-making. This study proposes the design and implementation of an Internet of Things (IoT)-based prototype for real time wastewater quality monitoring. The system integrates multiple sensors-including pH, temperature, turbidity, and water level sensors-controlled by an arduino UNO microcontroller and ESP 32 module. Measurement data are transmitted to Blynk and ThingSpeak platforms in real time, stored in a data logger for further analysis, and made accessible via a web-based monitoring interface. The results demonstrate that the system is capable of delivering accurate and real time data, which can support more efficient monitoring and facilitate timely environmental management decisions. This prototype offers a reliable and scalable solution for digitizing wastewater monitoring processes in treatment facilities
##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc-nd/4.0
Review on Impact of Artificial Intelligent on Efficiency and Productivity in Industrial Automation
As Industry 4.0 technologies evolve, the application of Artificial Intelligence (AI) in the manufacturing sector has become a major factor in improving operational efficiency, optimizing production processes, and reducing costs, enabling predictive analytics, data-driven maintenance, and automation of tasks that previously required human intervention. This study conducts a systematic literature review (SLR) on various AI methods applied in industrial automation, evaluates the effectiveness of their implementation, and identifies key challenges in their adoption. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Population, Intervention, Comparison, Outcome, Context (PICOC) approaches are adopted. The sources used to search the literature included four electronic databases, comprising ScienceDirect, Taylor & Francis, Scopus, and Emerald Insight, resulting in 33 selected articles. The result shows that AI contributes significantly to improving production efficiency, but it still faces challenges in system integration, implementation costs, and workforce readiness. This study provides a comprehensive overview of the effectiveness of AI implementation in industrial automation and the challenges that need to be overcome to optimize competitiveness and production efficiency.
Rancang Bangun Prototype Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) Dengan Studi Kasus Saluran Irigasi Di Desa Medewi Kecamatan Pekutatan Kabupaten Jembrana
Micro Hydro Power (MHP) is a small power plant that uses water to generate electricity. It can be found in irrigation canals, rivers, or waterfalls. The amount of water and head height are important factors in determining the power output. The irrigation canal in Medewi Village is being used as a research location for MHP. Researchers will use the data to perform calculations and design a prototype. They will also conduct an economic analysis of the MHP to determine its feasibility. The discharge at the research location is 0.23 m3/s, and the waterfall is 2.24 m high. Through the calculation results, the researchers determined that the turbine is a crossflow turbine. The turbine power is 3.9 kW, the generator power is 4.375 kVA, and the turbine power in the homer software is 4.195 kW. The cost of building the MHP in the irrigation canals in Medewi Village is IDR15.774.952. With a 6% discount rate, the BCR is 4,81, the NPV value is IDR75.952.768, the IRR is 107%, and the BEP result per unit The payback period is six months and five weeks. Selling 101925,571 kWh results in an LCC of IDR37.719.896. Using MHP throughout its economic life results in a cost that is less than the price paid to PLN.
Teknik Machine Learning dengan Metode SVM untuk Deteksi Anomali pada Kendala Jaringan FTTH
FTTH is a technology that is important in providing high-speed internet services to customers. However, interruptions or anomalies in the FTTH network may cause service interruptions that impact user experience. Anomaly data from FTTH telecommunications networks are collected and processed using preprocessing techniques to prepare data before being used in SVM model training. The training process is carried out by using training data to classify data as normal or anomaly. After the training, an evaluation of the performance of the SVM model was carried out using test data that had never been seen before. The results of the analysis show the ability of the SVM model to detect anomalies in FTTH telecommunication networks with high accuracy and good performance. The conclusion of this study is that machine learning techniques with the SVM method have great potential in anomaly detection in FTTH telecommunication networks.
Peningkatan Kualitas Sinyal Photoplethysmography (PPG) melalui Pendekatan Pra-pemrosesan Multitahap
Photoplethysmography (PPG) is a non-invasive technique for measuring various physiological parameters, including blood glucose levels. However, PPG signals are often affected by noise and artefacts that reduce the accuracy of analysis and prediction. Therefore, an effective noise filtering method is needed to make the signal quality and ready for feature extraction for blood glucose estimation. This study offers a solution to the problem of noise in PPG signals through the application of appropriate pre-processing methods. This study aims to select quality PPG signals through three pre-processing methods: detrend, smoothing, and 0.5-5 Hz bandpass filter. The effectiveness of the three methods was evaluated through ADF test to measure the stationarity of the signal, frequency spectrum analysis to observe the distribution of frequency components, and SNR test to assess the signal to noise ratio. Based on the analysis of 67 data samples, the p-value <0.05 was obtained, indicating that the signal has reached a stationary condition. In addition, the average test statistic of men is higher than that of women, indicating that men's signals are more stationary after detrend. Meanwhile, 36 samples (54%) had SNR ? 20 dB indicating that more than half of the data were of good enough quality for further analysis. The results show that multi-stage pre-processing improves the quality of PPG signals, validated through quantitative tests of stationarity and SNR values. Thus, the preprocessed and improved quality PPG signals are considered feasible for use in the development of estimation models for various physiological parameters, including blood glucose levels.
Deteksi Adaptif Titik Kunci Sinyal Photoplethysmography (PPG) dengan Pemodelan Gradien untuk Identifikasi Pola Fisiologis
Photoplethysmography (PPG) is a non-invasive optical technique for cardiovascular health monitoring, such as blood pressure estimation and arterial stiffness analysis. However, detecting fiducial points in PPG signals such as the onset, systolic peak, dicrotic notch, and diastolic peak is often hindered by noise, baseline wander, and physiological variability. Although various methods have been proposed, such as time-frequency domain analysis and machine learning algorithms, these approaches still have limitations, including high computational complexity and susceptibility to noise. This study proposes a gradient-based analysis approach to improve the accuracy of fiducial point detection in PPG signals. The gradient method is used to detect local maxima and minima in the PPG signal. By incorporating validation and correction modules based on temporal order and amplitude ratios, the approach achieves 100% detection accuracy after initial error correction (initial error rate: 58% for the dicrotic notch). The results demonstrate that this method effectively identifies all fiducial points (onset, systolic peak, dicrotic notch, diastolic peak) in 50 out of 50 datasets, with robust performance against noise and physiological variability. This study confirms that the gradient-based method is suitable for cost-efficient, portable diagnostic applications.
Smart Vertical Farming: The Role of IoT in Achieving Sustainability and Resource Efficiency
The rapid growth of population and ongoing urbanization have posed significant challenges to global food production systems. With more than half of the world's population now residing in urban areas, this figure is projected to rise to 70% in the coming decades. The conversion of agricultural land into residential and infrastructure zones has reduced local food production capacity, increasing reliance on food supplies from outside urban areas. Additionally, climate change exacerbates these challenges through weather fluctuations that affect agricultural yields in rural regions. Vertical farming has emerged as an innovative solution, offering an environmentally friendly approach to meet the growing food demand. Vertical farming systems enable the year-round production of high-quality crops with fully automated environmental controls powered by Internet of Things (IoT) technologies. Using sensors and artificial intelligence, vertical farming can monitor and adjust growth factors such as temperature, humidity, and lighting in real time. This study aims to explore the contributions of smart vertical farming in achieving sustainability and resource efficiency by analyzing resource utilization, environmental sustainability, and economic and social impacts. The research seeks to provide insights into the potential of vertical farming as a scalable, self-sustaining mechanism to support urban food security. The findings are expected to contribute significantly to the development of more environmentally friendly and sustainable agricultural practices in the future.
Evaluation the Implementation of Smart City Components in Bali: Literature Review
Abstract—A smart city is a concept that integrates information and communication technology to improve the efficiency of public services, the quality of life of citizens and environmental sustainability. Bali, as one of the largest tourism centers in Indonesia, has started implementing the smart city concept to support economic development and overcome the challenges of urbanization. This research aims to evaluate the implementation of smart cities in Bali through a literature review approach, focusing on six main components of smart cities. Analysis was carried out on various national and international studies and reports related to smart city implementation in Bali, especially in the Denpasar and Badung areas to identify the stages of development and implementation of each component. The main focus is to examine how technology has been applied in the public service, transportation, security and tourism sectors, as well as the challenges faced in implementing this technology. The evaluation results show that the implementation of the smart city concept in Bali still faces several challenges, including limited technological infrastructure and low community digital literacy. This research provides recommendations for increasing the effectiveness and maturity of smart city implementation in the future. It is hoped that the results of this research can become a reference for the government and stakeholders in planning a more integrated and sustainable smart city development strategy in Bali. Keywords—Bali; Technology Implementation; Smart City Components; Smart City;
Literatur Review Tantangan dan Teknologi dalam Pengembangan Advance Metering Infrastructure (AMI)
The fundamental challenges related to the inability of traditional metering infrastructure to provide accurate and fast data and the lack of visibility to manage electricity usage information have driven the development of smart metering solutions. Smart metering, which is part of the smart grid architecture, has evolved over the years along with the needs of the electric power system infrastructure that requires efficient energy management initiatives. Advanced Metering Infrastructure (AMI) is one of the technologies being developed as a smart metering infrastructure. AMI consists of systems and networks, which are responsible for collecting and analyzing data received from smart meters. In addition, AMI also manages various electricity-related applications and services based on data collected from smart meters. The implementation of AMI has been proven to provide various positive results for both energy service providers and consumers. AMI is able to increase the accuracy of energy consumption recording by up to ±0.5% and reduce billing errors by up to 95%. Therefore, AMI plays an important role in the smooth functioning of the smart grid. In developing AMI technology, of course, there are challenges. Therefore, this paper provides an overview of smart metering technology, its design requirements, protocols and challenges, and policy issues.
Pemanfaatan Simulasi Jaringan Komunikasi Vehicle-to-Everything (V2X) untuk Sistem Transportasi Cerdas: Literature Review
The increasing number of vehicles has led to several complex challenges, such as traffic congestion, air pollution, and safety driving issues. These challenges also result in economic losses. Fortunately, with the advance in technologies today, we can utilize Intelligent Transportation Systems (ITS) to establish a system that is more efficient, safer, and environmentally friendly. Specifically, the concept of Vehicle-to-Everything (V2X) has emerged as a potential solution to address various road-related challenges. However, the real-world implementation of V2X still faces numerous obstacles, particularly in terms of cost and safety concerns. Deploying V2X on a large scale requires significant investments due to the need for communication infrastructure and hardware development. Therefore, simulation can serve as an initial solution to tackle these challenges. Simulations make it possible to set up different communication network protocols and architectures and to model different traffic conditions without the risks that come with testing in the real world. In this review paper, we aim to give a clearer insight into the trends, challenges, and opportunities of V2X simulations in various traffic environments.
Cover Jurnal MITE Vol 23 No 2 Juli Desember 2024
Rancang Bangun Teaching Aid Data Communication Sebagai Perangkat Pembelajaran Praktikum Komunikasi Data IoT dan Mikrokontroler
Learning media serves as a supplementary instrument, devised with the objective of streamlining the pedagogical process. This pedagogical tool assists educators in conveying material in a more lucid and engaging manner, thereby facilitating student comprehension of the subject matter. The paucity of learning aids in the laboratory of the Department Teknik Otomasi Manufaktur dan Mekatronika, Politeknik Manufaktur Bandung, impedes the efficacy of the learning process, particularly in regard to practicum activities necessitating a comprehensive grasp of data communication, microcontrollers, and Internet of Things (IoT) technology. Accordingly, the objective of this research is to construct a teaching aid device comprising an assortment of Internet of Things (IoT)-based data communication modules and STM32 and ESP32 microcontrollers. The research methodology employs the 4D method, encompassing the phases of Define, Design, Development, and Dissemination. The functionality test results indicate that each module operates in accordance with the stipulated specifications. However, the usability test results yielded an average score of 55.3, indicating the necessity for further refinement to enhance the ease of use of the teaching aid device. The dissemination of the device is facilitated through socialization activities within the broader community and its incorporation into practicum lectures.
Sistem Mandiri Energi Pada Alat Deteksi Total Suspended Particulate
Many IoT systems depend on fossil energy. Therefore, with this research, an Energy Independent System was developed on the TSP Detection Tool, namely an IoT monitoring system that is able to fulfill its own energy without PLN energy. The purpose of this research is to create a TSP monitoring system that is able to fulfill its own energy for 24 hours. The research consists of collecting tools and materials, making and assembling the unit testing system, testing energy independence, testing wireless transmission of particulate data. The system consists of nodes, Gateway, DHT22 sensor, SEN1077 sensor, anemometer sensor, wind direction sensor, battery and mppt. The average energy generated during the test was 65.3WH, the energy generated each day tends to be different, this is due to the fact that the energy generated is different from the energy generated during the test. Tends to be different due to fluctuations in solar irradiation that are not constant. In sending data wirelessly to the android application, the data received is the same as the data sent, it's just that there is a delay in sending data Which is less than one second. Based on energy independent testing obtained there is a difference in energy in some tests, the system is still able to operate independently without PLN energy, due to the presence of Backup energy. In the research the system managed to fulfill its own energy but the system needs data transmission management so that the system can run in the long term.
