ELKHA : Jurnal Teknik Elektro
The ELKHA publishes high-quality scientific journals related to Electrical and Computer Engineering and is associated with FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia / Indonesian Electrical Engineering Higher Education Forum). The scope of this journal covers the theory development, design and applications on Automatic Control, Electronics, Power and Energy Systems, Telecommunication, Informatics, and Industrial Engineering.
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<![CDATA[Digital Administration Acceptance for Mountain Climbers in Mount Merbabu National Park ]]>
<![CDATA[Mochtar, Achmad Wahyu]]>;
<![CDATA[Nugroho, Rino Ardhian]]>;
<![CDATA[Hanifah, Roisa Nur]]>;
<![CDATA[Prakoso, Septyanto Galan]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.90063
<![CDATA[Adoption of e-government is one of the government's ongoing efforts to improve the standard of public services. Mount Merbabu National Park (BTNGMb) established an online climbing registration system and assessed the carrying capacity of the area. This is also an effort to protect natural areas for conservation. Users continue to voice complaints about the system. Therefore, the goal of this study is to determine the factors influencing the frequency of usage of the online climbing registration system available from the Mount Merbabu National Park Office. The analytical tool was the Unified Model of Electronic Government Adoption (UMEGA). In this study, associative quantitative methods and convenience sampling are employed. The questionnaire was given to one hundred participants, each of whom was registered and led a climbing group. The acquired data was evaluated using the partial least squares structural equation modeling (PLS-SEM) technique using the SmartPLS 4.1.0.3 application. The results show that the UMEGA model can predict the interest of 73.5% of respondents in using BTNGMb's online climbing registration system, while factors outside the scope of this study affect the remaining respondents. The five UMEGA variables—user attitudes, societal influence, business expectations, performance expectations, and facility circumstances—have a favorable effect on interest in using BTNGMb's online registration system. Perceived risk has little effect on enthusiasm in using BTNGMb's online climbing registration system in the interim. These findings can be used, particularly for the Mount Merbabu National Park Office, as evaluation material and input while developing an online climbing registration system.]]>
<![CDATA[Analysis of Power Transformer Insulation Resistance Using the Applied Voltage test Method ]]>
<![CDATA[Feri, Mohammad]]>;
<![CDATA[Jamaaluddin, Jamaaluddin]]>;
<![CDATA[Ayuni, Shazana Dhiya]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.90883
<![CDATA[This study investigates insulation resistance failures in newly manufactured power transformers at PT XYZ, focusing on the application of Applied Voltage Test as the main method to detect potential insulation failures. Different from previous studies that focus more on transformers that have been in operation for a long time, this study identifies that insulation failure in new transformers can be caused by production factors, such as insulation paper degradation due to exposure to temperature and humidity during the manufacturing process. The research was conducted through direct observation, structured interviews with testing technicians, and comparative analysis of two transformer units. The test results showed significant differences between the two units, where Transformer Unit 2 failed the test due to insulation paper degradation, which was confirmed through physical inspection. This study emphasizes the importance of Applied Voltage Test in identifying insulation defects at an early stage and shows that the quality of materials and production processes greatly affect the reliability of transformers. The findings make new contributions to understanding the causes of insulation failures in new transformers, as well as provide practical recommendations for optimization of test methods and improvement of production quality, thereby minimizing the risk of insulation failures in new transformers. Furthermore, this research highlights the significance of early detection through Polarization Index testing, which can serve as an indicator of insulation degradation. These insights are crucial for improving quality control in transformer manufacturing and ensuring the reliability of power distribution systems.]]>
<![CDATA[Hybrid ANN-PSO Based MPPT Optimization for Enhanced Solar Panel Efficiency ]]>
