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All Journal International Journal of Electrical and Computer Engineering Jurnal Silvikultur Tropika (JST) JREC (Journal of Electrical and Electronics) Jurnal Ilmu Komputer dan Agri-Informatika Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIN (Jurnal Online Informatika) Petir JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Sistem Informasi Proceedings National Conference Sisi Indonesia
Hendra Rahmawan Hendra Rahmawan
Departemen Ilmu Komputer, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences

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Integration of Voting-Based Statistical Ensembles and Rule Mining for Anomaly Detection in Microsatellite Power System Rizki Permala; Imas Sukaesih Sitanggang; Hendra Rahmawan; Wahyudi Hasbi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 14, No 2: June 2026
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v14i2.7561

Abstract

This study aims to detect anomalies, types of anomalies, and identify attributes that contribute to the cause of anomalies in the LAPAN-A2 microsatellite power system. Anomaly detection is cumulative-based, where the first year's dataset is added to the datasets of subsequent years for eight years. Anomaly detection uses a voting-based statistical ensemble (VBSE) approach and a combination of Apriori-Close to find associations and reduce rules. The VBSE obtained an average recall value of 86.49 and an average F1-score of 70.49. The F1-score value of VBSE increased by 4.2-fold compared with IForest (16.95), by 12.6-fold compared with ECOD (5.57), and by 5.6-fold compared with LOF (12.65). VBSE showed an increase in performance as the dataset complexity increased (DS1 → DS8), whereas IForest, LOF, and ECOD tended to decrease. The combination of metrics minSupp. 0.02%, minConf. 0.9, and lift is proven to be effective in capturing rare, reliable anomalies and significant association relationships. A strong correlation was observed between batteries (VBatt1–VBatt3) and a causal relationship between U_UMPB and VBatt. The types of anomalies detected included single, contextual, and correlation anomalies.
Co-Authors Abrori, Farid Affriza Brilyan Relo Pambudi Agus Putra Ahmad Khusaeri Albar, Israr Ali Imran Anggaraini, Anjeli Preti Ardiansyah, Feri Auriza Rahmad Akbar Auriza Rahmad Akbar Bayu Prasetia, Bayu Dary Muzhar Muhammad Eko Kuncoro Adiyanto Farianto Fathan Mubina Sarjoko Firman Ardiansyah Firmansyah, Syahrul Haris Hendro Pratama Saragih Heru Sukoco Imas Sukaesih Sitanggang Ismail, Hilyan Taufik Karlisa Priandana Kartika, Shofiana Krisnanto, Ferdian Lailan Syaufina Maxiwinata, Maxdha Muhammad Ilyas Sikki Muhammad Ilyas Sikki Muhammad Ilyas Sikki Muhammad Ilyas Sikki Nugraha, Farid Adi Prasetyawan, Ibnu Pratama, Aditya Agung Budi Pujijayanti, Ovita Purwanti, Endang Yuni Refianto Damai Darmawan Refianto Damai Darmawan Rizki Permala Satyawan, Verda Emmelinda Shelvie Nidya Neyman Siregar, Guna Yanti K. S Sitanggang, Imas S. Sri Wahjuni Sugi Guritman Supiyandi, Abi Supriyanto, Arif Trisminingsih, Rina Wahyudi Hasbi Wisnu Ananta Kusuma WULANDARI Yan Mitha Djaksana Yudistira, Wildan Eka