Perancangan Deteksi Cacat Pada Layer Solar Cell Menggunakan Sensor Tegangan Static Permukaan Berbasis Bluetooth
This study highlights use of solar panels as a promising source of renewable energy due to the abundant availability of solar energy. However, solar cells often encounter various issues and damage, such as cracks, damage during transportation, and invisible defects that are difficult to detect. To address these issues, this research develops a defect detection tool for photovoltaic cells using a surface potential sensor connected via Bluetooth. This sensor works by detecting electrostatic field on the surface of the solar cells using a copper plate. The tool consists of several components, including an AD620 amplifier module to enhance the signal, an Arduino UNO as the microcontroller, and a Bluetooth HC-05 module to transmit data to an Android phone via Arduino Bluetooth Controller app. In testing, accuracy of the tool with a power supply input at three different distances 1mm, 3mm, and 5mm. In 1mm distance yielded better and more stable measurements, with a voltage range of 3.45V to 3.69V. In 3mm distance produced a voltage range of 3.31V to 3.54V, and the 5mm distance produced a voltage range of 2.76V to 2.99V. In testing tool under sunlight at a 1mm distance, the average voltage of normal cells was 3.534V, while voltage of damaged cells was 3.685V, indicating a difference of 0.151V. This research suggests that more cracks present in solar cells, the greater electrostatic field detected. The measurement data is then transmitted to an Android phone via Bluetooth HC-05, facilitating easier maintenance of the solar panels.
Analisis Kinerja Pengendali Kaskade Pada Sistem Load Frequency Control (LFC) Hidraulik Menggunakan PIDTune Model Standard
This study evaluates the performance of a hydraulic Load Frequency Control (LFC) system using cascade controllers in various configurations with and without droop characteristics. Through MATLAB simulation, several types of controllers such as P, PI, PD, PID, PDF, and PIDF are analysed to measure transient response parameters such as rise time, peak time, steady state time, and overshoot. The results show that the droop configuration provides better performance, with faster response and reduced oscillation compared to the other configurations. The use of filters in PIDF and PDF controllers is very effective in dampening high frequency disturbances and improving system stability. The PDF and PIDF controllers, thanks to their derivative components, showed the best performance with fast response times and minimal overshoot. Overall, droop configurations, especially with PDF controllers, are recommended to maintain frequency stability in hydraulic LFC systems, especially under dynamic load conditions.
Sistem Proteksi Thermal Overload Relay (TOR) pada Motor Induksi 3 Phasa sebagai Penghancur Batu Bara di PT. Mitrabara Adiperdana Tbk
During operation, the induction motor used as a coal crusher may experience excessive workload, leading to potential overheating and system trips that disrupt the production process. To mitigate such issues, a reliable system is required to limit or prevent operational disturbances. This research collected data on the induction motor protection system at PT Mitrabara Adiperdana Tbk, followed by calculations of relay settings, specifically Over Current (OC) settings, which were then compared with observed field data. The findings indicate a significant discrepancy between the Time Overcurrent Relay (TOR) settings observed in the field and the calculated TOR settings based on motor current performance data from January and February 2023. This discrepancy arises from the operational shift of the crusher motor, which initially functioned as the primary crusher and later served as a backup. As a primary crusher, the motor operated at higher power and current levels, reaching 35 A. However, after transitioning to a backup role, the motor's performance declined, with the current reducing to 9.9 A. Similarly, power output varied monthly, with the highest recorded in January at 9.91 kW, decreasing to 9.05 kW in February. These changes in motor performance, particularly reduced current and power, significantly influenced the calculated TOR settings.
Prototype Thermoelectric Micro Energy By Utilizing The Heat Of A Sate Stove
Electrical energy is one of the primary needs that is very important in people's lives. Along with advances in science and technology (IPTEK) and rapid population growth, the need for electrical energy increases every day. However, research on the use of thermoelectric technology to harvest energy from the heat of satay stoves is still limited and has not been widely applied in renewable energy systems. The aim of this research is to design an energy harvester that utilizes waste heat from a satay stove using a thermoelectric module, so that enough power and voltage can be produced to operate a 12-volt 1-ampere DC fan The research results show that the Thermoelectric Generator (TEG) is capable of producing the highest voltage of 10V with a current of 1.06A at the highest temperature difference of 100°C. By using the Buck-Boost Converter module, the voltage can be increased to 12.6V with a current of 1A. Apart from that, this research also found that the greater the temperature difference from the furnace heat source, the greater the voltage produced by the TEG. When charging the battery, it takes 7 hours to charge from the initial voltage of 11.31V to reach 12.60V, and using the battery for 5 hours shows a decrease in voltage from 12.60V to 11.41V. Thus, utilizing the waste heat energy from satay stoves using thermoelectricity is a solution to help with the power needs of traders. And in the future it can be done with different sources to develop research and increase effective output power.
Analisis Big Data UMKM Menggunakan Apache Hadoop-Hive dengan Metode Forecasting Time Series
MSMEs (Micro, Small, and Medium Enterprises) play a vital role in economic growth, creating jobs, and improving people's welfare. However, MSMEs often face challenges in managing sales data and performance analysis, resulting in many businesses closing down every year. The Covid-19 pandemic has worsened this situation, with many MSMEs experiencing a decline in revenue and product demand. In the past five years, the application of big data analysis has increased rapidly, helping with fast and accurate decision-making. This technology, especially the time series forecasting method, allows predictions of future values based on historical data, thus supporting MSMEs in increasing productivity and competitiveness. The industrial revolution 4.0 brings big data and blockchain-based business intelligence that accelerates the supply chain and trade. This helps the government in setting regulations and making specific decisions for MSMEs. Although there are challenges in building infrastructure and deploying this technology, the benefits are enormous, such as understanding community trends through sentiment analysis on social media, improving company image, planning businesses based on consumer behavior, and making fast and accurate decisions. Apache Hadoop and Hive are efficient tools for managing and analyzing big data. In this study, MSME data in Bali Province was analyzed using the simple moving average forecasting time series method. The results of this analysis are used as a basis for providing recommendations and improving MSME management, and are expected to be a reference for better decision making.
Development of Quality Identification of Granules based on Flow Time using Infrared Proximity Sensor and Arduino
Abstract— The evaluation of granule quality before mixing into tablets includes testing moisture content, static angle, compressibility, and flow rate. Good flowability is essential for granules intended for tablet compression, as it facilitates smooth compression and ensures uniform mold filling, impacting the consistency of tablet weight and active ingredient content. Granule flow rate is measured based on the time required for a certain amount of granules to flow through a funnel, with a good flow time standard being under 10 seconds or 10 g/second. Traditional methods use a stopwatch to measure flow rate, but this study introduces an automated system based on an infrared proximity sensor and Arduino for more accurate and efficient results. Experiments were conducted with two types of granules, red and white, to test this tool’s performance. Based on measurement results, the Arduino-based tool showed a low error rate compared to the stopwatch, with an average of 1.28% for red granules and 1.03% for white granules. These findings demonstrate that this automated system can reliably measure granule flow rate, improve accuracy, and reduce the potential for manual error.
Simulasi Jaringan 5G Broadcast Low Power Low Tower (LPLT) Menggunakan Metode K-Means Clustering Studi Kasus Provinsi Bali
The growth in the total amount of data transmitted through cellular networks globally has increased significantly, especially for video content, with an estimated reach of 227 Exabytes (EB) per month by 2027. This data serves as the backdrop for the continuous development of video-based broadcasting technology to capture the growth opportunities in video content consumption, which is very rapid, by focusing on the target audience using mobile reception modes such as smartphones. The new technology considered capable of meeting this need is 5G Broadcast. This research aims to design an LTE-Based 5G Broadcast network with Low Power Low Tower (LPLT) transmitters in one of the Digital TV Service Areas in Indonesia. The design and simulation of the LTE-Based 5G Broadcast in Bali Province were conducted using the LPLT network approach, utilizing existing cellular operator BTS towers. Scenario-1, the location of the 5G Broadcast transmitters was chosen with the condition of an Inter Site Distance (ISD) of more than 3km, resulting in 292 selected transmitters based on the latest ITU-R recommendations, reports, and publications. From the simulation results using CHIRplus_BC, Scenario-2 (K-Means Clustering) is better in terms of population coverage in all Reception Modes and Location Probabilities compared to the simulation results of Scenario-1 (ISD > 3km) using the same number of transmitters, which is 292 LPLT transmitters. However, in terms of Coverage Area, Scenario-1 ISD > 3km tends to cover a larger area compared to Scenario-2. (K-Means Clustering).
Prototipe Alat Monitoring Suhu dan Kelembapan Ruang Baterai pada Gardu Induk Berbasis IoT
The battery room is always maintained at a certain temperature and humidity level to prevent the batteries from degrading due to high temperatures and poor air circulation. The aim of this study is to develop a system for monitoring and controlling the temperature and humidity in the battery room, ensuring the reliability of the power supply. The method used includes designing the mechanical and electrical prototype system and developing the controller program, followed by testing the entire system. The system consists of an STM32F103C8T6 microcontroller using a DHT-22 sensor to measure the temperature and humidity in the battery room, a voltage sensor to measure the battery voltage, and an exhaust fan. The test results showed a temperature measurement error of 0.2%, a humidity error of 4.04%, and an average battery voltage error of 0.5%. The exhaust fan operates with a duty cycle control that generates input voltages of 29.8 V, 34.88 V, and 42.88 V, which align with the standard temperature and humidity values in the battery room.
Analisis Pengaruh Beban Lebih Terhadap Efisiensi Dan Torsi Pada Motor Induksi 3 Fasa
The 3-phase induction motor is a widely used type of motor in industry due to its cost-effectiveness, compact size, and durability. 3-phase induction motors have several advantages, including high torque and efficiency. However, their performance can be affected by various factors, such as overloading. Overloading can reduce the efficiency of an induction motor. This study aims to analyze the effect of load on the torque and efficiency values of a 3-phase induction motor. The research methodology involved testing the 3-phase induction motor and analyzing the results based on variations in load torque. The results are presented in a Matlab M-file format. The analysis shows that increasing the load affects the torque value, resulting in higher output power and impacting motor efficiency. At 75% load, the motor produces a torque of 1.11 Nm, an output power of 162,8 W, and an efficiency of 41.91%. At 100% load, the motor produces a torque of 1.22 Nm, an output power of 177,7 W, and an efficiency of 38,41%. At 125% load, the motor produced a torque of 1.31 Nm, an output power of 186,0 W, and an efficiency of 35,94%. This study confirms that the optimal load condition for induction motors falls within the range of 75%.
Analisis Investasi PLTS 8 kWp On-Grid Pada Bangunan Apartemen Pariwisata di Bali
The potential for Renewable Energy in Indonesia is very high so that the government is committed to making an energy transition towards clean energy with a target mix of 23% by 2025 as stated in the RUEN. One of the easiest RE to develop and build today is the Solar Power Plant (PV). However, until 2022, the portion of the EBT mix has only reached 12.3% and specifically PLTS with a potential of 200 GW spread throughout Indonesia but its utilization is still less than 300 MW. According to ESDM press release data in 2023, the installed capacity for PLTS in 2022 has only reached 271,6 MWp. This condition is also exacerbated by changes in regulations related to the installation of PV system, especially rooftop PV where several incentive points have been removed so that the investment made becomes less attractive to the public. This research aims to find out which PV regulations can provide a mutually beneficial solutions for both the government and society in terms of increasing the renewable energy mix and the perceived impact of investment. This study uses a case study of an installed 8 kWp on-grid rooftop PV located in Tumbak Bayuh Village, Badung. Furthermore, data collection was carried out to conduct investment feasibility of the construction of the rooftop PV using 3 regulatory scenarios, ESDM Regulation No 48 of 2018, ESDM Regulation No 26 of 2021, and ESDM Regulation No 02 of 2024. The methods used in assessing investment feasibility are Net Present Value, Internal Rate of Return, Benefit Cost Ratio, and Payback Period. The final results show that ESDM Regulation No 26 of 2021 provides the most attractive investment feasibility, with the fastest PP in 5.7 years, IRR 16.18%, NPV Rp. 162,920,001, and BCR value of 1.63. However, as a mutually beneficial solutions, ESDM Regulation No 48 th 2018 is worth considering as it provides similar results for BCR and IRR in ESDM Regulation No 26 of 2021 and also can provide a mutually beneficial solutions for both the government and society.
Design And Construction Of A 3-Axis Computer Numerical Control Plasma Arc Cutting Machine With Mach3 Controller
This study investigates the design of a CNC machine with a MACH 3 controller and a floating Z-axis to enhance efficiency and precision in the cutting process of iron plates, particularly for the production of laundry machine bodies at Adhi Teknik, a small and medium-sized enterprise (SME) in Bali. The research methodology includes observations and experiments conducted at the Adhi Teknik Workshop and the Laboratory of the Electrical Engineering Study Program. The test results show that the designed CNC machine is able to work optimally with high movement accuracy with an error value of 0.00315% to 0.0125%. The use of electrical energy of CNC machines tested on 304 stainless plate workpieces with a thickness of 1 mm has an average of 104 to 718 Wh on plasma and compressor control systems. The cutting error for basic patterns ranges from 0% to 0.266%, and for additional patterns, it ranges from 0.66% to 0.518%. Based on the research results, the designed CNC machine successfully improves cutting efficiency and precision. Further development could include the creation of a knockdown frame, the use of hard gears, an inverter blowback system, and the addition of a water tank.
