Deteksi Status Internal Battery UPS Berdasarkan Hasil Pengukuran Resistansi Dari Battery Tester Menggunakan Algoritma C4.5
DOI:
https://doi.org/10.58776/jriti.v2i1.44Kata Kunci:
C4.5 algorithm classification model, uninterruptible power supply, resistance, battery tester, decision treeAbstrak
The purpose of this research is to propose a classification model using the decision tree method that can detect the internal status of UPS batteries by using resistance measurements from a battery tester. Resistance data of UPS batteries were collected from measurements conducted under various conditions. This study focuses on supervised learning models, where the data is processed to form a decision tree using the C4.5 classification algorithm. The test results show that the classification of UPS battery internal status can be achieved with high accuracy. The data presentation results were obtained from 100 units of battery systems in UPS, with two conditions identified: 38 units of batteries with a Normal condition and a presentation data accuracy rate of 100%, and 62 units of batteries with a Fault condition and a presentation data accuracy rate of 100%. By using this classification model, users can monitor the performance of the internal battery in the UPS system and take necessary actions to maintain stable UPS system operation and usage.
Referensi
P M Bintang, M M Ary, dan K Ekki. (2019). Sistem Monitoring Pada Uninterruptible Power Supply Berbasis Internet Of Things. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 710 – 714.
W T Kusuma, S Steven. (2019). Perancangan Panel Automatic Transfer Switch Dan Automatic Main Failure Dengan Kontroler Berbasis Arduino. Sigma Teknika, 2(2), 207 – 223.
M A Akbar, Suhanto, dan S Lady. (2019). Rancang Bangun Kontrol dan Monitoring Baterai Uninterruptible Power Supply (UPS) Menggunakan Energi Hybrid Dengan Konsep Internet Of Thing (IOT). Prosiding : Seminar Nasional Inovasi Teknologi Penerbangan (SNITP).
O Gakila, Herman, dan F Dina. (2022). Analisa Kinerja Inverter Pada UPS (Uninterruptible Power Supply) Kapasitas 75 KVA Di STG (Steam Turbin Generator) PT. Pupuk Sriwidjaja Palembang. Jurnal Infolek UTP, 1(1), 26 – 30.
S T Edo, A Yosi, dan H Muhammad. (2021). UPS (Uninterruptible Power Supply) 1000 Watt Berbasis Panel Surya. Jurnal Teknik Elektro Universitas Muhammadiyah Palembang, 45 – 51.
Charbuty, B., & Abdulazeez, A. (2021). Classification based on decision tree algorithm for machine learning. Journal of Applied Science and Technology Trends, 2(01), 20-28.
K Hendra. (2020). Deteksi Twitter Bot Menggunakan Klasifikasi Decision Tree. Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan, 9(1), 31 – 37.
R Yusi. (2019). Implementasi Klasifikasi Decision Tree Menganalisa Status Penjualan Barang Menggunakan C4.5. Jurnal Pelita Informatika, 7(3), 404 – 411.
Lin, M., Yan, C., Wang, W., Dong, G., Meng, J., & Wu, J. (2023). A data-driven approach for estimating state-of-health of lithium-ion batteries considering internal resistance. Energy, 277, 127675.
Jinasena, A., Spitthoff, L., Wahl, M. S., Lamb, J. J., Shearing, P. R., Strømman, A. H., & Burheim, O. S. (2022). Online internal temperature sensors in lithium-ion batteries: State-of-the-art and future trends. Frontiers in Chemical Engineering, 4, 6.
Doughty, D. H., Butler, P. C., Jungst, R. G., & Roth, E. P. (2002). Lithium battery thermal models. Journal of power sources, 110(2), 357-363.
N Muslih. (2021). Karakteristik Baterai Sebagai Penyimpan Energi Listrik Secara Spesifik. Journal Of Electrical Technology, 6(1), 35 – 40.
Dwiyanto dan M Yana. (2020). Perancangan Alat Bantu Tester Baterai Kendaraan Berbasis Arduino Dengan Keluaran Sistem SMS. ISU Teknologi STT Mandala,15(2), 37-50.
F Dini dan L R Indra. (2021). Prediksi usia pakai baterai pada sistem pencadangan unit 3 PLTU Suralaya. JITEL (Jurnal Ilmiah Telekomunikasi), Elektronika, dan Listrik Tenaga, 1(2), 147 – 154.
Z Wenlu, Z Yanping, P Zhengjun, dan L Qiang. (2021). Review On The Battery Model And SOC Estimation Method. Processes, 9, 1 – 23.
M Zeyu, Y Ruixin, dan W Zhenpo. (2019). A Novel Data-Model Fusion State-Of-Health Estimation Approach For Lithium-Ion Batteries. Applied Energy, 237, 836 – 847.
Pratiwi, Rani Ramadhani Eka. 2019. Pengaruh Proses Pengisian Charging Baterai Terhadap Efisiensi UPS (Uninterruptible Power Supply) di PT. Pupuk Sriwidjaja Palembang. Fakultas Teknik : Universitas Sriwijaya.
Payung, Y. R., Purwanto, E., & Murdianto, F. D. (2020). Rancang Bangun Buck-Boost Converter Pada Sistem Charging Baterai dengan Sumber Solar Cell Menggunakan Kontrol PI pada Uninterruptible Power Supply ( UPS ) Offline untuk Aplikasi Beban Rumah Tangga.
H Xiaosong, X Le, L Xianke, dan P Michael. (2020). Baterry Lifetime Prognostics. Joule, 4, 310 – 346.
P Annas, H M Hari, dan S Primatua. (2021). Simulasi Penerapan Metode Decision Tree (C4.5) Pada Penentuan Status Gizi Balita. Jurnal Nasional Komputasi dan Teknologi Informasi, 4(3), 209 – 214.
N A Husnah. (2021). Implementasi Algoritma Decision Tree Untuk Klasifikasi Produk Laris. Jurnal Ilmiah Ilmu Komputer, 7(2), 45 – 51.
H Hananda dan P A Nadia. (2020). Penerapan Metode Klasifikasi Decision Tree Pada Status Gizi Balita Di Kabupaten Simalungun. KESATRIA : Jurnal Penerapan Sistem Informasi (Komputer & Manajemen), 1(2), 68 – 72.
P S Ucha, I Eka, dan R Fitri. (2021). Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5. KESATRIA : Jurnal Penerapan Sistem Informasi (Komputer & Manajemen), 2(1), 39 – 46.
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Hak Cipta (c) 2025 Muhammad Assegaf Raja Kusumah, Ananda Setyawati, Muhammad Bisma Arya Wardana, Tb Ai Munandar, Ajif Yunizar Pratama Yusuf
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