<![CDATA[Hamzah, Muhammad ilham hasby]]>;
<![CDATA[Aprillia, Happy]]>;
<![CDATA[Giyantara, Andhika]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.88711
<![CDATA[In some cases of Solar Power Generation System (PLTS) optimization, AI algorithms can be used to solve complex problems such as efficiency problems. In this research, a hybrid approach that combines Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) algorithms is used to optimize the Maximum Power Point Tracking (MPPT) system for solar panels. The hybrid technique seeks to maximize power output by precisely determining the ideal voltage and current points, which will increase the efficiency of solar panels. This study includes the measurement of parameters such as current (I), voltage (V), and power (W) in the MPPT system. The research shows that the hybrid ANN-PSO approach performs better than the traditional ANN method, producing mean squared error (MSE) and root mean squared error (RMSE) values that are lower. Moreover, research results show that the hybrid system maintains a load efficiency of approximately 51% in real-world measurements and about 67% in simulation data, indicating better performance and implementation ease.]]>
<![CDATA[MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm ]]>
<![CDATA[Aripriharta, Aripriharta]]>;
<![CDATA[Syabani, Muhiban]]>;
<![CDATA[Sendari, Siti]]>;
<![CDATA[Wibawa, Aji Prasetya]]>;
<![CDATA[Susilo, Suhiro Wongso]]>;
<![CDATA[Bagaskoro, Muhammad Cahyo]]>;
<![CDATA[Rosmin, Norzanah]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.91643
<![CDATA[Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy. However, PV efficiency is affected by environmental factors such as fluctuating solar irradiance and temperature, which cause instability in output voltage and power. To address these issues, Maximum Power Point Tracking (MPPT) techniques are applied to optimize power extraction. This study proposes the Grey Wolf Optimization (GWO) algorithm for MPPT and evaluates its performance through MATLAB/SIMULINK simulations under varying irradiance and temperature conditions. Inspired by the hunting behavior and social hierarchy of grey wolves, GWO dynamically adjusts the converter's duty cycle based on real-time voltage and current measurements to maximize output power. The study focuses on PV systems in Malang, Indonesia, and compares GWO with the Particle Swarm Optimization (PSO) method in terms of accuracy and stability. The results indicate that increased solar irradiance substantially enhances PV power output, while rising temperatures tend to reduce efficiency. The GWO algorithm achieves an average tracking accuracy of 94.5632%, slightly lower than the 96.9851% achieved by PSO. However, GWO demonstrates superior performance in terms of stability, with faster convergence and reduced oscillations during the tracking process. A comparison of system performance before and after applying the GWO method shows notable improvements in tracking consistency and power extraction efficiency, especially under dynamic environmental changes. The novelty of this study lies in its use of real-world environmental data collected over a 30-day period in a tropical setting, which is rarely addressed in previous GWO-based MPPT research. These findings highlight the potential of the GWO-based MPPT strategy to enhance PV system reliability and efficiency in real-time renewable energy applications.]]>
<![CDATA[Analysis of Wind Energy Potential On Nusa Penida Island Using The Weibull Distribution: Evaluation of Power Density and Intermittency ]]>
<![CDATA[Herlambang, Amanda Austin]]>;
<![CDATA[Dewi Wirastuti, Ni Made Ary Esta]]>;
<![CDATA[Manuaba, Ida Bagus Gede]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.87857
<![CDATA[Nusa Penida Island faces increasing energy demands driven by tourism and development, highlighting the need for sustainable energy solutions. While previous wind studies in Indonesia have primarily focused on larger islands, this research evaluates Nusa Penida’s wind energy potential using the Weibull distribution method for power density and intermittency analysis. Unlike prior studies, this research incorporates seasonal variations and probabilistic modeling to provide a more accurate assessment of wind intermittency. Statistical analysis of 2019–2020 wind speed data from NASA Power reveals stable wind conditions, with an average power density of 104 W/m², making it suitable for medium scale wind energy projects. Peak wind speeds occur mid year, optimizing conditions for energy harvesting, while intermittency analysis indicates that wind speeds fall below 3 m/s approximately 30% of the time, emphasizing the need for energy storage or hybrid systems. This research quantifies the impact of intermittency on energy planning, offering a data driven approach to support Indonesia’s renewable energy diversification and reduce reliance on fossil fuels. The findings establish Nusa Penida’s feasibility for wind energy deployment, contributing to enhanced energy resilience in remote island communities.]]>