Rancang Bangun Purwarupa Alat Penghitung Uang Logam Otomatis Dengan Sensor Multi Coin Acceptor Berbasis IoT
Money is an object that can be exchanged for other goods, used as a means to assess the value of goods, and can be stored. There are two physical forms of money still commonly used today, one of which is coins. Counting coins manually is prone to human error and can be time-consuming, especially when dealing with a large number of coins. One solution is to design an IoT- based automatic coin counter. This research aims to design an IoT- based automatic coin counter that can help accurately count coins in various applications, such as vending machines and cash registers. The device uses a multi-coin acceptor sensor to detect and identify different types of coins, with an ESP32 microcontroller as the main controller and an IoT-based communication module to send data to a server. The developed software allows sensor data to be processed and displayed through a web-based user interface. Test results show that this device can detect and count Indonesian Rupiah coins with 100% accuracy and makes it easier for users to monitor the total amount of coins collected. This research successfully achieved its goal by producing a device that is accurate and efficient in counting coins from the four tested denominations: Rp100, Rp200, Rp500, and Rp1000.
Doping Ag Terhadap Sintesis Nanopartikel ZnO Menggunakan Metode Sol-Gel Untuk Meningkatkan Efisiensi Sel Surya
Energy availability is decreasing along with the increasing demand for energy, so renewable energy sources are needed that are environmentally friendly and easily accessible. Dye-Sensitized Solar Cell (DSSC) is one of the environmentally friendly technologies that can be relied on to convert solar energy into electrical energy. In this study, ZnO nanoparticles are being synthesized by adding Ag doping using the sol-gel method. The synthesis process is being carried out by calcination at 600° C for 3 hours and sintering at 850º C for 10 hours. The results of the synthesis are being characterized using X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM). Characterization of X-Ray Diffraction (XRD) shows a decrease in the value of the volume fraction due to the addition of Ag doping, where the volume fraction obtained is 71.9%. The particle size obtained is 576.2 nm. The addition of Ag doping does not affect the parameters of the sample grid much, because the magnitude of the values is almost the same, namely a = 3.234083 Å, b = 3.234083 Å, c = 5.194726 Å. In the analysis of the results of Scanning Electron Microscopy (SEM) characterization, the average particle size obtained is 1706.55254 nm. Current and voltage measurements from DSSC with ZnO semiconductors show a current of 14 mA and the voltage produced is 0.22 V. From this data, the efficiency of DSSC with ZnO semiconductors is obtained by 0.29%.
Cover MITE Vol 23 No. 1 (Januari - juni ) 2024
Literature Review: Evaluasi Keefektifan Framework Audit Teknologi Informasi pada Perguruan Tinggi
Paper tinjauan literatur ini mengeksplorasi efektivitas kerangka kerja audit Teknologi Informasi (TI) dalam konteks pendidikan tinggi, dengan penekanan utama pada peran tata kelola TI dalam memastikan optimalitas pemanfaatan sumber daya teknologi di perguruan tinggi. Dampak dari pesatnya perkembangan Teknologi Informasi telah terasa secara signifikan dalam berbagai aspek kehidupan, terutama di sektor pendidikan. Studi ini secara khusus melakukan evaluasi terhadap sejumlah framework audit TI yang umum digunakan, antara lain COBIT, ISO/IEC 27002:2013, COSO, ITIL V3, HCYMAF, TOGAF, dan CMMI. Metode penelitian melibatkan studi kepustakaan dengan mengumpulkan data dari sumber-sumber terpercaya seperti Google Scholar, IEEE Xplore, ScienceDirect, ResearchGate, JSTOR, dan Wiley Online Library. Penelitian ini memberikan panduan kepada pembaca melalui evaluasi menyeluruh terhadap keefektifan dari masing-masing framework audit dan didukung oleh studi kasus khusus yang mengilustrasikan aplikasinya dalam konteks perguruan tinggi. Analisis secara mendalam mencakup faktor-faktor kunci seperti keamanan, efisiensi, kepatuhan regulasi, dan kematangan keseluruhan dalam manajemen TI. Penelitian ini memiliki tujuan untuk memberikan wawasan yang lebih baik mengenai pentingnya pemilihan framework audit TI yang sesuai dengan kebutuhan unik dari setiap institusi. Oleh karena itu, paper ini diharapkan dapat memberikan kontribusi berharga dalam memperdalam pemahaman tentang peran framework audit TI dalam mengelola dan meningkatkan efektivitas penggunaan teknologi informasi di lingkungan pendidikan tinggi. Kata Kunci— Literature Review; Keefektifan; Framework Audit; Teknologi Informasi; Perguruan Tinggi.
Rancang Bangun Sistem Pengering Gabah Otomatis Menggunakan Metode Fuzzy Berbasis Arduino (Studi Kasus : PP.SR Desa Fajar Baru Kecamatan Jati Agung Lampung Selatan)
This research aims to design and implement an Arduino-based automatic grain drying system using the fuzzy control method. The case study was conducted at PP.SR Fajar Baru Village, Jati Agung District, South Lampung. This system is designed to overcome post-harvest grain drying problems which are often affected by weather factors in the region. This system uses temperature and humidity sensors to measure environmental conditions, as well as fuzzy logic control to set optimal drying temperatures. The implementation of this automatic grain drying system aims to increase efficiency, quality and productivity in the post-harvest grain drying process. It is hoped that the results of this research can make a positive contribution to agriculture in the region and become a model for the development of similar technology in the future. Keywords : Grain Dryer System; Arduino; Fuzzy Control Method; Fuzzy Logic Control; Drying Efficiency.
Kemandirian Energi Listrik di Pasar Seni Kuta dengan menggunakan Sistem PLTS
The Kuta Art Market, is a modern market that was recently revitalized in 2023. The building has renewable energy potential of PLTS on the roof area, when this potential can be exploited then the electricity consumption of the Kuta Art Market Building is no longer supplied by conventional power plants (PLN) but will enjoy clean energy of autonomous plants such as PLTS. The aim of this study is to identify the potential for generating electricity on the roof of the Kuta Art Market, determine the capacity of the battery as a reserve source of energy and the value of the investment. The research steps of this thesis calculate the solar energy potential in the area of the Kuta Art Market by using PVsyst software, collect the load profile of the Kuta Art Market. The next step is to compute the capacity of the PLTS - inverter then determine the battery capacity required according to the load profile of the Kuta Art Market and then determines the investment cost to build the solar power plant on the rooftop of the Kuta Art Market as well as to evaluate the potential cost savings that can be achieved by using solar energy as a primary resource. The total roof area of the Kuta Art Market is 780,455 m2 with energy potential of 166,23 kW. Based on the design results, PLTS will be built with a capacity of 61,6 kWp, with total battery capacity 3200 Ah. Total investment of Rp. 1,162,938.563 is required for the construction of PLTS, a payback period of 15 years 8 months, NPV of Rp. 204,439.887,26 and IRR of 8,06%. Based on the values above, it indicates that the PLTS project on the roof of the Kuta Art Market building is feasible to carry out.
Rancang Bangun Pengendali Kursi Roda Elektrik dengan Voice Recognition Module untuk Penderita Quadriplegia
Penelitian ini bertujuan untuk meningkatkan mobilitas penyandang quadriplegia dengan merancang dan membangun kursi roda yang dikontrol melalui perintah suara. Metode penelitian mencakup pengumpulan data, desain menggunakan Fusion-360, perakitan kerangka dan sistem elektrik, pemrograman Arduino Nano, serta pengujian dan kesimpulan. Kursi roda ini dilengkapi dengan modul pengenalan suara untuk menerima perintah, Arduino Nano Atmega328P sebagai pengolah input dan output, dan sensor ultrasonik SRF-05 untuk sistem pengereman otomatis. Hasil menunjukkan kursi roda dapat dikontrol sesuai perintah suara dengan keberhasilan 75%. Sensor ultrasonik SRF-05 mampu mendeteksi hambatan hingga 400 cm dengan dimensi minimal hambatan 1,5 cm diameter dan 15 cm tinggi. Konsumsi energi terbesar adalah 37-Wh untuk pengguna seberat 76 kg dengan waktu operasi 21,17 menit. Kata Kunci— Voice Recognition; Electric Wheelchair; Quadriplegia.
Media Pembelajaran Gerbang Logika Pada Mata Kuliah Sistem Digital Di Universitas Katolik Musi Charitas
This research aims to build learning media for AND, OR, NOT, NAND, NOR, XOR and XNOR logic gates for the Digital Systems course at Musi Charitas Catholic University Palembang. The Digital Systems course in the learning process is carried out theoretically and practically in accordance with the academic guidelines and curriculum of the Informatics Study Program for first semester students. In the semester learning plan (RPS) for learning outcomes that students are expected to be able to explain, understand and assemble each logic gate to match the truth table. The research stages carried out were data collection, preparing tools and materials, logic gate circuit design, logic gate circuit implementation, logic gate circuit testing and conclusions. Data collection methods used literature studies and observations at Musi Charitas Catholic University Palembang. The subjects of the research trial were 19 students of the Informatics Study Program who took digital systems courses in the odd semester of the 2023/2024 academic year. The results of the research show that the learning media for AND, OR, NOT, NAND, NOR, XOR and XNOR logic gates was produced using trials according to the truth table. The results of the descriptive trial of student responses from the aspect of suitability of the material were 73.7% strongly agree, the completeness aspect of the content was 52.6% strongly agreed, the ease of use of the media aspect was strongly agreed at 57.9%, the usability aspect of the media was 78, 9% said they strongly agree, 68.4% strongly agreed with the appearance aspect and 68.4% strongly agreed with the technical aspect. Keyword— Logic Gates; Digital System, Learning Media.
The Design and Development Of Pond Water Quality Control Using pH Booster In Domestication Of Nomei Fish (Harpodon nehereus)
Nomei (Harpodon nehereus) is a special fish and one of the characteristic of the city of Tarakan, because it belongs to an endemic animal which is only found in coastal areas which is precisely in Juata laut water. The nutritional and protein content found in nomei fish is fery high so it is much favored by the people of Tarakan. Preventing the decline in the population level of nomei fish due to continuous fishing by fisherman so that sustainable and synergistic cultivation is needed by means of domestication. To support nomei fish domestication activities, it is carried out by implementing pond water quality control by considering two measurable parameters, namely water salinity and pH using a microcontroller as a pond water quality controller. The results of controlling the up to dwon pond water salinity decreased by 3.0316% and the down to up pond water salinity increased in salinity value by 8.18382%. for controlling the pH of pond water, the system worked very well and was able to maintain the pH value at a predetermined set point at 1:08:00 AM, 2:08:00 AM, 3:06:00 AM, 4:33:00 AM, 6:37:00 AM, 7:13:00 AM, and 3:01:00 PM with pH value between 7.5 – 8.5. The recommendation from this study indicated that the water quality control system that had been created was able to maintain and control salinity nomei fish pond according to the given set point value. Keywords: Nomei fish (Harpodon nehereus); Domestification; Control; Salinity; pH; Microcontroller.
Analisa Indeks Keandalan pada Pembangkit Listrik Tenaga Mesin Gas (PLTMG) MPP Flores
Electrical energy is a vital need that is increasing from year to year. As a need, the provision of electricity needed by consumers needs to be considered so that electrical energy can be distributed reliably, safely and environmentally friendly and in accordance with established standards. To measure the ability of the generator to meet electricity needs, a reliability index is needed. This study aims to assess the reliability index at the Flores MPP Gas Engine Power Plant (PLTMG). The LOLP (Loss Of Load Probability) index value is used to perform calculations. In this study, in finding the reliability index of a generation system, referring to SPLN: 68-1A: 1986, that is for the Java-Bali system it is 3 days/year and for systems outside Java-Bali it is 3.5-5 days/year. Based on the research results, the LOLP value of the Flores MPP PLTMG in 2022 is 4.5295 days/year and based on SPLN: 68-1A: 1986, therefore the Loss Of Load Probability (LOLP) value at the Flores MPP PLTMG is said to be reliable because it meets the standards.
Analisis Tingkat Efektivitas UI/UX Sistem Informasi
Good applications and information systems have an attractive interface that is easily understood by users. A good system must also be widely accepted and used by all users. Analysis of the level of effectiveness of UI/UX information systems has been using various types of different methods so that it takes a relatively long time to learn each method that is most suitable and effective. Therefore, this study aims to analyze the level of effectiveness and efficiency of the interface and user experience (UI/UX) of information systems based on various types of methods that are generally used. The method used in this research is the literature study method, by exploring and analyzing previous research related to the measurement and analysis of UI/UX in the context of information systems. The results of this research show that the level of effectiveness of UI/UX of information systems can be measured quantitatively, accompanied by statistical analysis that reflects the level of effectiveness of the 5 commonly used methods in general. In addition, this research also shows the obstacles faced in improving the effectiveness of UI/UX in information systems, as well as the importance of paying attention to good UI/UX so that users are comfortable and can easily use the system. The output of this research can provide new insights related to how much the level of effectiveness of UI/UX on information systems. And can be a reference for other studies in choosing the appropriate UI/UX effectiveness measurement analysis method.
