Article Per Year (5 Year)
p-Index From 2021 - 2026
3.832
P-Index
This Author published in this journals
All Journal Jurnal Spektran Rekayasa Mesin Jurnal Wilayah dan Lingkungan Jurnal Serambi Engineering TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Indonesian Journal for Social Responsibility Unri Conference Series: Community Engagement Jurnal Sosial dan Teknologi Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Ilmiah Multidisiplin Indonesia Journal Serambi Engineering (JSE) Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Brunner, I Made Indradjaja
Institut Teknologi Perusahaan Listrik Negara
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Integrasi Sistem Pengolahan Data Pengukuran Energi Berbasis Scada Dan Kwh Meter: Studi Empiris Pada Trafo Distribusi Ikhwani Faqih; I Made Indradjaja Marcus Brunner; Joko Muslim
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 2 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i2.1494

Abstract

Meningkatnya kebutuhan akan distribusi energi listrik yang andal, efisien, dan akurat mendorong penerapan teknologi pemantauan serta pengendalian yang semakin canggih. Penelitian ini bertujuan untuk menganalisis pengaruh penggantian transduser konvensional dengan digital power meter terhadap validitas data pengukuran energi listrik, khususnya pada kWh meter yang dijadikan acuan. Studi dilakukan dengan pendekatan empiris pada trafo distribusi di Gardu Induk, melalui analisis dua sampel data yang dibandingkan menggunakan metode statistik Z-test, yaitu data load profile kWh meter dan log sheet SCADA. Penelitian juga menganalisis data SCADA sebelum dan sesudah integrasi dengan digital power meter dan kWh meter digital (smart meter) untuk menilai perbedaan akurasi pengukuran. Selanjutnya, ditelaah juga efektivitas akuisisi data secara real-time, peningkatan akurasi pengolahan data, serta interoperabilitas antar sistem. Hasil analisis menunjukkan bahwa integrasi SCADA dengan smart meter mampu meningkatkan akurasi pembacaan telemetering dan menghilangkan deviasi terhadap pengukuran energi aktual yang tercatat pada kWh meter. Integrasi ini berkontribusi dalam mendukung sistem distribusi tenaga listrik yang lebih modern, efisien, dan berbasis digital. Dengan demikian, studi ini memberikan kontribusi signifikan terhadap akurasi pengukuran SCADA dan pengembangan infrastruktur smart grid di Indonesia, serta memperkuat implementasi sistem pemantauan energi berbasis teknologi digital pada jaringan distribusi listrik.
Performance Optimization Analysis of a 20 Kilo Volt (kV) Distribution Network in Dili City Using ETAP Software Zil Nunes Pinto; Herry Nugraha; I Made Indradjaja M. Brunner
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 16 No. 1 (2026): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (January-May 2026 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v16i1.1612

Abstract

The 20 kV power distribution network in Dili City faces technical challenges in the form of voltage drop and relatively high feeder loading levels, particularly on feeders with long distribution routes. The Dili City distribution network has a configuration centralized to a single power supply source, namely the Camea Substation, which limits the ability to transfer loads. This research aims to analyze the existing condition and to evaluate the effect of adding a new substation in the Comoro area on improving network performance. This research uses a power flow simulation–based approach employing ETAP software. The results show that under existing conditions, buses at the end of the lines experience voltage drops below the allowable standard of up to 14.30%, and four feeders have loading levels exceeding 75%. The addition of the Comoro Substation and network reconfiguration significantly improve the voltage profiles of the distribution system, ensuring compliance with SPLN 72:1987. The loading level of the Camea Substation decreases to 72% of its capacity due to the reduction of feeder load, increasing the capability for load transfer and accommodating future load growth.
Inflow Prediction System and Grindulu Hydropower Production Optimization using The Bi-LSTM Seq2Seq Quantile Regression Model Moch. Taofik Ma’mur; I Made Indradjaja Marcus Brunner
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 5 No. 08 (2026): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), August 2026
Publisher : Sean Institute

