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All Journal International Journal of Electrical and Computer Engineering Teknika: Jurnal Sains dan Teknologi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO JETT (Jurnal Elektro dan Telekomunikasi Terapan) JTT (Jurnal Teknologi Terpadu) JURNAL INTEGRASI Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JTERA (Jurnal Teknologi Rekayasa) INOVTEK POLBENG Techne : Jurnal Ilmiah Elektroteknika INTEK: Jurnal Penelitian IJITEE (International Journal of Information Technology and Electrical Engineering) Budimas : Jurnal Pengabdian Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Rekayasa elektrika Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Eka Prasetyono, Eka
Politeknik Elektronika Negeri Surabaya
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A Modified Maximum Power Point Tracking with Constant Power Generation Using Adaptive Neuro-Fuzzy Inference System Algorithm Sudiharto, Indhana; Prasetyono, Eka; Budikarso, Anang; Fitria Devi, Safira
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 3, August 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i3.1452

Abstract

Renewable energy is being used to lessen the consumption of fossil fuels. Solar energy is a common source of renewable energy. Solar energy is the most promising source of energy due to its long-term sustainability and availability. The output power of solar panels is strongly influenced by the intensity of sunlight and the temperature of the solar panels. Maximum Power Point Tracking (MPPT) control, which aims to optimize the output power of solar panels, is commonly used to increase the efficiency of solar panels. However, MPPT control often causes overvoltage disturbance in systems directly connected to the load. To limit the output power of solar panels, additional Constant Power Generation (CPG) control is required. In this research, a solar panel system will be created to supply submersible DC pumps without any energy storage devices. DC-DC SEPIC Converter is designed with MPPT control combined with CPG control to limit the output power of the converter using the Adaptive Neuro-Fuzzy Inference System method by 150 watts. When the output power of the solar panel is less than the power limit, then MPPT mode will work. While CPG mode works when the PV output power is greater than the limit power. The results of this research showed that the system can provide optimal power generated by solar panels in MPPT mode by increasing efficiency by up to 33.04% and CPG mode can limit power to 150 Watts to avoid overvoltage disturbance at load.
Identifikasi Gangguan Degradation Fault pada Photovoltaic Array berbasis Artificial Neural Network SUHARININGSIH, SUHARININGSIH; SUNARNO, EPYK; SALSABILA, MUTIARA NADHIFAH; ANGGRIAWAN, DIMAS OKKY; PRASETYONO, EKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 1: Published January 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i1.36

Abstract

ABSTRAKEnergi terbarukan sudah mulai mendominasi dunia sejak puluhan tahun lalu, terutama listrik tenaga surya. Pada setiap instalasi PV terdapat gangguan yang sering terjadi, salah satunya adalah degradation fault. degradation fault merupakan jenis gangguan berupa perubahan warna pada lapisan Ethylene Vinyl Acetate dari yang berwarna putih menjadi kuning hingga kecoklatan. Perubahan warna tersebut disebabkan oleh usia pemakaian dan suhu yang terlalu panas dan dapat menyebabkan penurunan arus yang sangat drastis. Kejadian ini mengakibatkan penurunan Isc mencapai 13%. Hal ini tidak baik jika terus dibiarkan pada instalasi solar panel. Oleh karena itu, pada jurnal ini akan membahas pengidentifikasian degradation fault pada array PV dengan Artificial Neural Network. ANN akan mengidentifikasi adanya penurunan arus pada PV array. Dari hasil yang didapatkan bahwa penurunan arus mencapai 12% dan dapat mengidentifkasi adanya degradation fault.Kata kunci: degradation fault, discoloration, Ethylene Vinyl Acetate , short circuit current, artificial neural network ABSTRACTRenewable energy has started to dominate the world since decades ago, especially solar electricity. In every PV installation there are disturbances that often occur, one of which is a degradation fault. Degradation fault is a type of disturbance in the form of discoloration of the Ethylene Vinyl Acetate layer from white to yellow to brownish. The discoloration is caused by age of use and temperatures that are too hot and can cause a very drastic decrease in current. This incident resulted in a decrease in Isc reaching 13%. This is not good if it continues to be left on solar panel installations. Therefore, this journal will discuss the identification of degradation faults in PV arrays with Artificial Neural Networks. ANN will identify a decrease in current in the PV array. From the results obtained that the decrease in current reaches 12% and can identify a degradation fault.Keywords: degradation fault, discoloration, Ethylene Vinyl Acetate , short circuit current, artificial neural network
Development of TCR-FC Reactive Power Compensation Device with Fuzzy Logic Control in Electric Power Networks Sunarno, Epyk; Prasetyono, Eka; Anggriawan, Dimas Okky; Nugroho, Mochamad Ari Bagus; Eviningsih, Rachma Prilian; Suhariningsih, Suhariningsih; Nugraha, Anggara Trisna; Anggara Trisna Nugraha
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 4 (2024): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v6i4.12