IoT Berbasis NodeMCU ESP8266 Sebagai Decision Support System Pengelolaan Energi Gedung Telkomsel Renon
The Telkomsel Renon Building serves as the regional telecommunications service office for the Bali and Nusa Tenggara area, covering an area of 5072 m2 with a PLN power capacity of 555 kVA. PT Telkom is committed to reducing energy consumption by implementing ISO 50001 energy management. Despite this, the use of 14 smart meters is still manually conducted, leading to a lack of real-time energy usage information. PLN data indicates an average energy consumption from 2017 to 2023 of 628.271 kWh, with an average annual cost of Rp. 696.915.017. Factors such as electrical equipment, room size, activities within, and building insulation affect the building's energy consumption. Inappropriate activities relative to room capacity can lead to energy wastage. One solution proposed for accurately monitoring energy usage in real-time involves the development of an Internet of Things (IoT) based application using Blynk. IoT is implemented in large meeting rooms with Central Split Duct AC and small meeting rooms with Split Wall AC. Measurement results indicate significantly higher energy consumption in large meeting rooms, reaching 4207.83 kWh, compared to only 467.06 kWh in small meeting rooms for similar activities. Discussions with users of small meeting rooms revealed their comfort and successful achievement of meeting objectives. By utilizing small meeting rooms, energy consumption can be reduced by up to 88.9%. Based on these findings, recommendations for room usage SOPs have been formulated for the Telkomsel Renon Building to realize energy-efficient practices towards green building standards. Keywords: Energy Management; Green Building; Internet of Things; Smart Meter.
Rancang Bangun Simulator Smart Home Berbasis IoT Dengan Sumber Daya PLTS
Electrical energy is one of the basic needs to support daily life. Renewable energy sources are an alternative that can be used as a source of electrical energy, one example is solar energy. This research aims to be able to create a control and monitoring system for electrical equipment loads based on the Internet of Things, to be able to simulate this tool as a test the system as a whole, starting from the power source to the devices to be controlled. The simulation results in the design show monitoring of load (charger smartphones) and then the system can control it by disconnecting the power source by an automatic relay which is connected to the Esp-Wroom32 via a WiFi network so that the system can run according to the user's needs. Keywords - Smart Home; Energy Consumption Intensity; System Monitoring; Smart Control; Esp-Wroom32.
Perancangan Robot Mainan Pintar Berbasis Sensor dan Teknologi Machine Learning
This research aims to explore the potential of a smart toy robot in supporting the development of early childhood in the continuously evolving digital era. Evaluation is conducted through a series of tests including image classification testing, omnidirectional movement testing, as well as training and testing of sound classification models. Image classification testing is performed to assess the face detection ability at varying distances, where accuracy presentation is quantitatively measured. The test results indicate that the robot is capable of detecting faces with an average accuracy rate of 82.6% at a distance of 10 cm and 79.4% at a distance of 50 cm. Omnidirectional movement testing shows an average error rate of 1.2% with the highest variation in the direction of 90° at -5.33%. Meanwhile, training and testing of sound classification models yield a validation accuracy of 83.4% in identifying specific sounds. Technically, this robot effectively detects faces at different distances, performs omnidirectional movements with high precision, and identifies various sounds with good accuracy. The outcome of this research is the development of a smart toy robot that can serve as an educational tool and stimulation for the development of early childhood. The novelty of this research lies in the comprehensive integration of technology in solutions for children's development in the digital era. Thus, this study provides a significant contribution to understanding and utilizing technology for children's education more effectively and efficiently in this ever-changing era. Keywords– robot; smart toy; machine learning; toddler motoric skills.
Analisis Deteksi Kemiripan Dokumen Tugas Mahasiswa pada LMS Undiknas Menggunakan Metode K-Shingling dan Cosine Similarity
Aplikasi LMS (Learning Management System) pada salah satu perguruan tinggi swasta di Bali yaitu Universitas Pendidikan Nasional (Undiknas) mulai dikembangan sejak adanya kewajiban untuk melakukan pembelajaran secara daring saat pandemi COVID melanda, dan hingga saat ini penggunaan LMS Undiknas digunakan untuk menunjang implementasi dari proses pembelajaran jarak jauh agar dapat dilakukan secara digital. Salah satu hal yang perlu diperhatikan dari metode pembelajaran jarak jauh tersebut adalah terkait bagaimana memastikan bahwa mahasiswa telah paham dengan materi pembelajaran yang diberikan secara daring. Hal tersebut dapat dilakukan dengan memberikan tugas yang harus dikerjakan oleh mahasiswa. Namun, pemberian tugas melalui LMS juga dapat menjadi celah untuk mahasiswa melakukan kecurangan dengan kerap ditemukannya bahwa antar mahasiswa melakukan duplikasi jawaban tugas dari mahasiswa yang lain. Sehingga, dalam penelitian ini dilakukan upaya untuk mengatasi permasalahan tersebut dengan melakukan analisis fitur deteksi kemiripan dokumen tugas mahasiswa pada LMS Undiknas dengan metode K-Shingling dan Cosine Similarity agar dapat digunakan oleh dosen untuk mendeteksi persentase kemiripan dari dokumen pengumpulan tugas tiap mahasiswa. Berdasarkan tahap training dan tahap testing yang telah dilakukan, didapatkan kesimpulan bahwa pada rasio partisi data 70% (training) dan 30% (testing), deteksi kemiripan dokumen tugas mahasiswa dengan menggunakan preprocessing teks dan nilai parameter K = 9 pada metode KShingling diperoleh nilai akurasi sebesar 73,55% pada tahap testing yang menunjukkan performa dan tingkat keberhasilan sistem dalam melakukan deteksi kemiripan dokumen jawaban tugas mahasiswa, dan nilai akurasi pada tahap testing ini lebih tinggi 8.24% dibandingkan nilai akurasi pada tahap training. Kata Kunci— LMS Undiknas, Kemiripan Dokumen Tugas, KShingling, Cosine Similarity.
Perencanaan dan Implementasi Optical Distribution Point Dua Kompartemen Untuk Meningkatkan Performansi Jaringan Fiber Optik
This research addresses challenges in the Optical Distribution Point (ODP) in fiber optic networks, starting with identifying issues affecting network performance. The study emphasizes the importance of reliable ODPs in enhancing overall network efficiency. Through careful planning and evaluation, this research focuses on designing a two-compartment ODP system. The research findings highlight that robust ODPs positively impact network performance by improving signal quality, transmission speed, and overall reliability. The study also explores the economic feasibility of implementing this system, ensuring that the proposed ODP solution is not only technically superior but also cost-effective based on feedback from 360 respondents, stating that the 2-Compartment ODP device can reduce operational costs and network infrastructure maintenance. This research provides valuable insights into the field of optical fiber communication, laying the groundwork for future advancements in network planning and infrastructure, ultimately aiming to optimize the performance of fiber optic access networks.
Application of ANFIS in Decision-Making on the Smart Control Early Warning System for Tornadoes
A tornado is one weather process that arises due to atmospheric instability. A tornado is a strong wind, but not all strong winds are tornadoes. Tornadoes have a short time frequency but can result in no minor disaster because they can blow objects away and uproot trees. Due to the consequences, an early warning system is needed as an anticipation for the community in the affected areas so that it can help the community by warning early on of the occurrence of a tornado. The ANFIS (Adaptive Neuro Fuzzy Inference System) method is used to forecast the event of a tornado, and the parameters used are wind speed, ambient temperature, and ambient humidity. This study will compare the ANFIS method using hybrid and backpropagation algorithms. Using the backpropagation algorithm, an error of 0.42385 was produced during training and testing, and an average error of 136.54 was obtained. When using the hybrid algorithm, the error during training is 2.0781 x 10-5, and the average error during testing is 0.015%. Keywords — ANFIS ; Anemometer; DHT22; Early Warning System; Tornado.
Peranan Kalibrasi Pada Alat Ukur : Literature Review
Calibration now has an important role in determining the operational suitability of measuring instruments in various fields. Currently, equipment, especially measuring instruments for public and public facilities, has not yet been properly calibrated according to existing regulations. Calibration is carried out to ensure data validity Which produced frommeasuring instrument. Calibration acts as a process to ensure the accuracy, precision, and reliability of measuring instruments. This article investigates several literatures related to the role of calibration in improving the quality of measuring instruments based on calibration methods that can be used according to the urgency. The results of assessing the operational feasibility of equipment or measuring instruments are determined through a calibration process. Apart from that, calibration can be carried out using several methods such us the single point calibration method, multi point calibration method, and reference instrument calibration method. Reviews based on useful calibration literature in the fields of health, environment, technology, maritime and aviation. Implementing appropriate and documented calibration is important in supporting valid data on medical devices, scientific research, traceability of sensors from a new system, guaranteeing data reliability, and providing reliable services, as well as having a positive impact on various aspects of life and technological development. Keywords—Benefits of calibration; Calibration; Calibration method; Measuring instrument; Traceability.
Perancangan Prototype Sistem Pendeteksi Penyusup Perimeter Bandar Udara dengan Metode Fuzzy Logic Berbasis Internet of Things
Keamanan Penerbangan merupakan suatu kondisi untuk melindungi penerbangan dari Tindakan Melawan Hukum melalui perpaduan antara pemanfaatan sumber daya manusia, prosedur dan fasilitas. Terdapat berbagai jenis tindakan melawan hukum dalam dunia penerbangan salah satunya adalah memasuki Daerah Keamanan Tebatas, atau area aeronautika secara tidak sah seperti kasus “Mario” yang melakukan penyusupan perimeter bandar udara sehingga masuk ke roda pesawat Garuda Indonesia pada tahun 2015. Untuk mencegah terjadinya kejadian serupa, maka perlu diterapkan fasilitas keamanan penerbangan dengan teknologi terkini untuk mengantisipasi adanya penyusup yang memasuki Daerah Keamanan Terbatas. salah satunya adalah sistem deteksi penyusup perimeter (PIDS). Dalam penelitian ini, dilakukan perancangan PIDS berbasis IoT dengan menggunakan metode fuzzy logic. PIDS yang dirancang menggunakan mikrokontroler Node MCU ESP8266 dan dilengkapi sensor PIR untuk mendeteksi pergerakan manusia, sensor ultrasonik untuk mengukur jarak, kamera ESP-32, relay, indikator buzzer. Berdasarkan pengujian skenario, kinerja dari dianalisis menggunakan metode confusion matrix dan dapat dinyatakan bahwa prototype sistem pendeteksi penyusup perimeter yang dirancang memiliki akurasi yang baik/good classification (83.33%). Kata Kunci— Keamanan Penerbangan, Perimeter Intruder Detection System (PIDS), Logika Fuzzy, Internet of Things
Rancang Bangun Six Step Inverter untuk Motor Brushless Direct Current Outrunner pada Sepeda Listrik
In general, BLDC motors have a position sensor (hall sensor) in them, where there is a hall sensor, this will provide position information feedback to the observer so that by using the sensored method the motor operation can be carried out properly because the control is perfectly synchronized with the rotor position. This research discusses regulating the speed of a brushless DC motor using a BLDC inverter motor control method, namely six-step commutation. This system uses a modified folding bicycle concept, with the controller coming from a microcontroller integrated with an Android application to monitor measurement data. Tests were carried out partially and integrated the entire system without load and using mechanical loads. The test results in this research are that the three-phase inverter has an error rate of 0.75%, as well as the voltage sensor which has an error rate of 0.49%, and the current sensor with an error rate of 0.994%. The motor speed produced by the inverter will increase as the input voltage increases. The maximum speed that an electric bicycle can reach is 30 km/h. Battery voltage, current and power measurement data is sent in real time to the Android application. Keyword— BLDC Motor, Three-Phase Inverter, Six-Step Commutation, Hall Sensor, Electric Bicycle
Optimization of Electric Bus Scheduling Using Genetic Algorithm: A Case Study in Public Transport of UNNES Campus Area
The transportation service system requires improvements to evolve into a smart and more efficient system. Passengers waiting at bus stops can create long queues, causing a lack of available shuttle bus capacity when arriving at the bus stop. This work proposes a genetic algorithm model to minimize passenger waiting time and schedule shuttle buses to stops with high capacity. The Genetic Algorithm works by searching for the optimal value to result in optimal waiting time by providing calling shuttle bus. After the method reaches the optimal solution, the simulation result will provide a minimum waiting time. In case studies of simulated design at either campus in Central Java, Indonesia. This method provides a simulated system shuttle bus on scheduling to raise a challenge in waiting time efficiency and passenger accumulation at campus transportation. The case studies of the application on passenger waiting time showcase the model's ability to improve transportation services in the unscheduled campus area. This system was designed to ensure that it was effective in addressing the transportation challenges faced by students and staff. Use the full potential of bus transportation in the campus area to ensure continuity between stops and city transportation. Therefore, this approach reduces waiting times and schedules to overcome challenges posed by passenger accumulation for structured campus transportation services. Keywords—Shuttle Bus; Genetic Algorithm; Campus Area; Minimize Waiting Time; Scheduling; Optimization.
Optimasi Pengoperasian Pembangkit Listrik Untuk Minimalisasi Emisi Gas Buang Menggunakan Metode Quadratic Constrained Programming
Pertumbuhan jumlah penduduk serta kemajuan teknologi saat ini menyebabkan kebutuhan energi listrik selalu meningkat setiap waktu, baik untuk skala listrik rumah tangga, komersil maupun industri. Untuk memenuhi kebutuhan energi listrik tersebut sebagian besar dilakukan menggunakan pembangkit listrik termal. Pembangkit termal beroperasi dengan bahan bakar yang umumnya berupa bahan bakar fosil seperti gas, minyak dan batu bara sehingga akan menghasilkan emisi gas buang yang berbahaya seperti nitrogen oksida (NOx), sulfur dioksida (SO2), dan karbon dioksida (CO2). Emisi gas buang tersebut berdampak buruk pada lingkungan sekitar serta akan berkontribusi signifikan terhadap emisi gas rumah kaca dan perubahan iklim global. Penelitian ini mempunyai tujuan untuk meminimalisasi emisi gas buang yang dihasilkan pembangkit melalui optimasi emission dispatch. Fungsi objektif pada emission dispatch merupakan emisi gas buang minimal yang terdiri dari variabel keluaran daya pembangkit dan koefisien emisi masing-masing pembangkit listrik yang beroperasi. Pada penelitian ini emission dispatch diselesaikan menggunakan metode quadratic constrained programming (QCP) dan telah berhasil diujicoba dengan menggunakan data sistem IEEE-30 bus dan sistem Jawa-Bali 500 kV. Kata Kunci—Pembangkit termal; emission dispatch; quadratic constrained programming.
