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All Journal Arcitech: Journal of Computer Science and Artificial Intelligence
Angga Dwi Prasetyo
Universitas Atma Jaya Yogyakarta
Computer Science & IT

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Analisis Hubungan Tipologi Bangunan terhadap Efek Urban Heat Island Berbasis Sistem Informasi Geografis dengan Overlay Heatmap: Studi Kasus Gondokusuman, Yogyakarta Angga Dwi Prasetyo
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 5 No. 2 (2025): December 2025
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v5i2.14099

Abstract

The Urban Heat Island (UHI) phenomenon is a critical environmental issue in tropical urban areas such as Yogyakarta, especially in dense zones with diverse building typologies. This study aims to analyze the relationship between building typology and UHI intensity using a spatial approach powered by Python. Land surface temperature data were extracted from Landsat 8 imagery, while building typologies were classified based on spatial functions (residential, commercial, mixed-use, and public). Through overlay analysis and heatmap visualization, it was found that commercial and mixed-use buildings exhibited the highest surface temperatures (up to 34.2 °C), while residential and vegetated public facilities showed lower temperatures (around 27–29 °C). The open-source-based approach (GeoPandas, Rasterio, Folium) proved effective for spatial mapping and correlational analysis. This research contributes significantly to thermal mitigation strategies based on building morphology and supports adaptive planning for tropical cities facing microclimate change.
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