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All Journal Jurnal Teknik Elektro Jurnal Teknologi dan Manajemen Informatika e-Jurnal Arus Elektro Indonesia ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JTT (Jurnal Teknologi Terpadu) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INTEK: Jurnal Penelitian Budimas : Jurnal Pengabdian Masyarakat Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Rekayasa elektrika Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Mein: Journal of Mechanical, Electrical & Industrial Technology Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Epyk Sunarno
Politeknik Elektronika Negeri Surabaya
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Desain dan Komparasi Kontrol Kecepatan Motor DC Safah Tasya Aprilyani; Irianto Irianto; Epyk Sunarno
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.v7i2.1886

Abstract

Penggunaan kontrol sangat diperlukan dalam pengaturan kecepatan motor DC. Dalam pengaturan kecepatan motor DC, salah satu jenis kontrol yang digunakan adalah kontrol Proportional Integral (PI). Untuk 4 jenis metode pada kontrol PI yang digunakan adalah metode Ziegler Nichole, Chien Servo 1, Chien Regulator 1 dan perhitungan secara analitik yang telah diperoleh dari data yang sudah ada. Namun kontrol dengan PI 4 metode yang digunakan sebagai pembanding memiliki waktu respon kecepatan saat stabil cenderung lambat baik dari nilai settling time, rise time dan steady state. Maka dari itu dilakukan komparasi antara 4 metode kontrol PI dengan penggunaan kontrol fuzzy. Dalam membandingkan antara 4 metode kontrol PI dan kontrol fuzzy terdapat beberapa parameter sebagai perbandingan yaitu maximum overshoot, steady state, rise time dan settling time. Hasil dari perbandingan tersebut adalah kontrol fuzzy dapat menghasilkan performa lebih baik jika dibandingkan dengan 4 metode pada kontrol PI. Kontrol fuzzy memiliki nilai rise time sebesar 0,015 detik, nilai settling time sebesar 0,025 detik dengan kecepatan sebesar 2900 rpm serta error steady state sebesar 3,33% tanpa adanya overshoot dan osilasi.
Design and Simulation of Buck Converter With Fuzzy Logic Control for Battery Charging Azizah Istiqomah Yustikasari; Epyk Sunarno; Putu Agus Mahadi Putra
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 8 No 2 (2021): Jurnal Ecotipe, Oktober 2021
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v8i2.2389

Abstract

Design MPPT with Anfis Method on Zeta Converter with DC Load Sunarno, Epyk; Sudiharto, Indhana; Yolanita, Dian
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 1, February 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i1.1629

Abstract

Maximum power point tracking (MPPT) for PV (Photovoltaic) systems is provided in this research using artificial intelligence-based control. The design of MPPT system with Anfis Method on the Zeta Converter with DC Load is used to optimize the work of the Photovoltaic which will be used for DC load sources. The MPPT process consists of four main stages, namely module training data, determining input and output data, determining the number and type of membership functions and ANFIS training data. Zeta converter works like a buck boost, which can increase or decrease the voltage which is an advantage in designing systems with very volatile Photovoltaic sources. Zeta Converter is used to get higher efficiency, smaller input and output current ripple values and smaller core losses in the inductor. To improve the efficiency of system performance, An MPPT algorithm for the adaptive neuro fuzzy inference system (ANFIS) that is programmed into a microcontroller controls the zeta converter. ANFIS control is used because the response is faster and more effective. The combined simulation's findings demonstrate that the ANFIS control was successful, and the system can now produce the best possible power from Photovoltaic ipanelsiiniMPPT mode by boosting efficiency by up to 19.96%.
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
Battery Management System dengan Fitur Adaptive Current Protection terhadap Suhu SUHARININGSIH, SUHARININGSIH; YULIANDA, FRIKO; SUNARNO, EPYK; NUGROHO, MOCHAMAD ARI BAGUS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.498