Literatur Review Perbandingan Metode Pengembangan Design thinking dengan Extreme Programming
With the development of applications, both through the web and mobile, applications cannot be separated from human-computer interaction. The ease of using the application is the target of developers to attract users' interest. In this era of globalization, website applications and mobile platforms are the mostly used for public branding. Application are used to deliver message through visuals from the appearance of the application. This is inseparable from the User Interface and User Experience. In today pratice, UI/UX designers mostly favor attractive visuals over the essence and purpose of creating a website, creating deviaton at UI/UX theory, design element, and color. it is necessary to design a UI / UX in order to application is attractive and the purpose of making the application is in line with expectations. There are several approaches to application design, one of which is Design thinking and Extreme Programming. This research aims to compare the Design thinking approach with Extreme Programming where the test obtained based on a literature review concluded that Design thinking has advantages in approaching potential users while Extreme Programming is less focused on potential users.
Analisis Penentuan Respons Twitter sebagai Media Komunikasi dan Informasi Pemerintah Berbasis Metode Rabin-Karp
Social media in this digital era, especially Twitter, has an important role in the interaction between government and society. Given the wide variety of activities within government circles, the task of monitoring and responding to messages is complex and time-consuming. Therefore, this study aims to develop an effective approach in determining the appropriate response from the government to people's tweets. This study proposes using a combination of the Rabin-Karp method to quickly determine relevant responses. The Rabin-Karp method, known for its efficiency in pattern matching, is used to match tweets to a set of tweets that have already been given a response. Furthermore, the Word2Vec technique is used to improve understanding of the meaning of the text. The use of the Rabin-Karp method with the addition of the Word2Vec method shows that the response accuracy rate is 74.55%. The results of this study also show that the lower the K-Gram value, the higher the similarity value, and vice versa. These results are expected to contribute in the context of government that is responsive to societal issues discussed on Twitter.
Rancang Bangun Trainer Modul Praktikum Programmable Logic Controller Berbasis Outseal PLC Mega V.3 Standar PP
The aim of this research is to design and build a learning trainer using the Outseal Mega V.3 Standard PP PLC board to support the practical in the Programmable Logic Controller + Lab course. The method used in this research is divided into three stages, such as including system design, hardware design, and software design. Testing the practical module of Programmable Logic Controller + Lab consists of three experiments, such as basic operation of Outseal PLC, logic gates, and bell quiz. Based on the result, it can be concluded that the 3 test experiments can be declared successful because the standard Outseal Mega V.3 PLC can be controlled to receive, send, and store data.
Model Utilisasi Dan Visualisasi Resource Menggunakan Prometheus Dan Grafana Untuk Pengelolaan Server Di Universitas Udayana
Monitoring utilization server which refers to the use of server resources such as CPU, memory and storage is important in managing Information Technology (IT) infrastructure by network administrators in an effort to help maximize server performance, identify performance constraints and make decisions to increase efficiency servers. Monitoring is done by checking resource usage one by one on the server to find out which server resources are running. However, the more servers there are, the more time it takes to monitor so that it can interfere with the performance of network administrators. To make it easier for network administrators to monitor, researchers created a resource utilization and visualization model using Prometheus and Graphana which can display server resources without having to check directly on the server you want to monitor. The final result of the research produced a model that can visualize server resources in a dashboard without the need to check the servers one by one so that it helps network administrators work to monitor server resource usage.
Rancang Bangun Modul Praktikum Programmable Logic Controller Berbasis Outseal PLC
In this research, the design of PLC trainer tools and its accessories was carried out to support the making of practicum modules for Programmable Logic Controller + Lab courses by utilizing the Outseal PLC Mega V3 Standard PP board. There are three experimental designs for the practicum module of the Programmable Logic Controller + Lab course, such as running light, water level control, and application of oil to the machine. In general, the design of this practicum module is divided into 3 stages, including system design, hardware design, and software design. Keyword – PLC Trainer; Practicum; Outseal PLC Mega V3 Standard
Perbaikan Jaringan Tegangan Rendah Dengan Sisip Trafo Distribusi Fase Tunggal Untuk Mengurangi Overload dan Jatuh Tegangan PT PLN (Persero) ULP Yogyakarta Kota
Distribution transformers play a crucial role in the distribution network by transforming electrical energy from the source to the customers. This is closely related to issues in the process of distributing electrical energy. According to PLN standards, a transformer is considered overloaded when the load exceeds 80% of its installed capacity. Overloading can lead to increased transformer temperature, potentially damaging the insulation and causing power supply disruptions to consumers. A B&D 50kVA distribution transformer has been installed on pole 17A/U3-30 in the Belibis Street, Wonocatur, Banguntapan, Yogyakarta area. The transformer is currently experiencing a load of 112.5%. In this study, the insertion of an additional transformer is proposed as a solution to reduce the overload percentage and voltage drop. The transformer insertion has already been implemented in the field, and this study aims to analyze its impact by determining the optimal location through simulations. Based on the simulation results using ETAP 12.6.0, the transformer insertion on pole 1/S3-19 in the field can improve the voltage value at the customer end to 0.94 p.u., with a load of 86.6% on the inserted transformer and 35.6% on the existing transformer. However, an optimal location determination is found on pole 18/S3-17 based on the best voltage value at the customer end, which is 0.94 p.u., with the existing transformer operating at 58.1% load and the inserted transformer operating at 65.3% load. The inserted transformer can effectively reduce overload and voltage drop for customers, and by determining the optimal location, it can enhance the efficiency of analyzing load development and voltage values. Keywords— transformer; overload; drop voltage; ETAP; optimal
Audit Risk Management pada Sistem Evaluasi dan Pengawasan Realisasi Anggaran di Kabupaten Gianyar Menggunakan Kerangka Kerja COBIT 2019 dan NIST 800-30
The Development Administration Section is an organization in the field of government in Gianyar Regency which has a work program which is to supervise the realization of the budget for each RAO (Regional Apparatus Organization) and is assisted by using the TEPRA Information System to carrying out a routine evaluation process every month, so it is important for the information system to minimize the risks that may occur. The research process uses two frameworks, namely the COBIT 2019 framework and the NIST 800-30 framework. The use of NIST 800-30 found 12 gaps out of 12 threats with 8 risks being medium and 4 risks being low. Continuing the use of COBIT 2019 resulted in calculating the highest rating value in the first process APO 13 domain with a value of 4.58, a percentage of 91%, Fully category. And the domain with the lowest percentage with a value of 3.00, the percentage is 60%, the Largely category is the second and third process APO 13 domain, DSS 02 domain, first and second process DSS 03 domain and DSS 04 domain. Next, the assessment of maturity levels produces the highest score in BAI 05 domain with a value of 4.27, level value 4 (Quantitative). And the domain with the lowest score with a value of 3.00, the level value 3 (Defined) occurs in the domain DSS 02, DSS03, and DSS 04. Next, the gap level assessment with the highest value occurs in the third process APO 14 domain with a value of 1.92 which is the level of effectiveness in using problem data that does not run smoothly according to system functionality. Based on the results of the research conducted, it is hoped that it will create a developing government and create good governance, so that in the process of developing an information system, the recommendations for improvements that have been suggested can be implemented.
RSSI Measurement Analysis of Zigbee-Based Wireless Sensor Networks in Various Topologies for Solar Panel Monitoring
Abstract— Solar panels require performance monitoring when energy shortages occur in the area. Monitoring solar panels requires a detection device to detect solar panels, including the ACS712 current sensor for monitoring the output current of the solar panel, a DC voltage sensor for monitoring battery performance, and a DHT11 temperature sensor for monitoring the temperature of the solar panel storage battery. The WSN technology that can work is ZigBee communication. This ZigBee communication research uses various topology methods, including star, tree, and mesh topologies. Solar panel monitoring tests are carried out indoors and outdoors. The ZigBee communication device used is the XBee S2C device, which operates at a frequency of 2.4 GHz. From a comparison of various topologies, the mesh topology is a topology with good performance because it has the characteristic of choosing a router with the fastest path to reach the coordinator. It is proven by monitoring solar panels with an optimal distance of 80 m, which is carried out from outdoors with an RSSI value of -84 dBm, a throughput of 0.55 kbps, and a delay of 2.77 ms, producing power for 150 minutes with an average current of 0.14 A, voltage of 9.86 V, and temperature of 31.48°C. The number of disturbances and weather conditions greatly affect signal propagation, which can hamper the data transmission process. Throughput fluctuates due to uncertain weather conditions, and delay fluctuates due to a lot of interference from other radio signals. Keyworrds— Wireless Sensor Nirbael (WSN), RSSI, ZigBee, Panel Surya, Thinger.IO
Eksperimen Gabungan Teknik Reduksi PAPR Dan Predistorsi Pada Sistem OFDM Menggunakan USRP
In this paper, the performances of the joint technique of PAPR Reduction with ICF method and predistortion with inverse Saleh model on OFDM system are evaluated. The system’s performances at the receiver are presented by constellation nodes of QAM symbols From the experiment results can be shown that the predistorstion improves the system’s performance since the spreading of constellation nodes became smaller. While the performances of PAPR reduction technique are shown as the PAPR reduction values for clipping ratio (CR) values of 5, 4 and 3. The PAPR reduction values are 7,6 dB, 8,4 dB and 9,4 dB. And the predistortion technique can reduce the PSD gain of OFDM signal and linear high power amplifier of 30 dB.
LED lights of various colors for comprehending the photoelectric effects phenomena
In this project, a tool that can explain phenomena involving the photoelectric effect at laboratory scales is being developed. The purpose of this tool is to help users understand that the photoelectric effect, which causes electrons to move from a source of a negative voltage to a source of positive voltage, is not affected by light intensity but rather by a light source's frequency and wavelength. A photodiode is employed in the creation of this device as a light sensor, and when exposed to light, it moves electrons from the cathode to the anode, causing an electric current to flow. The voltage is delivered to the cathode, which is where the electrons leave, to calculate the stopping voltage. A graph showing the connection between the ADC value and the sensor output voltage is produced from the ongoing data gathering. Our results show that each color spectrum has a distinct voltage supplied to the photodiode leg (cathode). Additionally, the output voltage measured for each distinct wavelength was decreased the lower the photodiode's light intensity was.
Sistem Inspeksi Visual Penempatan Label Produk Lip Cream Line Menggunakan Metode Deep Learning
SBL (Single Bottom Labeller) machine which was still not precise for placing the bottom label batches of lip cream products. Postal operators must then check one by one to ensure product quality control so that there are bottlenecks. Therefore, this research uses the YOLOv5 deep learning method to solve this problem. The YOLOv5 algorithm uses the idea of regression, making it easier to learn generalizations, target characteristics and solve speed problems. The YOLO algorithm uses a one-stage neural network to complete the localization and classification of detected objects in real time. The core idea of YOLO is to take the entire image as network input and directly return the bounding box position and bounding box class in the output. In YOLO, each bounding box is predicted by the features of the entire image, and each bounding box contains the five predictions and a confidence, which is relative to the grid cell in the middle of the bounding box. The results of research using the YOLOv5 method can classify into three classification categories of bottom label placement, namely accept, reject and no label. In addition to classifying, this study will also send triggers to the controller if the bottom label is said to be rejected and no label to do product sorting to assist QC operators in sorting lip cream production defects.
Analisis Efisiensi Energi antara Lampu LED dan Lampu Konvensional (Studi kasus: Pada Hotel Cap Karoso)
LED lamps are an example of an efficiency method compared to conventional lamps because of their higher energy efficiency. In this research, a comparative analysis of electrical efficiency was carried out between LED lamps and conventional lamps. This research collected data from a number of lamps used in a comparative study of LED lamps and conventional lamps at the Cap Karoso Hotel and were tested under the same conditions. The types of LED lights used are recessed downlights, track lights, pendant lights and wall scones. While the types of conventional lamps used are incandescent, halogen, fluorescent and HID. Comparisons and calculations were made in terms of watt energy and electricity costs. Based on these parameters, it can be seen the energy produced and the costs required from both types of LED lamps and conventional lamps. Based on calculations and comparisons of the two types of lamps used, it is calculated that LED lamps can save energy and cost savings by 27%.
Prediksi Nilai Cryptocurrency Dengan Metode Bi-LSTM dan LSTM
The current rapid development of technology can facilitate all human activities, so that all aspects cannot be separated from technology, including the financial sector. With the development of technology, it is also accompanied by the introduction of various investment instruments. Every time you make an investment, of course there will always be various risks that come with it, including investing in cryptocurrencies, one of which is bitcoin. Unlike conventional currencies, bitcoin is not decentralized so that its price development is not under the supervision or control of any party, where as conventional money there is a certain institution that oversees and controls its movements. This causes the price of the exchange rate of bitcoin to be inconsistent or unstable. With the prediction method, bitcoin users can determine the right time to carry out transactions. This study aims to predict bitcoin prices using the LSTM and Bi-LSTM methods. Based on the research results, the best prediction results were obtained using the Bi-LSTM method with an RMSE of 1482.73 whereas with LSTM it produces an RMSE of 1768.69 so that it can be concluded from an accuracy perspective that Bi-LSTM gives more accurate results but with Bi-LSTM it requires more resources.
