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All Journal Energi & Kelistrikan TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Journal Zetroem
Alex Fernandes
Institut Teknologi PLN
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Penurunan Nilai Tara Kalor PLTGU Untuk Meningkatkan Pangsa Pasar Perusahaan Pembangkit Listrik Menggunakan Simulasi Sistem Dinamik Alex Fernandes; Dwi Anggaini
Energi & Kelistrikan Vol 13 No 1 (2021): Energi dan Kelistrikan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Teknik PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/energi.v13i1.1091

Abstract

Pangsa pasar suatu perusahaan pembangkit tenaga listrik ditentukan berdasarkan kontribusi daya mampu neto dengan mekanisme tata niaga listrik, melalui kompetisi harga energi listrik dan kesiapan daya mampu pembangkit atau dikenal dengan merit order pembangkit yang berdasarkan efisiensi pada pembangkit. Salah satu perusahaan pembangkit listrik telah mengalami penurunan pangsa pasar di Jawa Bali sampai dengan 2015 hanya tinggal 22%. Penelitian ini bertujuan untuk membangun model yang dapat menyajikan gambaran visual tentang hubungan parameter – parameter teknis dan keuangan yang saling berpengaruh dalam mengidentifikasi peluang-peluang teknik yang dapat menurunkan tara kalor pembangkit serta mengukur tingkat risiko masing-masing peluang. Selanjutnya model akan dikembangkan menggunakan sistem dinamik untuk memberikan gambaran kepada stakeholder tentang kinerja operasi dan keuangan dari peningkatan nilai tara kalor pembangkit pada profitabilitas perusahaan. Studi kasus adalah di PLTGU Priok blok 1 dan blok 2. Peluang teknik terhadap empat teknologi terbaru pembangkit dapat menurunkan nilai tara kalor pembangkit sebesar 10,369%. Sistem dinamik yang dibuat menunjukkan bukti adanya hubungan antara kenaikan pendapatan operasional dengan penurunan nilai tara kalor PLTGU Priok.
Pemanfaatan Listrik Tenaga Surya Sebagai Pasokan Listrik Untuk Menghidupkan Mesin Pompa Air Masyarakat Dusun Cilatak, Desa Sukadana, Kecamatan Ciomas, Kabupaten Serang, Banten Dewi Purnama Sari; Novi Kurniasih; Alex Fernandes
Terang Vol 3 No 1 (2020): TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/terang.v3i1.1019

Abstract

The Community Service program activity of the Electricity and Renewable Energy Faculty lecturer team at the PLN Technology Institute for the 2019/2020 fiscal year was carried out in Sukadana village, Ciomas district, Serang region, Banten precisely at RT 011 RW 003 Cilatak hamlet. The selection of Sukadana village as a place to implement Community Service is because this village is still experiencing problems in the construction and development facilities and infrastructure. The problems that are currently being experienced by villagers regarding the clean water distribution for ablution of villagers in the mosque. During this time for ablution in mosque, villagers only rely on water from mountain springs whose distribution relies on gravitational pressure through a plastic hose and accommodated in a large tub located beside the mosque. In addition to being used for ablution, water is also used by villagers to bathing, washing, etc., so that when used for ablution sometimes it is no longer clean because it has been mixed with soapy water used for bathing and washing. Based on those problems, our team provided solution to partner in the form of infrastructure development and clean water supply by reconfiguring the clean water distribution installation for ablution in the mosque by installing solar water pump. The method used in the implementation of this Community Service activity is to approach the villagers during the survey through interviews by providing solution to the problem and conducting questionnaires and socialization in the form of a brief education. The results of the activities have been done by installing 2 units of DC water pump @180 Watt, 4 units of polycrystalline solar modules @100 Wp, 2 units of battery @100 Ah 12 V and 2 units of solar charge controller. With the implementation of Community Service activities in Sukadana village, aside from being able to help overcome the problems faced by partner, besides that it can provide progress and development of infrastructure for partner village and the existence of a partnership that makes that village as IT PLN assisted village.
Analysis of Overloading Impact on Harmonic Content and Loss of Life in Distribution Transformers Kartika Tresya M; Alex Fernandes; Welly Okke; Nurmiati Pasra⁠; Samsurizal; Tony Koerniawan
ZETROEM Vol 8 No 2 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i2.8136

Abstract

In the wake of Indonesia’s accelerating power infrastructure growth, maintaining distribution system integrity is essential to meet the increasing electricity demand from both residential and industrial sectors. This study investigates the operational performance of the PGCE distribution transformer at the Lemah Abang Customer Service Unit (ULP), which experienced severe overloading with a peak loading of 113.82%, exceeding the maximum allowable loading limit of 80% specified in SE No. 0017.E/DIR/2014. The overload condition resulted in excessive thermal stress and a 17% voltage drop, exceeding the permissible service voltage variation specified in SPLN 1:1995. To address these problems, a load-splitting strategy was implemented through the installation of an SNTR insertion transformer. A comparative quantitative (before–after) analysis was conducted using field measurement data to evaluate transformer loading, voltage drop, and transformer loss of life before and after the technical intervention. The results show that the loading of the PGCE distribution transformer was reduced to approximately 76–77%, restoring its operation to within the recommended loading limit. In addition, the voltage drop decreased from 17% to 4.5%, satisfying the service voltage requirement of +5% to −10%. The reduction in transformer loading also lowered thermal stress on the winding insulation, thereby reducing the transformer loss of life and improving asset reliability. These findings demonstrate that load splitting combined with the installation of an insertion transformer is an effective engineering solution for mitigating transformer overloading, improving voltage quality, and extending transformer service life. 
Image-Based Spatial Shading Analysis for Power Performance Degradation in Photovoltaic Systems Andi Makkulau; Ramlah; Alex Fernandes; Syaripudin Ardiansyah
ZETROEM Vol 8 No 2 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i2.8306

Abstract

Partial shading is one of the dominant causes of energy performance degradation in static photovoltaic (PV) systems, especially in tropical environments where dust accumulation and vegetation growth frequently occur. Conventional shading analysis in photovoltaic energy studies is commonly conducted using geometric simulation or irradiance‑based modelling without explicitly identifying physical shading objects on the PV surface. This paper proposes a computer vision‑based approach to quantitatively detect shading objects and statistically evaluate their impact on PV energy performance. A Python–OpenCV framework was developed to calculate pixel‑based shading area on a 10 Wp static PV module. Electrical parameters including voltage, current, and output power were experimentally measured under shading levels ranging from 10% to 100%. Statistical analyses consisting of Pearson correlation, linear regression, significance testing, and one‑way Analysis of Variance (ANOVA) were applied. The results show a very strong negative correlation between shading area and both current and power output (r = −0.98, p < 0.001). Linear regression indicates that shading area explains 96.1% of current variation (R² = 0.961), while ANOVA confirms statistically significant differences in energy output across shading levels (p < 0.01). These findings demonstrate that computer vision‑based shading quantification provides a statistically robust and energy‑oriented framework for analysing performance degradation in static photovoltaic systems.
Co-Authors Anggaini, Dwi DEWI PURNAMA SARI Kartika Tresya M Makkulau, Andi NOVI KURNIASIH Nurmiati Pasra⁠ Ramlah Samsurizal Samsurizal Syaripudin Ardiansyah Tony Koerniawan Welly Okke