Analisis Hubungan Tipologi Bangunan terhadap Efek Urban Heat Island Berbasis Sistem Informasi Geografis dengan Overlay Heatmap: Studi Kasus Gondokusuman, Yogyakarta
DOI:
https://doi.org/10.29240/arcitech.v5i2.14099Keywords:
Urban Heat Island, Python, Heatmap, Building Typology, Spatial AnalysisAbstract
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.
Downloads
References
Dahrma, A., Yusuf, M., & Wibowo, A. (2019). Kualitas RTH perkotaan berbasis Urban Surface Temperature sebagai antisipasi terbentuknya Urban Heat Island di Kota Kendari. Jurnal Ilmu Lingkungan, 17(2), 101–112.
Fauzia, R., Irwan, M., & Handoko, B. D (2021). Evaluasi fenomena Urban Heat Island di Kota Semarang menggunakan data satelit. Jurnal Geografi, 15(2), 150-162.
Fawzi, A. (2017). Mengukur Urban Heat Island menggunakan penginderaan jauh dan pengaruhnya terhadap kualitas lingkungan di Kota Yogyakarta. Jurnal Geografi Lingkungan, 9(1), 45–55.
Fitria, M., & Setyowati, N. (2020). Kajian spasial UHI dan potensi intervensi desain arsitektural. Jurnal Arsitektur dan Urbanisme, 15(1), 55-64.
Hakim, B., & Pertiwi, A. (2023). Pemanfaatan pemrograman Python dalam analisis suhu perkotaan berbasis raster. Jurnal Teknologi Informasi Geospasial, 3(1), 12-23.
Kartikawati, D., & Kusumawanto, A. (2013). Kajian Urban Heat Island di Kota Yogyakarta. Jurnal Arsitektur Komposisi, 7(2), 88–97.
Kasniza Jumaria, N., Samat, N., & Omar, D. (2023). Analysis of urban heat islands with Landsat satellite images and GIS in Kuala Lumpur. Geografia: Malaysian Journal of Society and Space, 19(1), 45–60.
Kurniawan, D., & Setiawan, Y. (2020). Studi perubahan suhu permukaan di Kota Bandung menggunakan citra Landsat multitemporal. Jurnal Geodesi Indonesia, 9(1), 15-26.
Lazuardi, A., & Wahyudi, H. (2022). Perbandingan suhu permukaan antara kawasan permukiman formal dan informal di Jakarta. Jurnal Tata Kota, 10(2), 102-115.
Liu, Y., Wang, Z., & Zhang, H. (2023). How urban morphology relates to the urban heat island effect: A multi-indicator study. Urban Climate, 47, 101397.
Lu, D., Zhang, Y., & Xu, J. (2023). Python-based urban heat island mapping using Landsat and open-source GIS. Remote Sensing of Urban Systems, 12(3), 144-160.
Munsyi, R. (2024). Analisis temporal Urban Heat Island menggunakan Google Earth Engine di Kota Banjarmasin. Jurnal Teknologi dan Sains Atmosfer, 12(1), 34–48.
Mustaqim, M. (2020). Efektivitas vegetasi dan ruang terbuka hijau dalam mereduksi efek Urban Heat Island. Jurnal Arsitektur Topis, 8(1), 43-52.
Mustikarini, A., Nugraha, D., & Sukamto, B. (2022). Hubungan antara indeks kekeringan meteorologis (SPI) dengan Urban Heat Island di Kabupaten Sleman. Jurnal Meteorologi dan Geofisika, 10(3), 71–80.
Nucifera, M., Siregar, D. R., & Rahmadi, A. (2022). Mitigasi kawasan perkotaan tropis berbasis lanskap: Studi komparatif Surabaya dan Makassar. Planologi Kota, 11(1), 87-98.
Pramono, H., & Astuti, R. (2021). Pengaruh indeks vegetasi terhadap suhu permukaan perkotaan menggunakan penginderaan jauh. Jurnal Sains Geomatika, 17(3), 77–89.
Puspitasari, N., & Hidayat, T. (2022). Strategi penataan kawasan padat penduduk untuk mitigasi UHI. Jurnal Perencanaan Wilayah, 14(2), 133–147.
Rakhmawati, T., & Ramdhan, M. (2022). Implementasi vegetasi vertikal dalam mitigasi Urban Heat Island di kawasan pusat kota. Jurnal Lanskap dan Lingkungan, 5(1), 22–31.
Rakin Abrar, M., Haque, R., & Rahman, M. M. (2022). Assessing the spatial mapping of heat vulnerability under Urban Heat Island in Dhaka. Sustainable Cities and Society, 81, 103830.
Ramdhan, M. R., Fajarwati, F., & Hartini, E. (2025). Persepsi masyarakat terhadap Urban Heat Island dan adaptasi di kawasan perkotaan Indonesia. Jurnal Sosial dan Lingkungan, 13(1), 22–38.
Siregar, S., & Purnomo, R. (2021). Analisis spasial efek Urban Heat Island di kawasan perkotaan tropis. Jurnal Teknik Lingkungan, 18(1), 25–34.
Siswanto, D., Santosa, E. S., & Nugroho, P. (2023). Spatio-temporal characteristics of urban heat island of Jakarta metropolitan. Journal of Urban and Regional Analysis, 15(1), 14–27.
Suparno, H. (2022). Identifikasi perubahan fungsi bangunan dan dampaknya terhadap iklim mikro kawasan. Jurnal Tata Ruang dan Wilayah, 12(1), 61–72.
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2025 Angga Dwi Prasetyo

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with Arcitech: Journal of Computer science and Artificial Intelligence agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).