Pengembangan Sistem Notifikasi Pada LMS Moodle Melalui Penerapan Multi Channel Access Dengan Pemanfaatan Webhook
The development of Moodle E-Learning technology has progressed rapidly to meet and support diverse learning needs. In the learning process of Moodle E-Learning, various activities are involved, such as creating assignments, providing assessments, and other activities. However, these processes have limitations, such as students not being immediately aware when assignments are created or when assessments are given. This often leads to delays in completing tasks as students wait for manual notifications from their instructors. Additionally, students sometimes forget to regularly check Moodle for updates. To address these shortcomings, the researcher aims to develop a MCA notification BOT application that integrates Moodle with social media platforms like Line and Telegram using webhooks. The purpose of this system is to help students receive real-time information about assignments and assessments provided on Moodle by their instructors. The testing results demonstrate that the implemented features function well and align with the intended design.
A Literatur Review Green Energy Pada Pemancar Sistem Komunikasi Seluler
The number of users and the frequency of use of telecommunications systems are increasing rapidly and causing a greater demand for energy use. Based on many studies conducted by various network operators, that the largest energy consumption and the most impact on the environment is wireless networks from both the recipient and sender sides. The amount of CO2 emissions is increasing in communication systems, equivalent to the increase in cellular consumers. And it is also observed that the current wireless network is not energy efficient, especially the Base Station (BTS). The rapid and alarming growth in wireless network users is forcing us to use higher mobile broadband data rates. The need for an urgent network architecture restructuring in order to provide good service but still be environmentally friendly. In this article, we will discuss several innovative methods to increase the energy efficiency of wireless networks and develop solutions that reduce operating costs and the impact on the environment.
Analisis Komputasi Paralel pada Image Encoding Framework untuk Konversi Citra Data Deret Waktu Sistem Kontrol Industri
Sensors in industrial control systems send a series of data each time, known as time series data, to the controller. The data contains important information for the controller to determine the control signal for the actuator. The appearance of anomalies in time series data can be detected using the Convolutional Neural Network (CNN) method utilizing image encoding techniques such as Gramian Angular Field (GAF) and Markov Transition Field (MTF). This technique converts time series data into images through data preparation, encoding, and conversion. Dividing extensive data into many smaller segments requires repeated encoding and conversion processes. Repeated processes that are done serially take a long time, which slows down the detection of anomalies and the responses that must be taken. This research applies parallel computation with Joblib and Mpire libraries on the GAF and MTF image encoding provided by the Python-based pyts library. The n_jobs configuration determines the number of CPU logical cores used to execute the program. According to the number of CPU logic cores of the computer, applying the value of n_jobs = 8 can save an average processing time of 63% (Joblib) and 49% (Mpire), which theoretically will be able to detect anomalies that occur at least every 62.73 ms (Joblib) and 86.20 ms (Mpire) compared to 167.51 ms in serial computing.
Model Object Detection Neural Network Berbasis Hand Gesture Recognition sebagai Kontrol Prostesis Tangan
Most people with disabilities due to accident injuries are patients after an arm amputation which can cause psychological disorders and even major trauma. The urgency of hand prosthesis functionality is increasingly needed. Hand gesture recognition (HGR) can be used to control hand prostheses, judging from the similarity in shape of objects/objects that tend to make the same hand movements. This development uses three common types of movement, namely pinch, pick, and grab. Developing a neural network model capable of implementing this concept is necessary. The neural network model developed uses the YOLOV7 and YOLOV7 tiny pre-trained networks with datasets collected through the public image data scrapping method. The dataset is 317 images and 2278 object labels with a training ratio of 80:20 testing. The training process uses the Pytorch framework with 300 epochs. The results of the loss values for each epoch show that the model is trainable in the given dataset. The training results are then evaluated by evaluating number of parameters, frame per seconds (FPS) and mean average precision (mAP) using a testing dataset. The overall results show the highest evaluation metrics in the model, with YOLOV7 pretrained with parameter number of 36,9 million, FPS of 161, and mAP of 98,11%. The model has the potential to be developed and implemented as a support for the control functionality of hand prostheses.
Sistem Pelaporan dan Monitoring Data Limbah Pada Dinas Lingkungan Hidup dan Kebersihan Kabupaten Badung
In the waste reporting process is still done manually, so the hotel is required to come to the Badung Regency Environment and Hygiene Office and then submit the report. These activities cause the reporting process to require a long duration and the progress of the report cannot be monitored by the hotel. The formulation of the problem in this study is how to report and monitor waste data from hotels quickly using the Waste Data Reporting and Monitoring System. The purpose of this research is to help hotels, especially in Badung district, in providing waste reporting quickly. In making this system, the design concept goes through the stages of data collection, Cross Functional Flowchart, Context Diagram, Level 0 Data Flow Diagram, Entity Relationship Diagram, Conceptual Database and Interface Design. And then implement it with Hypertext Preprocessor Programming (PHP), Bootstrap Framework, MySQL.
Optimasi Performansi Sistem Kontrol Prosthesis Lengan Dengan Menggunakan Metode PID Tuning Dengan MATLAB
The arm prosthesis in this study will analyze the control system of one finger with 3 joints, the aim is to determine the optimal performance of the control system for the prosthesis using 3 combinations of software, namely autodesk fusion 360, autodesk inventor as the design of the arm prosthesis, and matlab simulink simscape multibody as a simulation of PID tuning with a value of 4.0715 for proportional (P), 99.3021 for integral (I), and 0.039866 for (D) resulting in a movement performance with a rise time of 0.00431 seconds, settling time of 0.026 seconds, and overshoot of 4.76%.
Sistem Monitoring Debit Air Berbasis Internet of Things pada Saluran Air
Manual measurement and recording of water debits has many drawbacks, including inaccuracies, time inefficiencies and requires a lot of human effort. Along with technological developments, the Internet of Things (IoT) is the right option to reduce human interaction with hardware in terms of continuous monitoring. This study aims to design a prototype of a water discharge monitoring system with precise accuracy and efficient use of electrical energy. The water discharge monitoring device system is designed based on IoT with NodeMCU as the main processor, while the water flow sensor is used as a transducer in charge of collecting data. Furthermore, the data collected by the hardware will be sent to the server with the IoT protocol via Blynk application. The results of the study show that the designed system works well, able to transmit data via IoT remotely, and has relatively high accuracy.
Game Sebagai Layanan (GAAS) Pada Platform Cloud Gaming Gameqoo
Today’s games have entered the next generation gaming phase or the highest generation in the world of gaming. In today’s rapid development of games, it requires users/players to have computers with higher specifications. There is a way for players to run games that have high specifications with computer devices that have low specifications, with cloud gaming technology. There is a cloud gaming server in Indonesia called Gameqoo. To find out the feasibility of a game that is played on a cloud gaming service, it requires parameters that will measure it from the game side and form the user side, namely Quality of Service and Quality of Experience. With the existence of cloud gaming services, the experience of playing games on computers with low specifications becomes light and has pretty good visual quality. This is evidenced by the packet loss value which is 0%, the delay and jitter has value are still in the good category, the use GPU usage is below 5%. The research questionnaire was designed in such a way with an answer scale called the MOS (Mean Opinion Score) to measure Quality of Experience, and an average score on the MOS rating of 4.15 which gets a Good score on the MOS assessment standard. Keywords— Cloud; Quality of Service; Quality of Experience; Mean Opinion Score
Monitoring Tegangan dan Arus Pada Panel Surya Menggunakan IoT
Solar panel is a potential technology for harvesting solar energy, especially in tropical countries like Indonesia. Currently, energy harvesting technology based on solar photovoltaic (PV) has reached an advanced stage and is widely applied to various applications. On the other hand, the massive number of PV-based solar power plants (PLTS) makes the maintenance process even more difficult. Therefore, we need a solution that can streamline this maintenance process. With the use Internet of Things (IoT) Technology, we can monitor the health conditions of PLTS online and real-time. This study uses the NodeMCU ESP8266 microcontroller and the INA219 sensor to monitor current and voltage at PLTS system, then the data will be sent via the internet to the Blynk application. The research method used is to collect data every 10 minutes in the morning, afternoon, and evening. The results showed that the use of the NodeMCU ESP8266 microcontroller and the Blynk IoT platform for solar panel current and voltage monitoring applications can reduce production costs with optimal and stable measurement and monitoring results. Keyword— Blynk; Internet of Things; Monitoring; NodeMCU; Solar Panel.
Proyeksi Traffic Jaringan Gigabit Passive Optical Network Pada Cluster Sumbersari Jembrana
Abstract—This research was conducted to determine the projected growth of subscribers and traffic in the Sumbersari cluster in five years. This study has three stages, namely collecting customer and traffic data, making projections of customer and traffic growth and analyzing projected customer and traffic growth in the Sumbersari cluster. The results of this study are the existing Sumbersari cluster network using a gigabit passive optical network with fiber to the home architecture with cascading passive splitters 1:8 and 1:8. The Sumbersari cluster has a capacity of 512 subscribers (home pass) and 323 existing customers that have been installed (home connected) with a take-up ratio of 63% and the Sumbersari cluster has an average maximum traffic of 454 Mbps with a traffic capacity of 1000 Mbps. The Sumbersari cluster has projected customer growth in 2026 of 605 customers, so expansion is needed to meet the projected customer growth needs. The Sumbersari cluster has a projected traffic growth in 2026 of 805 Mbps, so there is no need for additional traffic capacity. Keywords— Take up ratio, homepass, homeconnected, traffic
Evaluasi Model Machine Learning Klasifikasi Gerak Tangan Untuk Sistem Kontrol Prototipe Prostesis Tangan
Obstacles in the form of loss of function of body parts will cause difficulty in carrying out normal activities. In the application of electromyography (EMG) and electroencephalography (EEG) sensors that are not good at compensating for various kinds of human physical conditions, force sensing resistor (FSR) sensors can be an alternative to EMG and EEG in hand prostheses. In planning the neural network model, the data needed for the actual output is only in the form of hand gestures for post-amputation non-patients. Long Short Term Memory (LSTM) is used because it can handle data processing in the long run which is one of the conditions that arise in sequential data processing. The resulting evaluation metrics are in the form of accuracy values in training data with epoch 200 and accuracy in data testing. The first result with no dropout variation shows the accuracy value in training is 0,9449 and the accuracy in testing is 0,961 with the loss value in training is 0,1284 and the loss in testing is 0,0717. The second result with dropout variations shows the accuracy value in training is 0,9699 and accuracy in testing is 0,9688 with a loss value in training is 0,0803 and loss in testing is 0,1061. the metrics accuracy evaluation generated on the dataset has exceeded the value of 0,9. This indicates that the model has run well for the classification of 11 movements. Keyword — Control System; machine learning; moving arm; prostesis arm.
Rancang Bangun Sistem Pemantauan Panel Surya Berbasis Internet of Things
The application of the internet of things is starting to be widely used at this time. One of the developments in internet of things technology is monitoring a system with an Android application wirelessly. This study aims to design and build a solar panel monitoring system based on the Internet of things using the NodeMCU ESP32 developer board. The design of this system can make it easier for users to monitor solar panels in real time through an android application. The test is carried out by operating a solar panel monitoring system. Data from each sensor is compared with a comparison measure to get the difference in values. The results of the INA219 sensor test get an average difference in voltage of 0.09% and an average difference in current of 4.08%. The test results for the DHT11 sensor get an average difference in temperature of 0.77% and a difference in relative humidity of 1.82%. The results of testing the BH1750 sensor get an average difference in light intensity of 39.93%. This monitoring system can operate in accordance with the design and reading of data from sensors that have been sent to Firebase so that it can be seen in the Android application. Keyword— Solar panel; Internet of Things; Android; DHT11; INA219; BH1750; ESP32.
Pengelolaan Barang Milik Negara Menggunakan Sistem Pendukung Keputusan Berbasis C5.0
The recording of State Property at Udayana University on SIMAK-BMN has been carried out well, but the recorded State Property data only supports the preparation of balance sheets, lists of goods, reports of goods and control cards. The amount of data that is increasing every year has not been utilized optimally. The large amount of data at Udayana University and the superiority of K-Means in data grouping makes it possible to group data at the preprocessing stage using K-Means, then forming decision tree rules using C5.0 which is a refinement of the ID3 and C4.5 algorithms. The variables used in the formation of the decision tree are conditions, useful life and warranty period. The results of the study show that the decision tree rules that are formed are first checking the useful life, secondly checking good and other than good conditions, thirdly checking damaged conditions, namely lightly damaged and heavily damaged, and fourthly checking the warranty period. The recommendations generated by the decision support system are 2,894 preserved items, 1,397 deleted items, 112 maintained items with guarantees and 18 maintained items without warranty, out of a total of 4,421 items. The accuracy obtained is 97.69% calculated using the confusion matrix. Keywords : State property; K-Means; C5.0
Utilization of the 915 MHz LoRa Communication Module as a Navigational Tool in Rural Areas
The high interest of mountain climbers in Indonesia also increases the risk of accidents that can occur in climbing. To reduce this risk, we need a tool system that can assist local officers in monitoring the location and condition of climbers. However, due to the many signal limitations and internet connections in mountainous terrain or rural areas, there is a need for other alternative media that can be used to monitor climbers' location and conditions. The LoRa (Long Range) communication module can solve the mountain's limited signal and internet connection. Navigation uses the LoRa SX1276 module based on Radio Frequency (RF) as the transmission medium in the 915 MHz frequency range. The data transmission uses the repeater principle as a bridging medium between devices which can then be displayed via the Android application via Cloud Firestore or Bluetooth media. From the results of the tests that have been carried out, it can be concluded that the system works well in transmitting data via Radio Frequency (RF) with an average RSS reduction of -5.1 dBm every 45 m at a radius of 450 m, Cloud Firestore with an average delay of 0.3855 seconds and Bluetooth with reduced RSSI of -5.5 dBm every 5 m with a maximum radius of 50m. Keyword—Radio Frequency(RF), Wireless, Aplication Android, Cloud Firestore, LoRa.