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

Abstract

The Grindulu PS Hydroelectric Power Plant is one of the hydroelectric power plants that relies on the flow of the Grindulu River as its primary energy source. Due to the irregularity of water discharge, particularly at its lowest point during the dry season, the Grindulu PS Hydroelectric Power Plant is planned to be constructed using variable speed drive (VSD) technology [1], [2]. The objective of this study is to analyze the hydrological and hydraulic data of the Grindulu River to determine the annual water discharge profile, particularly during the dry season; to analyze the minimum potential for electricity generation from the Grindulu PS Hydroelectric Power Plant based on the lowest available discharge; and to analyze the Variable Speed Drive (VSD) system of the Grindulu PS Hydroelectric Power Plant in optimizing electricity generation under minimum discharge conditions during the dry season. This study is a quantitative-predictive analysis aimed at modeling inflow predictions at the proposed site for the Grindulu Hydropower Plant, which is planned to utilize a pumped-storage system. The prediction model used is the Bi-Directional Long Short-Term Memory Sequence-to-Sequence (Bi-LSTM Seq2Seq) with a Quantile Regression (QR) approach to generate inflow estimates at various levels of uncertainty (q10, q50, and q90) [3]. The research results show that the flow characteristics of the Grindulu watershed are dominated by relatively constant low-flow conditions throughout the year, particularly during the dry season, as indicated by the q50 and q90 flow values, which are both 1.021 m³/s. This indicates that the flow is dominated by baseflow and that high-flow events occur only for limited periods. With a minimum flow potential and a reservoir system design flow of 242 m³/s, a generation capacity of +1,000 MW can be achieved by utilizing the water stored in the upper reservoir. At the Grindulu River Basin hydroelectric power plant, the VSD system allows for more flexible and efficient operation of the pump-turbines, ensuring that power generation remains normal even under minimum flow conditions. The analysis results indicate that the hydraulic technical parameters that need to be considered in supporting the implementation of the VSD system under minimum flow conditions are water flow, effective head, reservoir water level fluctuations, turbine efficiency, and flow stability [2].
Analisis Tekno-Ekonomi PLTS on-Grid dan Battery Energy Storage System untuk SPKLU di Rest Area Jalan Tol KM 57 dan KM 164b Asep Akbar Azhari; I Made Indradjaja Marcus Brunner
Jurnal Sosial Teknologi Vol. 6 No. 8 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i8.32968

Abstract

Pertumbuhan kendaraan listrik meningkatkan kebutuhan Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) yang andal, terutama pada rest area jalan tol. Penelitian ini menganalisis pemanfaatan PLTS on-grid dan Battery Energy Storage System (BESS) untuk mendukung operasional SPKLU di Rest Area KM 57 Jalan Tol Jakarta–Cikampek dan KM 164B Jalan Tol Cikopo–Palimanan. Metode kuantitatif-deskriptif mengintegrasikan analisis spasial ArcGIS Pro, data potensi energi surya Global Solar Atlas, kebutuhan energi SPKLU, penentuan kapasitas PLTS dan BESS, skema zero export, serta analisis ekonomi. Luasan potensial mencapai 3.437,001 m² di KM57 dan 4.394,434 m² di KM164B. Kebutuhan energi tahunan masing-masing 84.279 dan 37.979 kWh, sedangkan specific PV output sebesar 1.447,2 dan 1.481,7 kWh/kWp/tahun. Kapasitas PLTS yang direkomendasikan adalah 58,30 kWp (106 modul 550 Wp) dan 25,85 kWp (47 modul), menghasilkan 84.371,76 dan 38.301,95 kWh/tahun. BESS yang direkomendasikan sebesar 500 kW/700 kWh dan 60 kW/100 kWh untuk fungsi backup dan peak shaving. Dengan umur proyek 25 tahun dan discount rate 10%, skenario PLTS tanpa BESS menghasilkan NPV Rp46.113.530 dan IRR 10,95% di KM57 serta NPV Rp25.843.379 dan IRR 11,20% di KM164B. LCOE masing-masing Rp1.355,35/kWh dan Rp1.333,58/kWh, lebih rendah dari tarif PLN Rp1.444,70/kWh. Skenario PLTS+BESS belum layak secara finansial akibat dominasi biaya baterai. Hasil menunjukkan PLTS berbasis kebutuhan beban layak secara marginal, sedangkan BESS lebih tepat diposisikan sebagai investasi keandalan, backup, dan peak shaving.
Co-Authors Angelica Angelica Arief Norhidayat Ariwibawa, Yunisetya Asep Akbar Azhari Barkah Alif Bintang Dewan Tomo Dewi Meilasari Sugiana, Astrid Dhami Johar Dhamiri Diantari, Retno Aita Eko Sarwono Hermiyetti Hernani Yulinawati Herry Nugraha Hery Diansyah Ibnu Hajar Ibnu Hajar Ikhwani Faqih Joko Muslim Jumiati Jumiati Jumiati Jumiati Jumiati Jumiati Martin Choirul Fatah Martin Choirul Fatah Moch. Taofik Ma’mur Nella Sajida Talfa Rostiyanti, Susy Fatena Sandra Madonna Satria M. Brunner Sembiring, Elsa Try Julita Soetjipto Soewono Syarif Hidayat Tasdik Darmana Yuliansyah Yuliansyah Yuliansyah Yuliansyah Yuliansyah Yuliansyah Zaenal Zaenal Zil Nunes Pinto