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All Journal Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Computer, Electronic, and Telecommunication (COMPLETE) Journal of Applied Smart Electrical Network and System (JASENS) Bulletin of Community Engagement JPNM : Jurnal Pustaka Nusantara Multidisiplin Frontiers in Community Service and Empowerment International Journal of Mechanical, Electrical and Civil Engineering Jurnal Teknologi Maritim
Ii Munadhif
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Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Nursing Social Sciences Other

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Journal : Journal of Applied Smart Electrical Network and System (JASENS)

 1 
the Estimation of State of Charge for 4S2P Lithium-Ion Battery Using Kalman Filter and Coulomb Counting Tiara Erly Syah Putri; Mat Syai’in; Ii Munadhif
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1166

Abstract

State of Charge (SoC) estimation is crucial for the performance and safety of Battery Management Systems (BMS). This study evaluates and compares two SoC estimation methods—Kalman Filter and Coulomb Counting—based on numerical simulation of a 4S2P lithium-ion battery charging process using MATLAB. The methods are assessed using statistical metrics: RMSE, MAE, MAPE, and R², and are compared against both current-based reference calculations and normalized actual voltage. Kalman Filter consistently demonstrates superior performance, achieving lower RMSE (0.00067) and MAE (0.00045) against SoC reference, and RMSE (0.0376), MAE (0.0312), R² (0.978) against voltage reference. In contrast, Coulomb Counting shows increased error accumulation and lower correlation with system behavior. This confirms Kalman Filter's robustness in dynamic conditions, owing to its real-time correction mechanism and noise tolerance. The study highlights Kalman Filter as a more accurate and reliable method for modern BMS applications. Recommendations for future development include real-world testing and hybrid algorithm implementation.
Implementasi Logika Fuzzy dalam Perancangan Sistem Kontrol Kecepatan Motor Chain Conveyor Rizky, Sofi Berliana; Rachman, Isa; Ii Munadhif
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/j93p5q70

Abstract

Dalam sistem produksi industri, chain conveyor merupakan komponen penting untuk memindahkan material secara efisien. Namun, variasi beban secara dinamis dapat menyebabkan gangguan pada kinerja motor penggerak, seperti peningkatan arus dan suhu yang berisiko menyebabkan kerusakan. Penelitian ini bertujuan merancang sistem kontrol kecepatan motor chain conveyor berbasis logika fuzzy dengan metode Sugeno untuk mengatasi permasalahan tersebut. Sistem mengandalkan input dari sensor Load Cell (berat material), PT100 (suhu motor), dan PZEM-004T (arus listrik) yang diproses menggunakan aturan fuzzy. Keluaran sistem berupa sinyal kontrol untuk mengatur kecepatan motor melalui inverter. Perancangan dilakukan dengan integrasi sensor, ESP32, serta aktuator seperti relay dan motor servo, dengan pengaturan sinyal PWM yang dikonversi menjadi tegangan analog. Simulasi sistem menggunakan software Matlab menunjukkan bahwa logika fuzzy Sugeno mampu menentukan set point kecepatan motor secara akurat berdasarkan input aktual. Pada pengujian dengan berat material 900 gram, suhu motor 37,4°C, dan arus listrik 2,29 A, sistem berhasil menghasilkan frekuensi motor sebesar 25 Hz yang sesuai dengan perhitungan manual. Hasil ini menunjukkan bahwa metode fuzzy efektif dalam menyesuaikan kecepatan motor secara adaptif, serta meminimalisasi risiko overload pada motor dalam kondisi operasional yang berubah-ubah.
Simulasi Deteksi Marka Jalan Menggunakan Canny Edge Detection untuk Navigasi Kendaraan Otonom Akbara, Febrian; Ii Munadhif; Mohammad Abu Jami'in; Ryan Yudha Adhitya; Imam Sutrisno
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/1a6jvn12

Abstract

This study develops an automatic steering control system based on image processing using the Canny Edge Detection method. The system is implemented on a small-scale autonomous vehicle prototype, utilizing Raspberry Pi 5 as the main processor and a Pi Camera as the visual sensor. Video frames are processed through several stages, including color conversion, Grayscale, Gaussian blur, Edge Detection, Region of Interest (RoI), and lane center estimation. The results show an average lane detection accuracy of 96% with responsive steering control, indicating the system's potential for lightweight autonomous vehicle navigation.
Co-Authors Abdullah Fiqru Siech Abu Jami’in Achmad Nawawi Adianto Afif Zuhri Arifianto Agus Khumaidi Agus Khumaidi Ahmad Putra Akbara, Febrian Aminatus Sa’diyah Andika Aldo Pratama Anggara Trisna Nugraha Arfianto, Afif Zuhri Asri, Purwidi Aulia Rahma Annisa Boedi Herijono DANIA KIKI SANDIYA Deni Almunawar Devina Puspita Sari Didik Sukoco Diego Ilham Yoga Agna Dimas Pristovani Riananda Dwi Rizky Anto Edy Setiawan Eng Imam Sutrisno Fajar Rahmat Adzani Faris Riyadi Galih Anindita Hannisa Kautsarani Hamidah Hasin, Muhammad Khoirul Imam Sutrisno Isa Rachman Joessianto Eko Poetro Joko Endrasmono Laili Agustin Widyaningrum Masitah, Dewi Ayu Mat Syai’in Mochammad Rifai Mohammad Abu Jami'in Muhammad Bilhaq Ashlah Muhammad Dzi Washfil Hasin Muhammad Izzul Haj Mukhammad Jamaludin Mustika Kurnia Mayang Sari Naufal Hibban, Naufal Hibban Ni'matut Tamimah Pingky, Ginda Pingky Ramadhani Ponti Almas Karamina Putra, Zindhu Maulana Ahmad Rahmania Firdiansyah Ramadani, Yury Novian Rinanto, Noorman Rizky, Sofi Berliana Rohmansyah, Ade Fitra Ryan Yudha Adhitya Ryan Yudha Aditya Salsabila Ika Yuniza Samudra Rozzak Arrachman Soelistijono, Rachmad Tri Suci Indaryani Suwandi, Donny Aryo Seno Syafiuddin Tegar, Gandhi Achmad Tegar Prakasa Tiara Erly Syah Putri Widya Primaswari Putri1 Zindhu Maulana Ahmad Putra