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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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Manajemen dan Pemantauan Energi Motor BLDC pada Mobil Listrik Berbasis IoT Aditya Ilham Pradana; Eka Prasetyono; Ony Asrarul Qudsi; Era Purwanto; Sutedjo Sutedjo; Syechu Dwitya Nugroho; Lucky Pradigta S.R.; Diah Septi Y.
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 4: November 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1103.969 KB)

Abstract

This paper presents a system design as a management and monitoring of energy consumption in BLDC motors that are applied to electric vehicle. Energy consumption settings are applied using the Pulse Amplitude Modulation principle by adjusting the input voltage on a BLDC motor. This setting uses a DC-DC converter with Buck Converter topology. This converter is designed with a maximum current capability of 20 A and an output voltage that varies from a range of 24 V - 56 V. To ensure the output voltage is always on the set point, the duty cycle of Buck Converter is set using proportional controls. The regulated energy consumption is monitored with modern technology, namely by using low energy components and with the IoT Devices principle. Based on the results obtained, this method can reduce energy consumption up to 36%, as well as monitoring stable energy consumption at reading sensor.
Implementation of Fast Fourier Transform and Artificial Neural Network in Series Arc Fault Identification and Protection System on DC Bus Microgrid Dimas Okky Anggriawan; Epyk Sunarno; Eka Prasetyono; Suhariningsih Suhariningsih; Muhammad Fauzi
Jurnal Teknologi Terpadu Vol 11, No 2 (2023): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v11i2.1869

Abstract

A microgrid is a cluster of electrical sources and loads that are interconnected and synchronized. Microgrid operation is typically divided into two modes, isolated or connected to the grid with a single or standalone control system. In this context, it can enhance the reliability and quality of electricity supply for connected customers. When using a microgrid system, it is important to consider the risk of series arc faults. Series arc faults are sudden bursts of flames resulting from ionization of gas between two electrode gaps. These faults can occur due to manufacturing defects, installation Errors, aging, or corrosion on conductor rods, leading to imperfect connections. Detecting series arc faults in DC microgrid system operations can be challenging using standard protective devices. Failure in the protection system can pose risks of fire, electrical shock hazards, and power loss in the DC microgrid.Therefore, a device has been designed to detect series arc faults by utilizing the fast Fourier transform method and artificial neural network, which function to analyze DC signal and make decisions when faults occur by examining the average sum of current frequency values during normal and fault conditions. In this study, the average sum of current frequency values during normal conditions was found to range from 0.35437 to 0.36906 A, while during fault conditions, it ranged from 0.21450 to 0.22793 A, with an average protection identification time of 1087 ms and an ANN output accuracy of 99.98%.
Implementasi Fuzzy Logic Untuk Identifikasi Jenis Gangguan Tegangan Secara Realtime Ahmad Alvi Syahrin; Dimas Okky Anggriawan; Eka Prasetyono
Jurnal Rekayasa Elektrika Vol 16, No 3 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i3.17692

Abstract

In the modern era, AC voltage variations are still often a problem. This variation causes power quality decrease even damage the equipment. Voltage variations that often occur are short and long duration. The variation consist of 6 types namely Interruption, Sag, Swell, Sustained-Interruption, Undervoltage, Overvoltage. To facilitate repairs when there is a voltage variation in the electric power system, it is necessary to have an identification that can detect and distinguish any interference that occurs. Therefore, this paper proposes a fuzzy logic method for identifying types of voltage variations. This type of voltage variation identifier requires a disturbance simulator as a voltage source with varying values. To distinguish between short duration and long duration disturbances, is the time duration of the disturbance appears. The design of the voltage variation identification algorithm uses the sugeno fuzzy inference system with 2 inputs namely magnitude vrms and timer, and 1 output is the type of voltage interference. Moreover, prototype design using AMC1200 voltage sensor, microcontroller, and display. To validate the proposed algorithm, compared with standard measuring tools and simulations. Results show that the proposed algorithm has a very good performance with an accuration compared to the standard measuring instrument of 99.8%.
Parallel Balancing Battery using Adaptive Power Sharing and ANN SOC Estimator Mokhamad Zuhal Muflih; Gilang Andaru Trinandana; Eka Prasetyono; Dimas Okky Anggriawan
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i3.20671