Gangguan Penyulang Akibat Kegagalan Proteksi di Circuit Breaker Output Pelanggan Pada Gardu Distribusi MP 244
The distribution network requires a protection system so that the electric power is distributed optimally using CBO cubicles (Output Circuit Breakers). the differencese with general cubicles are additional devices in the form of Circuit Breakers or PMT, Current Transformers (CT), Potential Transformers (PT), and relays. CBO installation is important to minimize disturbance to the feeder. Medium Voltage Network has spindle, mesh, and radial configuration. The MP 244 substation is also equipped with Ground Fault Detection (GFD) which functions as a short circuit fault detector to the ground and to speed up localizing interference on 20 kV. Maintenance of medium voltage distribution networks is divided into replacement, predictive, preventive, and corrective maintenance. Meanwhile, in the maintenance of the 20kV cubicle, PLN officers must also follow various stages regulated in certain SOPs. The aim of the research is to maintain the 20 kV cubicle in the medium voltage distribution network based on the applicable SOP so that protection failures at the MP 244 distribution substation do not recur. Keyword— Circuit Breaker Output (CBO); Ground Fault Detector (GFD); Network; Corona; Cubicles 20kV; Medium Voltage
Perancangan Jaringan Fiber To The Home Berbasis Gigabit Passive Optical Network Dengan Dual Stage Passive Splitter
Abstract— This study was conducted to find out which network is more effective and the quality of the existing network, Design A, and Design B at Wongaya Cluster. Existing network has 368 homepass, with 259 homeconnected users. Using the Farthest FAT (F.8) output attenuation of field measurement was -20.11 dBm, the optisystem test obtain an output attenuation -19.954 dBm, and based on power link budget calculation, output attenuation was -20.399 dBm. Existing network has a projection for the next five years of 462 users. Design A has 496 homepasses and tested on farthest FAT (G.4) testing on the optisystem to obtain an output attenuation of -19.704 dBm, and based on the calculation of the power link budget, an output attenuation of -20.7414 dBm was obtained. Design B has 256 homepasses and tested on the furthest FAT (H.4) testing on the optisystem to obtain an output attenuation of -16.765 dBm, and based on calculation of the power link budget, output attenuation was -17.09175 dBm. Based on results of this test, Design A is more effective design to use because it can meet customer needs in five years with quality according to ITU-T and Company standards. Keywords— FTTH, GPON, attenuation, homepass, homeconnected, link power budget
The Antecedent of Customer Satisfaction towards to Attitudinal Loyalty and Behavioural Loyalty (Study at Customers of PT. Telkom Indonesia Witel Denpasar)
Telkom Indonesia introduced fixed broadband, with its IndiHome product in 2015. According to the Triple Play service, IndiHome's flagship service, as well as other services, the core of IndiHome products is its internet service. Other services, such as voice (telephone) and interactive television (UseeTV) are ride products (augmented products). The goal of this study is to provide insight for future studies that will be conducted by researchers on service quality, which includes network quality, customer service, information quality, and customer data security. It also involves customer satisfaction, behavioural loyalty, and attitude loyalty. The issue in this study is that the number of customers who churn (unsubscribe the services) is increasing, indicating that customers are less loyal to IndiHome services. This study sent a questionnaire to 258 Witel Denpasar respondents who had subscribed to IndiHome for more than one month and had visited the Plaza Telkom in August 2022 in order to collect respondents' responses. The sampling technique used in this research is purposive sampling, which is a sampling technique with certain considerations. Data collection in this study was carried out by distributing questionnaires online via the Google form. And the data analysis technique used in this study is the structural equation modelling (SEM) method using LISREL 8.8 software. Keywords: Customer Satisfaction; IndiHome; Structural Equation Model; Behavioural Loyalty
Literature Review Skema Proteksi Jaringan Distribusi Yang Terhubung Dengan Pembangkit Tersebar
Connecting distributed generation (DG) to the distribution network faces several challenges. One of them is related to the protection sistem scheme. The coordination of the existing protection sistem is unable to work properly with DG connected. Changes in short circuit current level, bidirectional power flow, blinding protection, false trip, and auto recloser failure are the problems presented in this paper. Several researchers have developed a protection scheme to overcome this problem. This article reviews some schemes that have been proposed previously. The article to be reviewed is only for AC sistems and does not include signal processing methods due to the complexity of the implementation stage. The protection scheme under review consists of adaptive scheme, differential scheme, distance relay scheme, voltage scheme, fault current limiter (FCL) scheme, and overcurrent protection scheme. The results of the review show that the proposed scheme has not considered DG with an inverter interface. The use of expensive communication channels is still a mainstay in adaptive and differential schemes. Transient problems due to DG connection and disconnection, as well as unbalanced loading, are also encountered. Keyword— distributed generation protection; AC microgrid; Distributed Generation/DG
Perancangan Sistem Monitoring Sun Tracker Dual Axis Berbasis Web Socket
Sun tracker is a system that developed to get the maximum energy of sun light while following the sun position. Most of the solar panels do not have this kind of technology to monitor the position that has the maximum voltage, thus a website application is made to monitor the voltage that is received by the sun tracker in realtime. Web socket technology is the solution to obtain information in real-time. Socket.io is the service that is used to fulfill this web socket technology in this development system. Socket.io is a web socket technology for websites that allows servers to process data in real time so that information on the angle position of the sun tracker and the voltage received by the solar panel can be sent to the website in real time. As a result, this monitoring system is able to move the solar panel in accordance with the direction of sunlight and display the angular position of the solar panel and graph of the voltage received by the solar panel directly (real-time) using socket.io. Keyword— Monitoring, Socket.io, Sun Tracker, Solar Panel
Proteksi Konsleting Listrik Dengan Memutus Jarak Jauh Arus 3 Phasa Beban Besar Dengan Kombinasi Solid State Relay (SSR) dan IoT NodeMCU 8266 Menggunakan Aplikasi Blynk di Sub Panel Gedung Telkomsel Smart Office Renon Denpasar
70% of building fires in Indonesia are caused by electrical short circuits, the rest are caused by other things such as negligence and also gas. Electrical short circuits contribute to the biggest problem in cases of building fires in Indonesia due to concern for maintenance and checking which is often missed due to problems with routine and periodic checking schedules that are not monitored in a lifetime or continuously. One of the methods used to overcome this problem is to continuously monitor the measurement values on the electrical sub-panels in real time. Manual checking is no longer effective due to electrical problems. One minute ago we checked and we can conclude that the panel is in good condition and safe. Because electricity can suddenly have problems without us realizing it and it really needs to be handled extra quickly to take action to cut off the power lines so that short circuits or hot copper sections do not occur which can cause panel fires and can also cause building fires. With today's increasingly sophisticated digital technology, we can innovate by implementing IoT (Internet Of Thing) using the Bynk Android Application as a remote control for monitoring load values and also being able to trigger 3-phase power lines using only a smartphone anywhere as long as the internet is connected so that when If there is an electrical problem with the sub panel inside the building, it will be handled/disconnected immediately. From the research results obtained, the Solid State Relay component can be combined with a microcontroller as the main control line to cut off large electric currents, where the microcontroller uses a 5 Volt input control and SSR (Solid State Relay) uses a 3 Volt - 32 Volt output so that it can be modified and can cut off and monitor traffic only with a smartphone using the Blynk Application. Keyword—Aplication Blynk; short circuits; Protection; SSR (Solid State Relay)
Perankingan Dosen Berbasis Aktifitas Forum Moodle Menggunakan Metode Fuzzy Tsukamoto
The online learning process currently utilizes a Learning Management System, one of which is Moodle. Moodle provides a forum menu where the forum is a digital forum for asking questions and answering and sharing between lecturers and students. Lecturer and student activity can be seen from the forum menu. For this reason, research was conducted on the ranking of lecturer activities in the moodle forum. The ranking determination uses the Fuzzy Tsukamoto decision making system. Fuzzy Tsukamoto has step efficiency in determining rules and processing data that has a taboo range and produces crips output. The processing steps carried out are determining the variables, giving weights, creating a fuzzy set of each variable, then the fuzzification process and creating a rule base and finally, defuzzification, namely the calculation of negligence and output. Based on the rule and the predicate alpha value, the appropriate value is obtained to rank the quality of lecturers based on their activities in the moodle forum. Keywords — database, forum, fuzzy, moodle, tsukamoto
Perancangan Fitur Deteksi Kemiripan Dokumen Jawaban Tugas Mahasiswa pada Sistem Manajemen Pembelajaran dengan Metode K-Shingling dan Cosine Similarity
Technology development can be used to support the teaching and learning process so it can runs more effectively and efficiently, and one of the applications that can be used to support this process is the Learning Management System (LMS). LMS provides an integrated platform starting from delivering learning materials to students, and evaluating learning process. The evaluation method that can be done at the LMS is giving assignments to students, and students can do submission by uploading their documents assignment answer. The common problem is many students do plagiarism by duplicate the answers of other students. To overcome these problems, this study will implement feature in Course Assignment Menu in LMS to detect the similarity of student assignment document using K-Shingling and Cosine Similarity methods. The K-Shingling algorithm is used to form shingles or word fragments based from all text in the task answer document that has gone through the pre processing stage, then each document have shingle value vector which will be used to compare the similarity values between documents using Cosine Similarity. The results obtained in this study is the developed feature is capable to detecting the similarity percentage of the assignment answer documents from each student, and from that percentage value it can indicate whether the students assignment answers is plagiarism to other students assignment answers. Keyword : LMS; plagiarism; K-Shingling; Cosine Similarity
Analisis Penyebaran Covid 19 Menggunakan Model SIR (Susceptible, Infected, Recovered) Di Provinsi Bali
The Corona Virus Disease 2019 (Covid-19) pandemic was announced by World Health Organization on March 11, 2020. World Health Organization explained that Coronavirus is a virus that can cause disease in animals and humans. The spread of the Covid-19 virus has spread to Indonesia and has spread to all provinces. The spread of COVID-19 can be modeled mathematically using the SIR model. The SIR model is divided into three compartments, namely susceptible individuals, infected individuals, and recovered individuals. SIR estimates can be checked for error rates using the MAPE method. The results of the SIR estimation in Bali Province obtained are that the Covid19 pandemic will end on August 09, 2024, the SIR model applied produces an error rate of 49%, the error rate is quite good because the MAPE value is between 20% and 50%. Key Words— COVID-19; SIR; MAPE.
