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All Journal Electrician : Jurnal Rekayasa dan Teknologi Elektro
Lukmanul Hakim
Universitas Lampung
Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Identifikasi Karakteristik Suhu Pada Kesehatan Baterai litium-ion Berbasis Citra Thermal Perdana Agung Nugraha; Sri Ratna Sulistiyanti; F.X. Arinto Setyawan; Helmy Fitriawan; Lukmanul Hakim
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 1 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n1.2891

Abstract

Over the past few decades, the demand for environmentally friendly energy has led to an increase in the use of energy storage technologies such as batteries. One type of battery that is widely used is the lithium-ion battery because it has high durability, high energy density, and is lightweight. However, this battery is sensitive to extreme conditions such as high temperatures and excessive charging or discharging, which can affect battery health. This study aims to determine the health condition of lithium-ion batteries based on temperature characteristics from thermal images, as well as to evaluate the accuracy of a fuzzy logic system in predicting battery health status. The fuzzy logic system is used because it can handle uncertainty within varying temperature data ranges. The data used consists of 20 battery samples categorized into three groups: Healthy, Warning, and Unhealthy. The input parameters include the battery's operating temperature and the difference between the battery temperature and the ambient temperature. Evaluation was conducted using confusion matrices such as accuracy, precision, recall, and F1-score. The analysis results show that the fuzzy model has an accuracy of 84% and a precision rate of 84% for the Healthy category, 75% for the Warning category, and 93.75% for the Unhealthy category, as well as a recall evaluation of 91.30% for the Healthy category, 54.55% for the Warning category, and 93.75% for the Unhealthy category. These findings indicate that the fuzzy method is quite effective in monitoring battery health through temperature analysis.
Analisa dan Optimasi Koordinasi Over Current Relay (OCR) Dan Ground Fault Relay (GFR) Dengan Menggunakan Metode Particle Swarm Optimization (PSO) Muhammad Riehan Arraief; Lukmanul Hakim; Zulmiftahul Huda; Osea Zebua
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 1 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n1.2954

Abstract

Sistem proteksi pada jaringan tenaga listrik dituntut untuk bekerja cepat, tepat, dan selektif demi menjaga keandalan serta keamanan operasi. Penelitian ini bertujuan untuk menganalisis dan mengoptimalkan koordinasi Over Current Relay (OCR) dan Ground Fault Relay (GFR) menggunakan metode Particle Swarm Optimization (PSO). Parameter yang dioptimalkan meliputi Time Dial Setting (TDS), arus pick-up (??), dan waktu operasi. Hasil penelitian menunjukkan bahwa metode PSO menghasilkan setting baru yang lebih selektif dibanding kondisi eksisting. Setting akhir yang diperoleh adalah sebagai berikut: OCR penyulang dengan ?? = 360 A, TDS = 0.15 s; OCR 20 kV dengan ?? = 2000 A, TDS = 0.27 s; OCR 150 kV dengan ?? = 270 A, TDS = 0.38 s. Sementara itu, GFR penyulang memiliki ?? = 30 A dengan waktu operasi 0.125 s, GFR 20 kV dengan ?? = 100 A dan waktu operasi 0.23 s, serta GFR 150 kV dengan ?? = 90 A dan waktu operasi 0.62 s. Urutan kerja proteksi menjadi lebih optimal, yaitu relay penyulang bekerja paling cepat, diikuti relay 20 kV, dan terakhir relay 150 kV, sesuai standar IEC 60255. Dengan demikian, penerapan metode PSO mampu mengoptimasi koordinasi sistem proteksi serta meminimalisir pemutusan area gangguan yang lebih luas.
Co-Authors Helmy Fitriawan Muhammad Riehan Arraief Osea Zebua Perdana Agung Nugraha Setyawan, FX Arinto Sri Ratna Sulistiyanti Zulmiftahul Huda