p-Index From 2021 - 2026
4.821
P-Index
Claim Missing Document
Check
Articles

Generation Expansion Planning: A Bibliometric Review Sunanda, Wahri
Journal of Engineering and Scientific Research Vol. 7 No. 1 (2025)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v7i1.199

Abstract

Generation expansion planning is a prominent topic of energy-related scientific discourse. Due to operational constraints, the penetration of renewable energy sources, and uncertainty, there have been numerous changes in the planning of generation expansion. This article provides a bibliometric analysis of recent research on generational expansion planning. Relevant authors, sources, terms, disciplines, and conceptual analysis are used for bibliometric analysis. This bibliometric is based on a Scopus database data set for the years 2013 to 2023.
PEMASANGAN PENERANGAN JALAN UMUM (PJU) BERBASIS SEL SURYA DI DUSUN SANGGRAHAN, DESA MUNTUK, KECAMATAN DLINGO, KABUPATEN BANTUL Harry Prabowo; Arbye S; Wahri Sunanda
Jurnal Riset Daerah Vol 23 No 2 (2023): JURNAL RISET DAERAH
Publisher : Badan Perencanaan Pembangunan Daerah Kabupaten Bantul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64730/jrdbantul.v23i2.99

Abstract

Sanggrahan 1 Hamlet is one of the areas in Muntuk Village, Dlingo District, Bantul Regency. One of the obstacles faced by the Sanggrahan 1 hamlet community is limited access to street lighting at several points in their area, resulting in limited community activities and mobility. Through community service activities which are the implementation of the Tri Dharma of University, the Department of Electrical Engineering and Information Technology (DTETI), Faculty of Engineering, Gadjah Mada University, initiated a program to install PJUTS of LED lights at 12 points in the area. In general, this activity uses a participatory and collaborative approach, where the village government, community, and also universities work together to solve problems that occur in social life. The installation of PJUTS must have a significant impact. Better street lighting opens up new opportunities for community activities at night, improve safety, and support mobility. The installation of PJUTS also increased productivity and economic progress in Dusun Sanggrahan 1
Intelligent Fault Detection In a 25 MVA Transformer Using ANFIS Zakri, Azriyenni; Firdaus, Hari; Ihsan, Boy; Usman, Jafaru; Sunanda, Wahri
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 13 No 1 (2026): Jurnal Ecotipe, April 2026
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v13i1.4580

Abstract

This study aims to develop an intelligent fault prediction model for a 25 MVA power transformer using the Adaptive Neuro-Fuzzy Inference System (ANFIS), to improve classification accuracy and ensure selective, reliable protection decisions in power systems. The research is grounded in the limitations of traditional differential relay protection, which struggles to distinguish between internal and external faults during transient conditions. ANFIS combines fuzzy logic’s ability to handle uncertainty with the adaptive learning of neural networks, making it a suitable tool for non-linear fault data analysis. A simulation was carried out in MATLAB/Simulink. Current signals from CTs on both primary and secondary sides served as input features. The model was trained using 270 data samples and tested with 30 samples. Two membership functions generalized bell-shaped (Gbell) and triangular (Tri) were evaluated. RMSE was used as the performance metric. The ANFIS model with Gbell MF yielded a lower RMSE (0.0116) compared to Tri MF (0.0445), indicating better prediction accuracy and stability. The system consistently identified internal faults (output 1), and external faults (output 0) based on a 0.5 decision threshold. The findings validate the potential of ANFIS for integration into digital relay systems, enhancing real-time transformer protection through adaptive learning.
Statistical Performance Analysis of a 20 kV Circuit Breaker at Bangka Substation Tiara Dela Putri; M. Yonggi Puriza; Asmar Asmar; Wahri Sunanda
Jurnal Inovasi Teknologi Vol 6 No 1 (2025): April
Publisher : Engineering Forum of Western Indonesian Government Universities Board (Forum Teknik, BKS-PTN Wilayah Barat) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study evaluates the performance of 20 kV circuit breakers by analyzing insulation resistance, contact resistance, contact synchronization, leakage current, and power loss. The insulation resistance analysis indicated that phases R and S did not show significant improvement after maintenance, with significance values of 0.065 and 0.166, respectively, while phase T exhibited a significant improvement with a significance value of 0.048. Contact resistance measurements revealed no statistically significant reductions after maintenance, with significance values of 0.209, 0.243, and 0.155 for phases R, S, and T, respectively. Additionally, contact synchronization in the open condition did not experience significant variations, whereas in the closed condition, all phases showed significant declines in synchronization after maintenance, with significance values of 0.003, 0.013, and 0.007. Leakage current analysis at a 20 kV phase-to-ground voltage showed that the highest recorded leakage current was 0.297 mA in the Eks Sumberejo feeder, significantly below the 20 mA threshold. Power loss calculations identified the highest power dissipation in the Depati Hamzah feeder at 69.87 W, with the lowest in the Eks Transmart feeder at 0.376 W. Energy loss assessment further showed the Depati Hamzah feeder experiencing the highest loss at 48.317 kWh, while the Eks Transmart feeder had the lowest at 0.278 kWh. These findings underscore the importance of routine monitoring and targeted maintenance to enhance circuit breaker reliability, optimize operational efficiency, and minimize energy losses in high-voltage electrical networks.