Abstract

The battery balancing method is commonly used in cell circuits and battery circuits to maintain the power continuity on the DC Bus. The power continuity on the DC Bus is guaranteed if the load continues to get a power source, even if either the battery or power supply malfunctions. Besides, the battery balancing method is also used to protect the battery from excessive charging current pliers flowing into the battery. Therefore, the State-of-Charge (SoC) should be concern in balancing the maintained battery condition on both systems and avoiding overcharging. Artificial Neural Network (ANN) is used in this paper to determine the value of battery SoC. Based on simulations using MATLAB 2018, SoC values with ANN showed accurate results with error values below 0.1%. Based on the simulation results, the two batteries, which are arranged to have a difference of SoC value of 0.3%, will achieve a balanced SoC value for 28.45 seconds from the simulation.
Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time Endro Wahjono; Dimas Okky Anggriawan; Achmad Luki Satriawan; Aji Akbar Firdaus; Eka Prasetyono; Indhana Sudiharto; Anang Tjahjono; Anang Budikarso
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.15093

Abstract

The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.
Sistem Penyimpanan Energi Listrik Panel Surya untuk PJU dan Edukasi Masyarakat Desa Kembangbelor Luki Septya Mahendra; Indhana Sudiharto; Eka Prasetyono; Diah Septi Yanaratri; Rachma Prilian Eviningsih; Arman Jaya; Epyk Sunarno; Hendik Eko H Suharyanto; Muhammad Nizar Habibi; Muhammad Rizani Rusli; Ahmad Firyal Adila; Imam Dui Agusalim
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 5, No 2 (2023): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v5i2.10967

Abstract

Pembangunan kepariwisataan dikembangkan dengan pendekatan pertumbuhan, pemerataan ekonomi untuk kesejahteraan rakyat dan pembangunan yang berorientasi pada pengembangan wilayah, yang bertumpu kepada masyarakat dan bersifat memberdayakan masyarakat yang mencakupi berbagai aspek, seperti sumber daya manusia, pemasaran, destinasi, ilmu pengetahuan dan teknologi. Pada pengabdian ini melakukan pengambangan pariwisata pada aspek destinasi, ilmu pengetahuan dan teknologi. Dimana destinasi atau lokasi pada pengabdian di Dusun Paras, Desa Kembangbelor, Pacet, Mojokerto, Jawa Timur yang merupakan desa wisata edukasi. Desa ini memiliki program-program desa yang ingin mengembangkan pariwisata di aspek ilmu pengetahuan dan teknologi, maka digandenglah mitra Desa Kembangbelor khususnya Dusun Paras. Pembangunan sistem Pembangkit Listrik Tenaga Surya (PLTS) beserta penyimpanan energinya untuk dimanfaatkan sebagai penerangan jalan umum (PJU) dinilai cocok sebagai pengembangan pariwisata desa dalam aspek ilmu pengetahuan dan teknologi. Karena disisi lain mendapatkan kedua aspek tersebut, hal ini juga mendapatkan pemanfaatan energi terbarukannya untuk PJU jalan masuk desa yang belum ada penerangannya. Dengan adanya sistem yang dipasang masyarakat mendapat pemanfaatan energi PLTS untuk PJU dan tempat untuk belajar untuk wisata edukasi berupa ilmu pengetahuan dan teknologi mengenai energi terbarukan PLTS.
Desain dan Implementasi Bidirectional DC-DC Converter Untuk Penerangan Darurat Nancy Rahayu; Irianto Irianto; Eka Prasetyono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 7 No 2 (2020): Jurnal Ecotipe, Oktober 2020
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v7i2.1883

Abstract

The lighting system is one of the biggest uses of electrical energy. Currently, lighting systems, especially emergency lighting, are urgently needed to deal with sudden blackouts at night. The emergency lighting gets a source of electrical energy from the battery and the battery gets a source of electrical energy from PLN. To regulate the source of electrical energy, a DC-DC converter with a bidirectional method is used. The bidirectional converter is a converter that has 2 functions, namely buck mode and boost mode which works when the main source of PLN goes out, automatically the lighting system will be supplied by the battery as a backup source. The buck mode in the charging process is used to store electrical energy into a battery with a battery capacity of 12V 30Ah. While the boost mode in the discharging process is used to distribute electrical energy from the battery to the load with a lamp load of 10W. The charging and discharging processes are controlled using proportional integral control analytic methods. The charging process in buck mode with a Kp value of 8.62 and Ki of 17240, the output voltage value is 13.99V. While the discharging process in boost mode with a Kp value of 2.44 and Ki of 344.63, the output voltage value is 23.99V.
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.
Co-Authors Achmad Luki Satriawan Aditya Ilham Pradana Ahmad Alvi Syahrin Ahmad Firyal Adila Akhmad Puryanto Alwi Daffa` Rosydi Amsyar, Aidin Amsyar, Aidin Anang Budikarso Anang Budikarso, Anang Anang Tjahjono, Anang Anggara Trisna Nugraha Arman Jaya Ashary, Wima 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 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 Khafidli, Muhammad Khanif 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 Muhammad Fauzi 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 Rheinanda, Audya Elisa 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