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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro Sinergi JURNAL NASIONAL TEKNIK ELEKTRO CYCLOTRON Buletin Ilmiah Sarjana Teknik Elektro Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan International Journal of Computer and Information System (IJCIS) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Ilmiah Teknik Elektro Journal of Advanced Technology and Multidiscipline (JATM) International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Husnayain, Faiz
Departemen Teknik Elektro FTUI Electric Power And Energy Studies (EPES) UI
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology

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Risk-based predictive maintenance of medium voltage network switching equipment using analytical hierarchy process as an analytical tool Gumilang, Erick Satriyo; Hudaya, Chairul; Sudiarto, Budi; Husnayain, Faiz
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.011

Abstract

Predictive maintenance has become crucial for enhancing the reliability and efficiency of electrical systems, especially for Medium Voltage Network (MVN) switching equipment, which plays a key role in electricity distribution. This study aimed to develop a risk-based predictive maintenance model for MVN switching equipment using the Analytical Hierarchy Process (AHP) for maintenance prioritization, along with Z-score and Monte Carlo simulation methods to evaluate risk likelihood and impact. The Z-score method assessed the probability of risks occurring, revealing a probability exceeding 90% for specific equipment, such as UP2D.2025.C4, at 93.12%. The Monte Carlo simulation assessed the potential impact of these risks, showing severe consequences for various types of equipment. For example, UP2D.2025.C1 had a mean of 28.51 and a standard deviation of 3.50, while UP2D.2025.C8 had a standard deviation of 33.17, with an impact of over 61.53%. AHP was used to assign priority weights to components based on criteria such as equipment age, operational condition, and failure history. The analysis indicated that the Lightning Arrester had the highest maintenance priority at 26.04%, followed by the Fuse Cutout at 20.62% and the Pole-Mounted Circuit Breaker at 11.15%. This research was expected to significantly contribute to the development of more efficient and effective maintenance strategies for electrical systems, particularly in the electricity distribution sector.
Co-Authors Abdul Wachid Syamroni Abdullah Umar, Abdullah Ade Rahmat, Ade Agung Budiyanto Agus Indarto Agus R Utomo Agus R Utomo Agus R. Utomo Ahmad Zamzami Aji Nur Widyanto Aji Nur Widyanto Akmal Zuhdi, Muhammad Alvin, Bob Amien Rahardjo Anisah Muthi’ah Anjar Bryantiko Pangestu Ardhyantoro, Novan Iman Arsyad, Masrajuddin Aryani, Dwi Riana Athaya Mahira Budi Sudiarto Dicky Syachreza Himawan Enggar Bowo Suasono, Oktavianus Fauzan Hanif Jufri Fitri, Ismi Rosyiana Gumilang, Erick Satriyo Hanindito Titah Prameswara Hudaya, Chairul I Made Ardita I Made Ardita I Made Ardita Y I Made Ardita Y. Ida Ayu Vadanti Locana Diwy Ilham Rais Ismi Rosyiana Ismi Rosyiana Fitri Jamaluddin, Tisha Aditya Anggraini Januarsyah, Ginanjar Jufri, Fauzan Hanif Justinus Dipo Nugroho Khusuma, AB Rendra Mahira, Athaya Muhamad Abdul Aziz Muhamad Arya Krisna Adhi Muhammadia, Khayrunnisa B Nadyanti Larasati Pradanugraha, Muhammad Arkhan Rahardjo, Amien Raihan, Sultan Rudy Setiabudy Sholihah, Najwati Sinurat, David Daniel Christianto Tamim, Faizal Widyanto, Aji Nur Yusmar, Yusmar