<![CDATA[Fuzzy Logic Optimization to Control Air Conditioner (AC) Conditions using Rule-Based Algorithm ]]>
<![CDATA[Khalif, Mhd. Idham]]>;
<![CDATA[Muis, Abdul]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.80613
<![CDATA[To use an Air Conditioner (AC) unit, a remote control is needed to operate it. Currently, the built-in remote of the AC unit is still operated manually by the user. This study will build and develop an AC condition control device that is different from the built-in remote of the AC unit, where the AC condition control device that is built can control the AC condition automatically and without human intervention, by implementing the fuzzy logic algorithm and Rule-based algorithm. Similar studies have been conducted but are still limited to simulations, not yet implemented on real devices. The results obtained in this study are fuzzy logic control that is optimized using the rule-based algorithm and tested with different control times (sampling periods), namely 5 seconds and 10 minutes, using the outdoor temperature as a threshold obtained from OpenWeather data. From the experimental results, the average control error if only using fuzzy logic is 1.4% for a control time of 10 seconds and 1.37% for a control time of 10 minutes. When fuzzy logic is optimized using a rule-based algorithm, the average error is reduced to 0.81% for a control time of 10 seconds and 0.32% for a control time of 10 minutes. These findings indicate that integrating a rule-based algorithm with fuzzy logic control significantly improves the accuracy of temperature regulation in an AC system. By reducing the margin of error, this optimized approach not only improves energy efficiency but also minimizes power consumption in the long run.]]>
<![CDATA[Harmonic Distortion Analysis Of On-grid Photovoltaic Panel Integration In Load Sharing Scheme ]]>
<![CDATA[Santoso, Satria Adji]]>;
<![CDATA[Ulinuha, Agus]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.91311
<![CDATA[Harmonic analysis is crucial to maintain the system power quality, especially in photovoltaic panels with load sharing scheme. Previous studies have discussed the impact of harmonic distortion on electric power systems in general, but there is still limited discussion on on-grid photovoltaic panel systems without the load-sharing scheme. Harmonic is a distortion phenomenon of current and voltage that is higher than fundamental frequency. The consumption of nonlinear loads contributes to the rising of harmonic distortion that has a bad impact on the system's power quality. This study aims to analyze and compare the levels of harmonic distortion on on-grid photovoltaic panels with a load-sharing scheme and evaluate the suitability with the IEEE 519-2014 standard. The result of this study shows that the Total Harmonic Distortion (THD) on the current (THDi) in PLN’s load and network exceeds the limit that is stipulated in IEEE 519-2014. THD current in PLN’s loads and network is higher than the output current from the on-grid inverter because of the consumption of the nonlinear load. Meanwhile, Total Harmonic Distortion (THD) on the voltage (THDv) in the on-grid inverter, electric network, and load tends to be lower and still within the safe limit. This study is expected to support the implementation of an effective preventive strategy to reduce harmonic distortion on the performance of on-grid photovoltaic panels that will be optimum in the load-sharing scheme.]]>
<![CDATA[Analysis of Potential Fire Due to Short Current in Semi-permanent Buildings at Tinumbu Street in Aisle 148-149 Makassar City ]]>
<![CDATA[Rahmania, Rahmania]]>;
<![CDATA[Adriani, Adriani]]>;
<![CDATA[Rohana, Rohana]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.84748
