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All Journal Jurnal Belantara Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Hafizh, Surya
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science

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High-Resolution Rooftop Solar PV Potential Assessment Using an Open-Source Remote Sensing Data and Cloud Computing: A Case Study in Padang Utara Subdistrict Hafizh, Surya; Prarikeslan, Widya
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 19 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/inderaja.v19i2.8800

Abstract

High-resolution assessment of rooftop solar photovoltaic (PV) potential in urban areas is often constrained by the high cost of commercial data like LiDAR and the computational intensity of analyzing complex geometries. This study develops and applies a novel, fully open-source remote sensing workflow that leverages cloud computing to overcome these limitations. The methodology integrates open-source building and canopy height data to generate a Digital Surface Model (DSM) and introduces a novel Urban Geometric Correction Factor (UGCF). The UGCF combines a multi-temporal Shading Factor, calculated efficiently in Google Earth Engine (GEE), with a Sky View Factor (SVF) to realistically model solar irradiance on individual rooftops. Applied to the complex urban morphology of Padang Utara, Indonesia, the workflow identified significant potential, with 47.17% of viable rooftops classified as 'Optimal' or 'Very Optimal', with a radiation value range of 758.8–848.63 kWh/m²/year. Spatially, the highest potential is concentrated in lower-profile residential areas, not necessarily on the tallest buildings, Critically revealed that internal roof shading is a dominant limiting factor for large buildings. This research presents a cost-effective and replicable methodology, contributing a significant tool for detailed urban solar potential assessment and supporting data-driven sustainable energy planning.
ASSESSING COFFEE ECOTOURISM STRENGTHS AND CHALLENGES IN CIBULAO VILLAGE THROUGH STORY MAPS Hafizh, Surya; Caesario, Dipo; Tanjung, Anisha Syafitri; Zakiah, Rizki; Novita, Silvia; Sonya, Dhea; Cahyadi, Yunaldo Dwi; Azzahra, Rivantia
Jurnal Belantara Vol 9 No 1 (2026)
Publisher : Forestry Study Program University Of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbl.v9i1.1187

Abstract

Cibulao Village has significant potential for ecotourism development, particularly through coffee cultivation. However, this potential requires strategic planning and effective promotion. This study analyzes the strengths, weaknesses, opportunities, and challenges of coffee ecotourism in Cibulao Village and develops a promotional media that supported by geographic information system using the ArcGIS StoryMaps platform. The methods included interviews, observation, and documentation involving managers, tourists, and the local community. The research results show good potential in developing coffee ecotourism, such as a tourism concept that promotes education on conservation coffee cultivation area and sites but still faces challenges in infrastructure and limited development possibilities due to land ownership and area status. The development of ArcGIS StoryMaps can be an alternative interactive promotional media based on geographic information system technology that is more effective and efficient because it shows the potential strengths, weaknesses, opportunities, and challenges that are depicted in real time tracking map and storytelling.
Co-Authors Azzahra, Rivantia Caesario, Dipo Cahyadi, Yunaldo Dwi Novita, Silvia Sonya, Dhea Tanjung, Anisha Syafitri Widya Prarikeslan Zakiah, Rizki