Abstract

ABSTRAKKetika charging, baterai lithium-ion seringkali terjadi overheat dan overcharge. Begitu pun ketika discharging juga terjadi overdischarge, overheat dan overcurrent apabila tidak sesuai kurva karakteristik (T=-8.75*I+60). Hal tersebut menyebabkan kerusakan sel baterai sehingga megurangi lifetime baterai. Penelitian ini dibuat sistem battery management system (BMS) yang memantau suhu dan arus melalui pembacaan sensor. Apabila suhu saat charging melebihi batas maksimum (45°C), sistem akan diproteksi dengan menonaktifkan MOSFET (switch). Proteksi ketika discharging terjadi jika suhu atau arus melebihi batas kurva atau safety factor (p). Dari hasil data charging, sistem mampu memproteksi overheat dengan error 0.43% dan menghitung nilai state of charge (SoC) dimana akan beralih ke mode discharge jika melebihi 85% dengan error 0.01%. Saat discharging sistem mampu memproteksi ketika besaran suhu dan atau arus melebihi safety factor yakni 60 dengan error 1.74% serta mampu beralih ke mode charge jika SoC kurang dari 40% dengan errror 0.018%.Kata kunci: Safety factor, Battery Management System, State of Charge ABSTRACTDuring charging, lithium-ion batteries risk overheating and overcharging, while discharging may lead to overdischarge, overheating, and overcurrent if deviating from the characteristic curve (T=-8.75*I+60), causing battery cell damage and reducing lifetime. This study introduces a Battery Management System (BMS) that monitors temperature and current using sensors. If the charging temperature surpasses the limit (45°C), the system protects by deactivating the MOSFET switch. Discharging protection triggers if temperature or current exceeds the curve or safety factor (p). Analyzing charging data, the system defends against overheating with a 0.43% error, calculates State of Charge (SoC), shifting to discharge mode if exceeding 85% with a 0.01% error. During discharging, the system safeguards against temperature and/or current surpassing the safety factor of 60 with a 1.74% error and switches to charge mode if SoC falls below 40% with a 0.18% error.Keywords: Safety factor, Battery Management System, State of Charge
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.
Comparison Method of PI, PID and Fuzzy Logic Controller to Maintain Speed Stability in Single Phase Induction Motors Irianto, Irianto; Murdianto, Farid Dwi; Sunarno, Epyk; Proboningtyas, Dewinta Dwi
INTEK: Jurnal Penelitian Vol 8 No 1 (2021): April 2021
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v8i1.2687

Abstract

Induction motor speed control is one of the operating conditions that is often used so that feedback with a low error rate is required. To fulfill this, PI and PID controls have been implemented for single phase induction motors. This control has parameters, namely Kp, Ki and Kd. PI and PID controls can cover a variety of desired response conditions, but these controls still have weaknesses in the tuning process. The tuning process used still has a fairly large error value. So in this case we need an intelligent control to meet the desired motor speed response specifications. The performance of motor speed regulation was evaluated using a comparison between PI and PID control with Fuzzy in a closed loop. With a setting point of 1500 rpm, for PI control, with Kp = 7.32 and Ki = 0.005 can produce motor speeds up to 1499. While PID control with Kp = 0.95, Ki = 0.005 and Kd = 0.04 can produce similar speeds. 1492. Fuzzy control can produce an output of 1490 rpm. Fuzzy control is able to produce a settling time of 0.25 seconds and a steady error of 0.67%.
IOT-Based Smart Home Control Design Using Blink Application and Esp8266 Wi-Fi Module Anggara Trisna Nugraha; Ananda Ismul Azam; Rama Arya Sobhita; Epyk Sunarno
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 1 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i1.5

Abstract

The swift progression of technology has significantly impacted contemporary human existence, leading to an escalating demand for tools that simplify daily tasks. Automation is viewed as a means to reduce time, enhance accessibility, and improve efficiency. Particularly, the adoption of Smart Home technology is becoming increasingly crucial in present times. This research endeavors to develop an innovative prototype for a home equipped with IoT capabilities. The prototype incorporates a range of sensors and components to fulfill various functions: a DHT11 sensor for monitoring room temperature, an MQ-2 sensor for detecting gas leaks, an ultrasonic sensor for object detection, an MC38 magnet sensor for door security, a relay to control lamp switches, and a buzzer for alarms, all managed by a microcontroller. Additionally, the system utilizes a NodeMCU with a Wi-Fi module ESP8266, facilitating communication and control through the Blynk App. The Research and Development (R&D) methodology was employed to create this IoT-enabled Smart Home prototype, aiming to enhance user convenience in daily living.
Co-Authors Ahmad Firyal Adila Ananda Ismul Azam Anggara Trisna Nugraha Aqidah Ahya Nurlaily Armadilla Sukma Pratiwi Arman Jaya Azizah Istiqomah Yustikasari BAYHAQI, KHAFIDZ Brilianti Qori' Avrila Diah Septi Yanaratri Dimas Okky Anggriawan Eka Prasetyono, Eka Endro Wahjono, Endro Farid Dwi Murdianto Ferdiansyah, Indra Fuad, Muchamad Chaninul Fuad, Muchamad Chaninul Gigih Prabowo Habibi, Muhammad Nizar Hendik Eko H Suharyanto Imam Dui Agusalim Indhana Sudiharto Irianto Irianto Irianto Irianto Luki Septya Mahendra Mahbub Gusti Muhammad Mauridhi Heri Purnomo MOCHAMAD ARI BAGUS NUGROHO Muhammad Fauzi Nizar Habibi, Muhammad Novie Ayub Windarko Nuva Choironi Ersha Proboningtyas, Dewinta Dwi Putu Agus Mahadi Putra Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Rama Arya Sobhita Rifadil, Mochammad Machmud Rusli, Muhammad Rizani Safah Tasya Aprilyani SALSABILA, MUTIARA NADHIFAH Soebagio Soebagio Suhariningsih Suhariningsih Suhariningsih Syahrin, Ahmad Alvi Syechu Dwitya Nugraha Yahya Chusna Arif Yolanita, Dian YULIANDA, FRIKO Zaenal Efendi, Mohammad