Abstract

Utilization of electrical loads in predominantly inductive single-phase low-voltage power grids, the quality of electrical power becomes poor due to reactive power consumption resulting in a lack of power factor resulting in power loss, voltage drop, and decreased service life of the power grids. equipment. The research on reactive power compensation using TCR-FC aims to make improvements in improving the power factor in single-phase low-voltage electrical networks so that they have flexible control, do not experience excess compensation, have fast dynamic responses, and are space-saving. And can monitor voltage, current, and phase difference parameters through sensor readings to process data mathematically. When using electrical loads, the reactive power value is larger and the power factor is low below 0.85, the system controls the ignition angle of the TRIAC so that the current flowing into the reactor can be controlled by the reactive absorption measure of the fixed capacitor. So, it can improve the power factor. Simulation results can increase the power factor that exceeds the average value of 0.9 by 0.9797 with an error of 0.0288%. Hardware test results can increase the average power factor to exceed 0.9 by 0.9758 with an error of 0.1373%. in conclusion, reactive power compensation devices that use thyristor-controlled reactors and fixed capacitors can be more efficient than capacitor banks.
Penerapan Kontinuitas PJU Berbasis Sistem Penyimpanan Energi Baterai di Kelurahan Keputih Kecamatan Sukolilo Surabaya Mahendra, Luki Septya; Prabowo, Gigih; Sudiharto, Indhana; Machmud Rifadil, Mochammad; Chusna Arif, Yahya; Agus Mahadi Putra, Putu; Zaenal Efendi, Mohammad; Sunarno, Epyk; Prasetyono, Eka; -, Suhariningsih; Nizar Habibi, Muhammad; Ari Bagus Nugroho, Mochamad
Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Vol 8, No 1 (2025): Jurnal Abdimas Berdaya
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jab.v8i1.1038

Abstract

Comparison of Buck and Synchronous Buck Converters for ANFIS-Controlled Li-Ion Fast Charging SUHARININGSIH, SUHARININGSIH; SUNARNO, EPYK; PRASETYONO, EKA; NUGROHO, MOCHAMAD ARI BAGUS; BAYHAQI, KHAFIDZ
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 3: Published July 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i3.228

Abstract

The research discusses the implementation of a fast charging system on Lithium-Ion batteries by comparing the performance of conventional Buck Converters and Synchronous Buck Converters. Charging is carried out using constant current (CC) and constant voltage (CV) methods with set points of 4A and 16.8V as the targets used, and is equipped with sensors to monitor voltage and current during the charging process. The system is controlled by the Adaptive Neuro Fuzzy Inference System (ANFIS) which is useful for maintaining charging stability at one battery specification with a full capacity of 4.2V voltage and 4A current. Test results show that ANFIS is able to maintain filling parameters within safe limits. In addition, the Synchronous Buck Converter provides better efficiency than conventional Buck Converters in terms of efficiency and controlling voltage fluctuations, so it is more optimal for use in Lithium-Ion battery fast charging systems.
Inrush Current Based on Fast Fourier Transform Zamzami, Mochamad Ilham; Prasetyono, Eka; Anggriawan, Dimas Okky; Yuliana, Mike
INTEK: Jurnal Penelitian Vol 8 No 2 (2021): October 2021
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v8i2.2940

Abstract

Advances in technology have caused the use of electricity to increase rapidly. With advances in technology, this is followed by the use of increasingly efficient electrical components or equipment. This more efficient electrical equipment causes the impedance of the component to be smaller, causing a surge in current when it is turned on. This current surge, if not followed by appropriate safety precautions, will be damage other components. Each load has different waveform characteristics and current transient peaks. For this reason, it is necessary to analyze the transient condition of a load to overcome this. This paper will explain the characteristics of the inrush current of the load due to ignition. There are three loads used in this study, namely resistive, capacitive and inductive loads. Then the use of this load is simulated by giving different ignition angle values, namely 0, 60, and 90 degrees. The analysis used is the Fast Fourier Transform (FFT) method which is a derivative of the Discrete Fourier Transform. The inrush current spectrum in this simulation is simulated using Simulink MATLAB with switching system modeling using TRIAC. This inrush current simulation data collection uses a sampling frequency of 100 Khz and will be analyzed in the first of 5 cycles. For each load in this paper, the harmonic values for each ignition angle will be presented. The simulation results show that the inrush current is caused by the ignition angle value used and because of components that can deviate energy such as inductors and capacitors as well as components which at the time of starting have a low impedance value such as incandescent lamps. The simulation also shows that the use of switching components for setting the ignition angle causes an increase in the value of Total Harmonic Distortion (THD) but the peak current in the first cycle when the ignition angle is set decreases.
Real-Time Detection of Power Quality Disturbance Using Fast Fourier Transform and Adaptive Neuro-Fuzzy Inference System Syahrin, Ahmad Alvi; Anggriawan, Dimas Okky; Prasetyono, Eka; Sunarno, Epyk; Wahjono, Endro; Sudiharto, Indhana; Suhariningsih, Suhariningsih
Jurnal Rekayasa Elektrika Vol 20, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i1.33695

