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All Journal Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Dede Eful Ginanjar
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Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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Pemeriksaan Serta Pemeliharaan Pada Rel 1 Bay Saketi Dede Eful Ginanjar; Irwanto Irwanto
Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) Vol. 3 No. 2 (2025): Juni: Jurnal Elektronika dan Teknik Informatika Terapan (JENTIK)
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jentik.v2i2.673

Abstract

This research aims to find out about the main substation, good rails (busbars) in the substation system, and inspection and maintenance of the 1 bay Saketi rail. The place and time for industrial practice is carried out at PT. PLN Persero ULTG Rangkasbitung Jl. Rawasari, West Rangkasbitung, District. Rangkasbitung District. Lebak, Banten Province. The implementation time is from 28 November to 28 December 2022 with 5 working days. In this research it was found that rails (busbars) require protection if used in open areas. This avoids a short circuit if a metal object falls on the positive or negative busbar. At one substation there are several types of busbar configurations, including: (1) single bus; (2) double bus-double breaker; (3) main and transfer buses; (4) double bus-single breaker; (5) ring bus; and (6) break and a half.
Implementasi Adaptive Neuro Fuzzy Inference System (AN-FIS) Dalam Peramalan Evaluasi Konsumsi Listrik Untuk Efisiensi Energi Di Gedung A FKIP UNTIRTA Dede Eful Ginanjar; Desmira Desmira; Irwanto Irwanto
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 6 No. 2 (2026): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v6i2.7636

Abstract

This research is motivated by the use of electrical energy that is not fully in accordance with the Energy Consumption Intensity (IKE) standard, where there are still rooms with excessive or suboptimal energy use. The study aims to evaluate and predict electrical energy consumption in Building A of the Faculty of Teacher Training and Education, Sultan Ageng Tirtayasa University in order to improve energy efficiency. The method used is quantitative research with a comparative approach, namely comparing manual calculations based on the IKE standard with the Adaptive Neuro Fuzzy Inference System (ANFIS) method. Data were obtained through observation and measurement of electrical power, room area, and duration of use which were then analyzed using Matlab with the stages of fuzzification, FIS formation, hybrid learning training, and evaluation using RMSE. The results showed that the ANFIS method produced a better level of accuracy than manual calculations. The lowest error value was obtained in the gbellmf membership function for training at 0.53 and gaussmf for testing at 0.45. These findings indicate that ANFIS is able to model nonlinear relationships effectively and has the potential to be applied as a support system for evaluating electrical energy efficiency
Co-Authors Desmira Desmira Irwanto Irwanto