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Fajar Hendrasto
Fakultas Teknologi Kebumian dan Energi, Universitas Trisakti, Jakarta, Indonesia
Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering

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EKSPLORASI HIDROENERGI BERBASIS GEOLOGI DAN PENDEKATAN MULTIKRITERIA SIG : STUDI KASUS AREA SEMENDE, SUMATERA SELATAN Baskoro Reiza Tri Putra; Fajar Hendrasto; Pulung Arya Pranantya; Benyamin
Petro : Jurnal Ilmiah Teknik Perminyakan Vol. 15 No. 1 (2026): Maret 2026
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/petro.v15i1.25452

Abstract

Abstrak: Penelitian ini mengusulkan kerangka kerja eksplorasi hidroenergi regional yang mengintegrasikan analisis gradien energi berdasarkan DEM, estimasi debit andalan melalui Flow Duration Curve (FDC) yang diturunkan dari neraca air spasial berbasis produk satelit, yaitu Global Precipitation Measurement Integrated Multi-satellite Retrievals for GPM dan Model Operasional Simplified Surface Energy Balance (GPM IMERG dan SSEBop), serta evaluasi geologi-geomorfologi untuk mengindentifikasi segmen sungai yang optimal bagi pengembangan PLTA/PLTM run-off-river. Metode multi-kriteria (GIS_MCE) yang diusulkan menyatukan indikator teknis dan tekno-ekonomi awal (design discharge, net head, LCoE, NPV, IRR) dengan bobot yang mencerminkan prioritas investor. Studi kasus di area Semende , Sumatera Selatan, menunjukkan bahwa kombinasi gradien energi tinggi dan litologi lunak atau akses buruk menunjukkan biaya konstruksi dan Levelized Cost of Energy (LCoE) yang tidak kompetitif. Kerangka ini dapat menjadi alat screening valid untuk memfokuskan survei lapangan dan menurunkan biaya pre-feasibility.  Abstract: This study proposes a regional hydroenergy exploration framework that integrates energy gradient analysis based on DEM, reliable discharge estimates derived from Flow Duration Curves (FDC) using satellite-based spatial water balances Global Precipitation Measurement Integrated Multi-satellite Retrievals for GPM and Model Operational Simplified Surface Energy Balance (GPM IMERG and SSEBop), and geological-geomorphological evaluation to identify river segments optimal for run-off-river hydroelectric power plant (HPP) development.  The proposed multi-criteria method (GIS-MCE) combines initial technical and techno-economic indicators (design discharge, net head, LCoE, NPV, IRR) with weights that reflect investor priorities. A case study in the Semende Area, South Sumtaera, shows that the combination of a high energy gradient and competent volcanic lithology yields the highest feasibility score, whereas locations with soft lithology or poor access exhibit uncompetitive construction costs and Levelized Cost of Energy (LCoE). This framework can be a valid screening tool to focus field surveys and reduce pre-feasibility costs. 
PENDEKATAN MULTI-KRITERIA BERBASIS GIS UNTUK PENILAIAN RISIKO ESG PADA PEMBANGUNAN PLTA SEMENDE, SUMATERA SELATAN Teguh Eko Sulistiyanto; Fajar Hendrasto; Suherma Dwi Nuryana; Benyamin; Moehammad Ali Jambak
Petro : Jurnal Ilmiah Teknik Perminyakan Vol. 15 No. 1 (2026): Maret 2026
Publisher : Jurusan Teknik Perminyakan Fakultas Teknologi Kebumian dan Energi Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/petro.v15i1.25604

Abstract

Run-of-river hydropower development has increasingly attracted attention as part of Indonesia's renewable energy transition. However, many projects encounter challenges due to insuffisient integration of sustainability aspects, particurlarly Environmental, Social, and Governance (ESG) considerations. Geohazard risks such as landslides, flash floods, and tectonic activity, along with environmental impacts including erosion, sedimentation, and land cover change, are often overlooked during the early planning stages. This research aims to develop a GIS-based ESG risk assement framework using a Multi Criteria Evaluation (MEC) approach. The variables considered include geohazard factors (slope, lithology, rainfall, active faults) environmental factors (land cover change, erosion potential, habitat conditions), and socio-economic factors (proximity to settlements, inftasructure, and land use patterns). The datasets used include Digital Elevation Model (DEM), geological maps, sattelite imagery, demographic and infrastructure data. The expected results are an ESG risk index and spatial risk maps that can prioritize sustainable sites for run-of-river hydropower development. This approach is anticipated to help developers, consutants, and policymakers identify projects that are not only technically and financially viable but also geohazard-reslient, environentally sound, and socially acceptable.  
Co-Authors Baskoro Reiza Tri Putra Benyamin Moehammad Ali Jambak Pulung Arya Pranantya Suherma Dwi Nuryana Teguh Eko Sulistiyanto