Aplikasi Waste Assessment Model (WAM) Pada Proses Perencanaan Anggaran Menggunakan Sistem SILUNA
Implementing an audit process is one way to raise the quality of both products and processes. Detecting the presence of waste is one of the audit procedures that can be used. Waste is a behavior in and of itself that adds no value. Lean is the auditing technique used to find waste. Lean primarily focuses on identifying and removing non-value-added activities. Lean has a mechanism for identifying waste in its implementation, and that method is the Waste Assessment Model (WAM). In the Planning Section of the Planning and Finance Bureau of Udayana University, the application of WAM is concentrated on planning to identify waste in the budget process utilizing the SILUNA system. The findings of this study can be summarized as follows: defect is the largest waste with a proportion of 19,79%; inventory are the second sequence of waste with a proportion of 16,35%. Key Word— Lean; Waste; Waste Assessment Model
Alat Pemberi Pakan Ikan Lele Dalam Drum Otomatis Berdasarkan Usia dan Jumlah Ikan Dengan Metode Fuzzy Logic
Abstract— The trend for consumption fish consumption continues to increase rapidly, even the Food and Agriculture Organization (FAO), says fish cultivation output is expected to increase by around 172 million tonnes in 2021. Therefore efforts are needed to increase national catfish production. New methods of cultivating catfish have emerged, one of which is the method of cultivating catfish in drums. However, there are still many catfish breeders in drums in Indonesia who still use conventional methods which are no longer effective, because many catfish seeds die before maturity, this is due, among other things, to unscheduled feeding and the amount of feed weight that is inaccurate with the amount and the age of the fish in a drum which causes the growth of catfish to be less than optimal. Based on these problems, it is encouraging to develop a tool that can control and monitor fish feeding schedules and the total weight of fish feed according to the number and age of fish in one drum based on a microcontroller by utilizing the fuzzy logic method which can facilitate the process of reasoning in language. (linguistic reasoning), and only by means of a smartphone, farmers can set feeding schedules and choose the number of fish and the age of the fish in a drum. The result is that the tool is able to provide feed according to the feed schedule with an error rate of 0%, and the tool can provide feed according to the feed dosage with an accuracy of up to 98.9% with an average accuracy of 96.09%. Keywords— Automatic Fish Feeder, MQTT Dashboard, Fuzzy Logic
Pendeteksi Jumlah Orang pada Sistem Bangunan Pintar Menggunakan Algoritma You Only Look Once
The development of the Internet of Things today is very rapid. one form of this development is a Smart-Building or smart building. Smart buildings require a form of system that can monitor the building in real time and efficiently. in this study designed a prototype form of a smart building system by adding a detector for the number of people using the ESP32cam camera sensor. The number of people object detection adapts the careful YOLOv3 Algorithm to 5 different lighting conditions, dimmed 50% and 75%, increased 50% and 75% and normal conditions. The results of this implementation show that the mAP value exceeds 90% in all of these lighting conditions. The YOLOv3 algorithm applied to the smart building prototype system has succeeded in detecting and counting the number of people objects in an image captured by the camera sensor. Keywords— Internet of Things; Object Detection; Smart Building; YOLO
Analisis Peramalan Penerimaan Negara Bukan Pajak Menggunakan Metode Grey-Markov Dan ANFIS
Every year, Udayana University publishes the Non-Tax State Revenue Target (TPNBP) as a guide for allocating budgetary funds for the T+2 year. The provision of budget allocations for the T+2 year will depend on how accurately the TPNBP is calculated, which will boost efficiency in carrying out budget planning. Due to the limits of the PNBP realization data at Udayana University and the benefits of the ANFIS approach for forecasting stationary data types, it is required to evaluate the merits of the Gray-Markov and ANFIS methods in order to determine which method is more effective. The study's findings reveal that the Grey-Markov approach yields a value of 0.118% while the ANFIS method yields a value of 4.978%. This suggests that while both methods produce extremely precise results, the Grey-Markov method is more accurate than the ANFIS method due to its smaller MAPE value. The MAPE value for the Grey-Markov approach for the SPI acceptance variable is 0.319%, whereas the MAPE value for the ANFIS method is 23.39%, indicating that the Grey-Markov method is more accurate at predicting SPI acceptance. Keywords : ANFIS; Grey-Markov; Forecasting; PNBP
Analisis Penerimaan Aplikasi Hadir Sebagai Media Absensi Pada PT. Baliyoni Saguna Menggunakan Technology Acceptance Model
The era of globalization brings changes to all aspects of humanity. The development of inforamation/technologys encourages people/touse the/technology/to be able to keeping up with time, use of online attendance system technology by PT. Baliyoni Saguna. Therefore, its necessary to analyze the aceptance/of informationitechnology to examine whether the attendance technology used is acceptable and what factors influence the acceptance. One method to assess the aceptanceiofthe information technology is/the Technnology/Aceptance Modelsp(TAM). In this/studys, an analysis/will be carrieded/out on the acceptance ofithe attendance system technology used by PT. Baliyoni Saguna using the TAM method. The research was conducted by taking questionnaire data containing clauses from the TAM method from 75 Baliyoni employees. From the test results, validation and reliability tests were carried out where all data could be said to be valid and very reliable. Testing the relationship between TAM variables shows that all data havea a/posiitive influences/on attendance where the value of the t-statistical test is > 0.2272 and is significant where the p-value of all test data is < 0.05. The indicator that has/a major influence on/the/acceptance/of this attendance system is perceiveds/ease of/use which has t-statistic of/38,221.
Pengendalian Sudut Pitch dan Roll Pesawat Flying Wing
Perkembangan dunia penerbangan beberapa tahun ini mengalami peningkatan yang, salah satunya bidang pesawat tanpa berawak atau unmanned aerial vehicle. Perkembangan tersebut seiring dengan meningkatnya penggunaan UAV diberbagai bidang, diantaranya yaitu untuk misi militer, misi pemantauan bencana alam, dan misi foto udara. Banyak jenis pesawat yang dapat digunakan untuk menyelesaikan misi-misi tersebut, salah satu jenis pesawat pesawat yang banyak digunakan adalah pesawat tipe flying wing. Pesawat dengan tipe ini bentuknya segitiga dan tidak memiliki ekor. Pengendali pesawat ini menggunakan elevon pada sisi kanan kiri sayapnya, dan bentuk nya relative kecil, sehingga pesawat ini rentan terhadap gangguan lingkungan dan menyebabkan kegagalan misi penerbangan. Untuk mengatasi masalah tersebut, maka diperlukan sebuah sistem kendali yang mampu membuat pesawat mempertahankan stabilitas terbang. Dalam penelitian ini diterapkan metode kendali Linier Quadratic Regulator untuk mengatasi hal tersebut. Metode kendali LQR digunakan untuk mengendalikan sudut pitch dan roll pada pesawat. Berdasarkan hasil pengujian, gangguan yang diberikan mampu diatasi dengan baik oleh pesawat. Terbukti ketika diberikan gangguan, pesawat mengalami overshoot sebesar 4,24º pada sudut pitch dan 4,26º pada sudut roll, namun dapat dengan cepat kembali ke setpoint dalam waktu 1,2 detik pada sudut pitch, dan 1,3 detik pada sudut roll. Dengan demikian pesawat mampu mempertahankan stabilitas terbangnya.
Implementasi Alat Terapi Metode Gelombang Frekuensi Audiosonik Berbasis Kontrol Arduino Dengan Monitoring Osciloskop
Abstract-The purpose of making this tool is to provide an alternative that can be used as a rehabilitation method for disease problems such as digestive, nervous and relaxation problems. In this present time, we need treatment facilities that can be done without face to face, to overcome these problems there is an audiosonic frequency type therapy device as an alternative in healing diseases in the field of rehabilitation. This therapy tool uses a frequency that can still be received by human hearing with a range of 20 – 20,000 Hz. How to use this therapy tool is to set the frequency you want to use and then listen to the sound produced by the therapy device. This therapy tool can be used while relaxing, reading or lying down and only takes 3 – 30 minutes. Keywords : therapy, audiosonic, sound, tool, disease, alternative
Analisis Tuning Parameter PID Menggunakan Algoritma Genetika pada Pengontrolan Kecepatan Motor DC
Abstract— The DC motors often experiences rotational speed instability due to disturbance. To overcome this, PID control can be applied to stabilize the speed. PID control is a combination of proportional, integral, and derivative controls. To achieve good performance, it is necessary to tune these parameters using several methods, such as genetic algorithm. The genetic algorithm works by forming a population of individuals that potentially can produce optimal solutions judged by the fitness value. Several parameters are used in genetic algorithms such as population size, number of generations, crossover probability, and mutation probability. This study aims to analyze the genetic algorithm method for tuning PID control parameters in controlling the rotational speed of the DC motor. The results obtained genetic algorithm parameters with population size and the number of generations of 70, crossover probability of 0.9, mutation probability of 0.4 and a fitness value of 6.261e+18. PID parameters with value of Kp = 9.4429; Ki = 19.3255 and Kd = 0.45602 and system response with rise time value of 0.1212 s, settling time of 0.2562 s, overshoot of 0.0366% and steady-state error of 0.1739%. With these PID parameters, the DC motor can follow the setpoint at constant and changing load values.
Rancang Bangun Sistem Irigasi pada Perkebunan Cabai Berbasis Arduino Uno dan Sprinkler
Red chili is one type of vegetable widely used by the people of Indonesia because it has a reasonably high selling value. One of the causes of soaring chili prices is when there is much demand, but the farmers' harvest is insufficient. This incident often occurs because harvests often fail due to the manual and uneven irrigation system. So chili farmers in highland areas that rarely rain must be assisted by a regular and automatic irrigation system. Therefore, this study aims to help chili farmers to water the red chili plants as needed with the help of a water pump. The designed water pump system supports a DC of 12 volts and a power of 18 watts. The strategy used for watering chilies is a bulk water system, which emits water to the plants so that watering distributes at all points of the red chili. Transmission water velocity is measured using a water flow sensor. Likewise with the soil moisture parameters using sensors which state that the soil conditions are PH > 2.0 (wet) and PH > 5.51- 7.00 (very humid). After the soil, the moisture value is read by Arduino Uno Atmega 2560, and the results will display on the LCD. Watering will adjust to the water needs based on the PH value obtained.
Sistem Pemantauan Kekeruhan dan Suhu Air pada Akuarium Ikan Hias Air Tawar Berbasis IoT (Internet of Things)
The aquarium monitoring system in the maintenance of ornamental fish is fundamental to maintaining the survival of the aquatic biota in it. In this study, a prototype of a water condition monitoring system such as turbidity and water temperature in freshwater ornamental fish aquariums was designed and integrated with IoT technology so that it could make it easier for ornamental fish owners to maintain freshwater ornamental fish remotely. In the prototype tool, there is a turbidity sensor SEN0189, a temperature sensor DS18B20, and an HC-SR04 sensor, which function to measure changes that occur in each parameter. Each sensor data will be processed by the Arduino Uno microcontroller, which is then sent to the NodeMCU ESP8266 (Wi-Fi module) via serial communication so that sensor data readings can be displayed on the Blynk application. As a result of the tests, the system can monitor the turbidity of the water and drain the water if the turbidity reaches >= 25 NTU and refill the aquarium with clean water. In addition, the system can also monitor and control the water temperature in the aquarium. The aquarium water temperature level is maintained in the range of 24°C – 28°C.
Analisis Perbandingan Produktivitas Material Budidaya Akuaponik Berbasis IoT (Internet of Things) dengan Budidaya Akuaponik Konvensional
Aquaponics is one of the methods of farming in urban areas that produces fish and vegetables at the same time. One aspect that can improve the quality of aquaponics products such as catfish and water spinach in a short period of time is the addition of Internet of Things (IoT) systems. This technology allows farmers to automate work and monitor aquaponics media remotely. Before applying this technology, it is necessary to analyze to what extent each aquaponics system improves the quality of fish and vegetables. The purpose of this study is to compare the productivity of materials needed to grow catfish and water spinach in IoT-based aquaponics and conventional aquaponics. The parameters studied to support the results of the analysis are fish weight and vegetable weight after 14 days. The results show that the weight of fish and vegetables produced by IoT aquaponics is heavier than that produced by conventional aquaponics, which leads to a higher number of production units. It makes the IoT aquaponics productivity percentage value greater with a productivity difference of 112%, which indicates that the IoT aquaponics system manages the required materials more efficiently in a short period of time.
AUDIT LAYANAN SISTEM INFORMASI KEPEGAWAIAN MENGGUNAKAN FRAMEWORK COBIT 5
SIMPEG – SIMAK DIHAT is Information System of Government Staff that developed by the Denpasar City Personnel and Human Resources Development Agency (BKPSDM) in supporting the implementation of e-government and Denpasar Smart City for the realization of good public services based on "Sewakadharma" as an innovation product. The COVID-19 pandemic has created several changes. Starting from budget efficiency, the Work From Home (WFH) transition, online training and education, have had a huge impact on the development of SIMPEG - SIMAK DIHATI which is a milestone in Denpasar City BKPSDM staffing services. COBIT 5 was chosen because it was considered to be able to describe what should be done in the future development of SIMPEG – SIMAK DIHATI. In addition, COBIT 5 also calculates the capability level value which represents the level of alignment of information technology goals and organizational business goals.
Perancangan RESTful API Menggunakan Java Quarkus Untuk Modul Mahasiswa Pada Layanan SIMAK-NG Universitas Udayana
Information systems are very important in today's technological era. The services or methods used to deliver information are always evolving to provide better services. SIMAK-NG Udayana University is an information system built by the Udayana University Resources and Information Unit (USDI) to provide convenience to users (academic operators, lecturers and students) in online academic administration activities, which is Integrated Information System, known as Integrated Management Information System the Strategic of Udayana (IMISSU). Previously built on a monolithic architecture, SIMAK-NG migrate the service architecture to microservices. Therefore, need to customize the program code by implementing a RESTful API that supports the performance of SIMAK-NG service. In this study, the design of a RESTful API model was made This can be used by other applications that require student data from the SIMAK service and access RESTful API services instead of accessing the database directly. API was built using the Java programming language, the Quarkus framework, and a database schema that matched the database at the SIMAK-NG service at Udayana University. The test was run locally and show that the RESTful API program's response results are as designed and work well as shown in the tests using the Postman script. this indicates that the designed API program is ready for implementation.
Simulasi Penggunaan Komponen Smart Building untuk Meningkatkan IKE di Gedung Rektorat Universitas Udayana
One of the important aspects in energy management is energy audit activities. he benefits of an energy audit include recommendations for actions to be taken to improve energy efficiency, reduce costs and save money on energy bills. This study aims to obtain information on the efficiency of the use of electrical energy in the rectorate building of Udayana University and how big the potential for saving electrical energy is through testing energy-saving equipment. The results of the measurement, observation and data collection of the load at the Udayana University rectorate, the total power and electrical energy consumption of the Udayana University Rectorate building are 120.12 kW and 15521.02 kWh, respectively. The biggest need for electricity supply is air conditioning, which is 61.5 kW with energy consumption of 62%. In general, the Rectorate building of Udayana University has an IKE value of 49.43 kWh/m2/year. The IKE value for the AC/non-AC building category is 4.12 kWh/m2/month (very efficient). Meanwhile, in terms of IKE per room, there is still a value below the efficient category because electrical equipment is still / left on when working hours are over, especially lights and air conditioners. The application of Smart Building equipment with the aim of efficient use of electrical energy shows a decrease in lighting electrical energy consumption by 161.25 kWh (31%) while for air conditioning by 143.86 kWh (11%).