• International Journal of Technology (IJTech)
  • Vol 17, No 5 (2026)

Geographic Information System-Adjusted Rural Access Screening Framework for Solar Photovoltaic Intervention Planning in Indonesia

Geographic Information System-Adjusted Rural Access Screening Framework for Solar Photovoltaic Intervention Planning in Indonesia

Title: Geographic Information System-Adjusted Rural Access Screening Framework for Solar Photovoltaic Intervention Planning in Indonesia
Airin Marsaulina Hutabarat, Rinaldy Dalimi, Dr. Ir. Rudy Setiabudy, DEA., -Ing. Budi Sudiarto, S.T., M.T.

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Cite this article as:
Hutabarat, A. M., Dalimi, R., Setiabudy, R., & Sudiarto, B. (2026). Geographic information system-adjusted rural access screening framework for solar photovoltaic intervention planning in indonesia. International Journal of Technology, 17 (5), 1977–1996


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Airin Marsaulina Hutabarat Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, Indonesia
Rinaldy Dalimi Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, Indonesia
Dr. Ir. Rudy Setiabudy, DEA. Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, Indonesia
-Ing. Budi Sudiarto, S.T., M.T. Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, 16424, Indonesia
Email to Corresponding Author

Abstract
Geographic Information System-Adjusted Rural Access Screening Framework for Solar Photovoltaic
Intervention Planning in Indonesia

Rural solar photovoltaic (PV) intervention planning in archipelagic countries requires more than electrification ratios because road access, inter-island logistics, construction burden, solar resource, and local intervention need shape the remaining underserved settlements. This study develops a provincial screening framework for rural PV intervention planning in Indonesia by adapting the Rural Access Index (RAI) into a Geographic Information System (GIS)-adjusted Rural Access Index (ARAI) as an implementation-difficulty layer. The method estimates ARAI and road access deficit (RAD) using a 2-km road buffer, rural population masks, national road-condition scenarios, selected OpenStreetMap regency roads, and a port-access sensitivity layer. ARAI/RAD is then combined with underdeveloped-village status, household electricity deficit, non-utility household reliance, remote-village irradiation, and the Construction Cost Index (CCI) to construct the intervention need, solar suitability, implementation difficulty, and planning typology. The results show that the mean ARAI ranges from 45.8% in the baseline scenario to 53.0% in the most inclusive scenario, confirming persistent rural road-access constraints. The rural population mask affects ARAI more than the International Roughness Index threshold or port layer. The most access-constrained screening contexts include parts of Kalimantan, Nusa Tenggara, Maluku, and Papua, while the final typology separates near-term candidates, strategic candidates requiring logistics and subsidy support, design-check provinces, solar-opportunity provinces, and monitoring groups. The typology is a robust provincial prefeasibility tool based on weight-sensitivity and qualitative validation checks. The contribution of this study is a transferable ARAI-based framework that links rural accessibility, electricity need, solar suitability, and implementation burden before conducting feasibility studies at the village level.

Archipelagic rural electrification; Geospatial analysis; Off-grid solar photovoltaic; Rural Access Index; Rural energy planning

Supplementary Material
FilenameDescription
R1-EECE-8726-20260930093823.jpg Figure S1
R1-EECE-8726-20260930093853.png Figure S2
R1-EECE-8726-20260930093919.docx Table T1
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