Abstract

Power quality disturbances cause equipment damage or financial losses. Therefore, the electric power system needs to identify and distinguish any power quality disturbances to reduce problems. This paper proposes hybrid methods combining FFT and ANFIS algorithm for detection of power quality disturbances. There are 11 types of power quality disturbances that can be detected, such as sag, swell, undervoltage, overvoltage, voltage flicker, voltage harmonic, sag + harmonic, swell + harmonic, undervoltage + harmonic, overvoltage + harmonic, and flicker + harmonic. The parameters used to detect disturbances are Vrms, Duration, THDv (Total Harmonic Distortion voltage), and Fluctuation-Count. The detection process starts by sensing voltage and calculating all the parameters, where THDv was obtained by Fast Fourier Transform. All the parameters such as Vrms, Duration, THDv, and Fluctuation-Count are processed by Adaptive Neuro-Fuzzy Inference System, and the result is the type of disturbance. Matlab simulations show that the suggested method performs outstandingly to identify 11 type of Power Quality Disturbances with 99.3% accuracy.
Rancang Bangun 3 Phase Energy Meter Untuk Analisis Kualitas Daya Di Industri Wahyudi, Sri; Prasetyono, Eka; Anggriawan, Dimas Okky; Yuliana, Mike; Budikarso, Anang
JURNAL INTEGRASI Vol. 15 No. 1 (2023): Jurnal Integrasi - April 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i1.3244

Abstract

The quality of electric power is one of the most important things in the industrial world, with good power quality, industrial efficiency will also increase which will result in savings in production costs. Energy consumption must also be monitored in such a way for the purposes of analyzing electrical energy efficiency. Therefore, the author designed a tool called a 3 phase energy meter that can monitor energy consumption and power quality for industry with a 3 phase electrical system. The 3 phase energy meter is equipped with an IoT system so that the observation of the measurement results of every electrical machine system in the industry can be done at one point without having to go to the location. The hope is that with the 3 phase energy meter, it can improve production efficiency through power quality analysis.
Co-Authors Achmad Luki Satriawan Aditya Ilham Pradana Ahmad Alvi Syahrin Ahmad Firyal Adila Aidin Amsyar Akhmad Puryanto Alwi Daffa` Rosydi Amsyar, Aidin Anang Budikarso Anang Budikarso, Anang Anang Tjahjono, Anang Anggara Trisna Nugraha Arman Jaya Ashary, Wima Audya Elisa Rheinanda Bambang Sumantri BAYHAQI, KHAFIDZ Diah Septi Y. Diah Septi Yanaratri Diah Septi Yanaratri Dimas Okky Dimas Okky Anggriawan Endro Wahjono Endro Wahjono, Endro Epyk Sunarno Era Purwanto Evi Nafiatus Sholikhah Farid Dwi Murdianto Febi Ariefka Septian Putra Ferdiansyah, Indra Firdaus, Aji Akbar Fitria Devi, Safira Fuad, Muchamad Chaninul Gigih Prabowo Gilang Andaru Trinandana Habibi, Muhammad Nizar Hazlie Mokhlis Hendik Eko H Suharyanto Ilman, Sofyan M. Imam Dui Agusalim Indhana Sudiharto Irianto Irianto Lucky Pradigta Lucky Pradigta S.R. Luki Septya Mahendra Luluk Badriyah M Chaninul Fuad Mike Yuliana MOCHAMAD ARI BAGUS NUGROHO Moh. Zaenal Efendi Mohammad Zaenal Efendi Mokhamad Firdaus Karyapraja Mokhamad Zuhal Muflih Muchamad Chaninul Fuad Muhammad Fauzi Muhammad Khanif Khafidli Muhammad Miftahuddin Nancy Rahayu Nizar Habibi, Muhammad Novie Ayub Windarko Nugroho, Syechu Dwitya Pradana, Aditya Ilham Pradigta S.R., Lucky Putu Agus Mahadi Putra Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Ragil Wigas Wicaksana Rifadil, Mochammad Machmud Rizky Fatur Rochman Rusli, Muhammad Rizani SALSABILA, MUTIARA NADHIFAH Septi Y., Diah Suhariningsih Suhariningsih Suhariningsih sutedjo Sutedjo Sutedjo Sutedjo Syahrin, Ahmad Alvi Syechu Dwitya Nugraha Syechu Dwitya Nugroho Wahyudi, Sri Wicaksana, Ragil Wigas Wima Ashary Yahya Chusna Arif Zaenal Efendi, Mohammad Zamzami, Mochamad Ilham