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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.
Load Identification Using Harmonic Based on Probabilistic Neural Network Anggriawan, Dimas Okky; Amsyar, Aidin; Prasetyono, Eka; Wahjono, Endro; Sudiharto, Indhana; Tjahjono, Anang
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (529.473 KB) | DOI: 10.24003/emitter.v7i1.330

Abstract

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attention  in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
A Full-Bridge Bidirectional DC-DC Converter with Fuzzy Logic Voltage Control for Battery Energy Storage System Prasetyono, Eka; Sunarno, Epyk; Fuad, Muchamad Chaninul; Anggriawan, Dimas Okky; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.883 KB) | DOI: 10.24003/emitter.v7i1.333

Abstract

Renewable energy sources require an energy storage system because its are fluctuating and electricity producing at certain times, even sometimes not in accordance with the needs of the load. To maintain continuity of electricity, smart battery energy storage system is needed. Therefore, this paper of a full-bridge bidirectional DC-DC Converter (FB-BDC) with Fuzzy Logic Control (FLC) is designed and implemented for battery energy storage application. The FLC has error and delta error of voltage level as input and duty cycle of FB-BDC as output. The FB-BDC is controlled by a microcontroller ARM Cortex-M4F STM32F407VG for voltage mode control. The FB-BDC topology is selected becuase battery storage system needed isolated and need high voltage ratio both for step-up and step-down. The main purpose of FB-BDC to perform bidirectional energy transfer both of DC-Bus and battery. Moreover, FB-BDC controls the DC-Bus voltage according to referenced value. The power flow and voltage on DC-Bus is controlled by FLC with voltage mode control. The experiment result shows the ability of FLC  voltage mode control to control FB-BDC on regulate charging voltage with an error 1% and sharing voltage 1.5% form referenced value.
Series Arc Fault Breaker in Low Voltage Using Microcontroller Based on Fast Fourier Transform Anggriawan, Dimas Okky; Rheinanda, Audya Elisa; Khafidli, Muhammad Khanif; Prasetyono, Eka; Windarko, Novie Ayub
EMITTER International Journal of Engineering Technology Vol 9 No 2 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i2.615

Abstract

Series Arc Fault is one of the disturbances of arcing jump is caused by gas ionization between two ends of damaged conductors or broken wire forming a gap in the insulator. Series arc fault is the primary driver of electrical fire. However, lack of knowledge of the disturbance of series arc fault causes the problem of electrical fire not be mitigated. Magnitude current is not capable to detect of series arc fault. Therefore, this paper proposes fast fourier transform (FFT) to detect series AC arc fault in low voltage using microcontroller ARM STM32F7NGH in real time. A cheap and high speed of microcontroller ARM STM32F7NGH can be used for FFT computation to transform signal in time domain to frequency domain. Moreover, in this paper, protection of series AC arc fault is proposed in the real time mode. In this experimental process, some various experiments are tested to evaluate the reliability of FFT and protection with various load starts from 1 A, 2 A, 3 A, 4 A in resistive load. The result of this experiment shows that series AC arc fault protection with STM32F7 microcontroller and FFT algorithm can be utilized to ensure series AC arc fault properly.
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