<![CDATA[Fires can occur if several other factors are met heat sources, flammable materials and oxygen. The biggest potential cause of fires in buildings is electricity. This research aims to prove whether electrical short circuits trigger fires in residential homes or semi-permanent buildings, especially in electrical installation equipment. This type of research is quantitative using experimental methods, which are descriptive analysis to determine the effect of a particular treatment on other treatments under controlled conditions, to find out for sure the main cause of the fire. This research show that the mothers' knowledge is quite limited regarding the use of household electricity and the tools used are old enough to cause short circuits. This is also triggered by the use of electrical installations that do not meet PUIL 2000 and SNI standards. Researchers need to provide education to residents, especially housewives, about the effectiveness of using electricity at different times of the day. An explanation of the load distribution system for electrical devices is a top priority in this education. In this education, various forms of explanation and direction are provided regarding the importance of saving energy during peak hours and the importance of knowing the use of energy-saving products (LED lights). With the program to use environmentally friendly and energy efficient household electricity, mothers' understanding of the concept of environmentally friendly PLN will be more developed and more efficient in terms of welfare and family comfort from various environmental threats due to electricity disturbances.]]>
<![CDATA[State of Charge Estimation on Lithium-Ion Batteries Using Particle Swarm Optimization Method ]]>
<![CDATA[Dewanto, Muhammad Ridho]]>;
<![CDATA[Saputra, Riza Hadi]]>;
<![CDATA[Sugiarto, Kharis]]>;
<![CDATA[Saputra, Agung Adi]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.90020
<![CDATA[Lithium-ion battery management is crucial as their use grows in devices and electric vehicles. A key aspect is State of Charge (SoC) estimation, which indicates the battery's charge level at any given time. This research aims to develop a method that can provide accurate SoC estimates for Li-ion batteries using the Particle Swarm Optimization (PSO) method. In this research, a 12V 8.4 Ah Lithium-Ion battery was used as a test subject, utilizing a voltage sensor, ACS712 sensor, and LM35 temperature sensor to measure key parameters such as voltage, current, and temperature. The PSO approach was chosen because of its ability to find optimal solutions in complex search spaces, such as SoC estimation in batteries. Through a combination of the PSO algorithm and data generated from sensors, it is hoped that the SoC estimates produced can improve battery usage efficiency, extend service life, and increase the performance of systems that depend on batteries. PSO can provide more accurate predictions with smaller errors, both in terms of the RMSE value of 0.0391 and the MAPE value of 12.028%. The high accuracy of 87.972% of PSO also shows that this method is reliable for applications that require precise SoC predictions. It is hoped that the results of this research can become a basis for further research in the field of battery management and metaheuristic algorithm optimization. After all, this research aims to enhance battery management systems and deepen understanding of PSO-based SoC estimation.]]>
<![CDATA[Analysis of 3 kW Solar Power Plant Production Optimization by Improving Energy Production Efficiency Using 3d Pvsyst Simulation Method ]]>
<![CDATA[Fiqri, Teguh Mohammad]]>;
<![CDATA[Yacoub, Redi Ratiandi]]>;
<![CDATA[Kurnianto, Rudi]]>;
<![CDATA[Rusman, Rusman]]>;
<![CDATA[Hasan, Hasan]]>
<![CDATA[ ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025 ]]>
Publisher : <![CDATA[Faculty of Engineering, Universitas Tanjungpura ]]>
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DOI: 10.26418/elkha.v17i1.89864
<![CDATA[This study aims to analyze the effect of optimizing the position of solar panels on improving energy production efficiency in a 3 kW solar power plant (PLTS) system. The 3D PVsyst simulation method was used to model the system and predict performance before and after optimization. Simulation results indicate that repositioning the solar panels can increase energy production by 2% (from 0.99 kWh to 1.01 kWh). A comparison between simulation results and actual data shows reasonably good agreement, although some differences require further investigation. Discrepancies between simulation and actual data may be attributed to several factors, such as weather conditions, component efficiency, and other environmental factors. This study concludes that optimizing the position of solar panels is an effective step to enhance the performance of PLTS systems. However, further research is needed to consider additional factors affecting system performance and to develop more accurate simulation models]]>
