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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Teknika e-Jurnal Arus Elektro Indonesia ELINVO (Electronics, Informatics, and Vocational Education) 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 JAREE (Journal on Advanced Research in Electrical Engineering) Journal of Electrical Engineering and Computer (JEECOM) Electrician : Jurnal Rekayasa dan Teknologi Elektro ELPOSYS: Jurnal Sistem Kelistrikan Jurnal Rekayasa elektrika
Indhana Sudiharto
Politeknik Elektronika Negeri Surabaya, Indonesia
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Inovasi Teknologi Berbasis IoT dalam Pakan Ikan Otomatis dan Monitoring Kualitas Air Kolam untuk Ketahanan Budidaya Ikan Nila di Desa Krecek, Kediri Sudiharto, Indhana; Suryono, Suryono; Utomo, Jonny; Mahendra, Luki Septya; Adila, Ahmad Firyal; Raharja, Lucky Pradigta Setiya; Surindra, Bayu
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 7 No. 3 (2025): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v7i3.18163

Abstract

Perkembangan teknologi informasi membuka peluang untuk meningkatkan efisiensi dalam berbagai bidang, termasuk budidaya ikan. Saat ini, pemberian pakan ikan dan penggantian air kolam pada budidaya ikan nila masih banyak dilakukan secara manual, yang kurang efektif karena sangat bergantung pada tenaga manusia. Untuk mengatasi hal ini, dirancang sebuah sistem otomatisasi berbasis Internet of Things (IoT) yang dapat memantau kualitas air kolam dan memberikan pakan ikan secara terjadwal. Sistem ini menggunakan mikrokontroler ESP32 yang dilengkapi modul WiFi, sensor turbidity untuk memantau kekeruhan air serta filterisasi air guna mempertahankan kekeruhan dalam batas 50 NTU, sensor ultrasonik untuk mendeteksi ketinggian air kolam, serta motor rotary/synchrone untuk mengontrol pembukaan dan penutupan katup pakan. Seluruh sistem dapat dimonitor dan dikendalikan melalui aplikasi, maupun website. Dengan adanya sistem ini, pemelihara ikan dapat memastikan pemberian pakan secara teratur yang dilengkapi dengan indikator stok pakan dan riwayat pemberian pakan serta memantau kualitas air kolam secara real-time, bahkan dari jarak jauh selama terdapat akses internet. Sistem ini diharapkan dapat meningkatkan efisiensi dan produktivitas budidaya ikan nila di Desa Krecek, Kecamatan Badas, Kabupaten Kediri.
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
Smart adaptive CC-CV charger with PSO-accelerated load identification and fuzzy duty-cycle regulation Indhana Sudiharto; Era Purwanto; Muhamad Milchan; Alifian Nur Rahmadika
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v17.i2.pp1045-1057

Abstract

This paper presents an adaptive constant-current/constant-voltage (CC-CV) charger architecture, meticulously designed to address a key challenge in smart chargers. This challenge involves recognizing various battery types and applying the appropriate charging profile expeditiously, without requiring user intervention. The system integrates a particle swarm optimization (PSO) algorithm for ultra-fast load identification with a Mamdani-type fuzzy logic controller for precise duty cycle regulation. The PSO mechanism is capable of determining the optimal initial duty cycle in less than 500 milliseconds. Subsequent to this preliminary initiation, the fuzzy logic controller guarantees the effectiveness of current and voltage regulation during the charging phases. The simulation results obtained from this study validate the system's robustness, as evidenced by the consistent maintenance of voltage ripple below ±0.06 V and current ripple below ±0.04 A. These findings demonstrate the efficacy of the proposed approach in achieving fast, stable, and safe multi-load battery charging. The chemistry-agnostic design of the battery pack is extendable to any battery pack following the CC-CV paradigm, making it highly suitable for practical applications that demand flexibility and high reliability.
Co-Authors Achmad Luki Satriawan Ahmad Firyal Adila Alifian Nur Rahmadika Amsyar, Aidin Amsyar, Aidin Anang Budikarso Anang Budikarso, Anang Anang Tjahjono, Anang Andraeni, Azzahra Farah Arman Jaya Ayu Wulandari Ayu Wulandari Deriz Caesar Okinanto Diah Septi Yanaratri Dimas Okky Anggriawan Donny Prasetyo Santoso Eka Prasetyono, Eka Endro Wahjono Endro Wahjono, Endro ENI WULANDARI Epyk Sunarno Era Purwanto Fahmi Naufala Mumtaz Farid Dwi Murdianto Ferdiansyah, Indra Firdaus, Aji Akbar Fitria Devi, Safira Gigih Prabowo Habibi, Muhammad Nizar Hartono, Helleina Rejeki Putri Hendik Eko H Suharyanto Imam Dui Agusalim Irianto Irianto Jufriyadi, Mohammad Karso, Anang Budi Lavia Isnani Lucky Pradigta Setiya Raharja Lugiana Nur Fitriah Rhamadani Lugiana Luki Septya Mahendra Mahbub Gusti Muhammad Mentari Putri Jati Milchan, Muhamad Moch. Igam Rahadyan MOCHAMAD ARI BAGUS NUGROHO Mochammad Denny Surindra Mufa’ary, Neily Itsqiyah Muhamad Milchan Mumtaz, Fahmi Naufala Nismayanti, Nila Nanda Nizar Habibi, Muhammad Nizar, Ahmad Hisam Nugroho, Mochammad Ari Bagus Ony Asrarul Qudsi Ony Qudsi Pratama, Rafiif Ariesandi Rola Putri, Berliana Rahma Putu Agus Mahadi Putra Qudsi, Ony Qudsi, Ony Asrarul Rachma Prilian Eviningsih Rachma Prilian Eviningsih, Rachma Prilian Rakhmawati, Renny Rifadil, Mochammad Machmud Romadhoni, Muhammad Fauzi Rusli, Muhammad Rizani Sasetyo, Muhammad Yudha Suhariningsih Suhariningsih Suryono Suryono Suryono Suryono Suryono Sutedjo Syahrin, Ahmad Alvi Taufika, Putri Utomo, Jonny Widyasavitta, Vena Chika Yahya Chusna Arif Yanaratri, Diah Septi Yolanita, Dian Zaenal Efendi, Mohammad Zulfa, Wildana