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Digital Simulation of Short Circuit Current Calculation Using Graphical User Interface for Learning Media Electric Power System Analysis Rahmaniar, Rahmaniar; Junaidi, Agus; Tarigan, Adi Sastra P; Butar Butar, Abdul Hakim
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.743 KB) | DOI: 10.29099/ijair.v6i1.360

Abstract

The research examines the design of a simulation program for short circuit calculations. A short circuit is an abnormal event called a disturbance in the electric power system. The classification of short circuit consists of three-phase fault, single-phase fault to ground, two-phase fault and two-phase fault to ground. Calculation of short circuit faults in electric power systems is very important for the study of reliability and safety of power systems. The method used in the design of the Graphical User Interface (GUI) based simulation program is the experimental method, which is to identify the magnitude of the short circuit current value based on the theorem of Fortescue's theorem related to symmetrical components. Furthermore, a GUI program script is built for short circuit calculations. The GUI success test was carried out by comparing the results of the short circuit analysis with the short circuit calculation program using Matlab and validation by experts. From the results of testing and validation by experts, it can be seen that the program built can complete the calculation of short circuit faults validly. The GUI SCC program can be applied to electric power system analysis learning, with a media validity level of 0.85, which is good for use in learning. In addition, this study also built a simulation for the calculation of class intervals and the practicality of the media using the Simulink Matlab media, the results of the program design were declared by experts to be valid with an average score of 0.8625
Pengaruh Pemeliharaan Predictive Maintenance Terhadap Kinerja Sistem Distribusi di Wilayah Rawan Gangguan Harianja, Rebekha; Tarigan, Adi Sastra P; Anisah, Siti
Jurnal Indragiri Penelitian Multidisiplin Vol. 5 No. 2 (2025): Jurnal Indragiri Penelitian Multidisiplin
Publisher : Indra Institute Research & Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58707/jipm.v5i2.1187

Abstract

Penelitian ini bertujuan untuk mengevaluasi pengaruh penerapan predictive maintenance terhadap kinerja sistem distribusi listrik di wilayah rawan gangguan. Pendekatan yang digunakan adalah kuantitatif berbasis regresi dengan indikator utama SAIDI (System Average Interruption Duration Index) dan SAIFI (System Average Interruption Frequency Index). Hasil menunjukkan bahwa predictive maintenance secara signifikan meningkatkan keandalan sistem, menurunkan durasi dan frekuensi gangguan, serta mengoptimalkan efisiensi operasional. Koefisien determinasi sebesar 92,2% mengindikasikan bahwa predictive maintenance memiliki peran dominan dalam meningkatkan performa sistem distribusi. Rekomendasi utama meliputi optimalisasi teknologi berbasis IoT, pelatihan teknisi, dan perluasan cakupan pemantauan. Temuan ini menegaskan bahwa pemeliharaan berbasis Predictive Maintenance telah terbukti memberikan dampak yang positif terhadap kinerja sistem distribusi, terutama di wilayah yang rawan gangguan. Dengan mengurangi gangguan, meningkatkan keandalan, serta memberikan penghematan biaya, Predictive Maintenance menawarkan solusi yang efektif serta efisien guna meningkatkan kualitas pelayanan distribusi energi. Namun, tantangan terkait biaya awal dan kesiapan infrastruktur tetap harus diperhatikan untuk memaksimalkan manfaat dari strategi ini.