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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA
Marbun, Musa Partahi
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Evaluasi Gangguan Jaringan Distribusi Tegangan Menengah Menggunakan Failure Mode and Effect Analysis (FMEA) Mubarok, Kholifah Yusuf; Marbun, Musa Partahi
TIN: Terapan Informatika Nusantara Vol 6 No 9 (2026): February 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i9.9280

Abstract

Disturbances in the medium voltage distribution network at PT PLN Persero UP3 Makassar Selatan cause repeated outages that disrupt supply continuity in a major economic hub of Eastern Indonesia, with 1,207 incidents recorded in 2024 dominated by the rainy season. This study aims to quantify unserved energy losses for each disturbance type, determine the severity and occurrence levels of failure modes, apply Failure Mode and Effect Analysis (FMEA) for risk mapping, and formulate preventive mitigation strategies. Historical outage data from 2024 and expert judgements from distribution maintenance personnel are processed through three‑phase power and Energy Not Supplied (ENS) calculations, severity–occurrence scaling, FMEA tabulation, and a 5×5 risk matrix to classify risk levels. The results show that lightning/extreme weather, trees/vegetation, animals, and “unidentified” causes generate the largest ENS and fall into the highest risk classes, while internal equipment failures generally remain at moderate to low risk. Recommended actions include reinforcing lightning protection and grounding, systematic vegetation management, installation of animal protection devices, improvement of joints and construction quality, optimization of protection operation, and community/social stakeholder outreach, which are estimated to be more cost‑effective than tolerating recurring outage losses.
Analisis Kondisi Transformator Tenaga dan Rekomendasi Tindak Lanjut Berbasis Health Index Nusaman, I Made Gusmara; Marbun, Musa Partahi
TIN: Terapan Informatika Nusantara Vol 6 No 10 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i10.9430

Abstract

Transformers are essential equipment in electric power transmission systems that function to adjust voltage levels according to system requirements. Over the course of operation, transformer performance may degrade due to aging, loading conditions, and the frequency of disturbances, which can potentially reduce the reliability of power supply. This study examined 22 units of 150 kV GIS-type power transformers with a capacity of 60 MVA located across 8 GIS substations, using a Health Index–based analysis method. The application of the Health Index showed that 19 transformers (86.36%) were in the Good–Very Good category, while 3 units (13.64%) were in the Caution–Very Poor category. Validation was carried out on samples representing the Very Good, Poor, and Very Poor categories, and it demonstrated strong agreement between the Health Index values and the results of inside check, laboratory tests, as well as operational history and further in-depth testing. Correlation analysis indicated a strong negative relationship between the Health Index and transformer operating age (r = –0.821), suggesting that increasing operation age significantly contributes to a decrease in the Health Index value. Based on the analysis, three follow-up actions are recommended: normal operation, operation with intensive and periodic monitoring, and transformer replacement, representing the overall health levels of the transformers in the study sample.
Co-Authors I Made Gusmara Nusaman, I Made Gusmara Mubarok, Kholifah Yusuf