Fenomena Urban Heat Island dan kaitannya dengan urbanisasi wilayah di Subosukawonosraten

Shabrina Hasna Hayati, Paramita Rahayu, Erma Fitria Rini

Abstract

Fenomena Urban Heat Island (UHI) menjadi tantangan yang cukup penting di wilayah perkotaan mengingat urbanisasi memicu perubahan tutupan lahan dan kenaikan suhu permukaan. Penelitian ini bertujuan untuk menganalisis hubungan urbanisasi terhadap Land Surface Temperature (LST) di Subosukawonosraten pada tahun 2000 dan 2023. Analisis dilakukan dengan pendekatan deduktif kuantitatif yang memanfaatkan data Landsat 5 dan Landsat 8 yang diolah melalui GIS. Analisis makro dilakukan untuk memetakan hubungan tutupan lahan, kerapatan vegetasi, dan kerapatan bangunan terhadap LST, sementara analisis mikro dilakukan untuk mengidentifikasi hotspot (area dengan peningkatan suhu signifikan). Hasil penelitian menunjukkan adanya korelasi positif antara kenaikan kerapatan bangunan dan peningkatan LST, serta korelasi negatif antara penurunan kerapatan vegetasi dengan kenaikan LST. Ditemukan pula bahwa kawasan dengan tipologi ”panas” didominasi oleh kawasan permukiman dan industri sebesar 37% serta kawasan tanaman pangan sebesar 34%. Penelitian ini menyimpulkan bahwa urbanisasi di Subosukawonosraten berkontribusi pada peningkatan LST dan fenomena UHI, sehingga diperlukan strategi pengelolaan wilayah yang lebih berkelanjutan.

Keywords

NDVI; NDBI; Urban Heat Island; Urbanisasi Wilayah

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References

[1]Pawan P. Urbanization and its causes and effects: a review. International Journal of Research and Scientific Innovation 2016;3:110–2.

[2]Mallick S, Paul S, Rout S, Behera rabi narayan. How is peri-urban research evolved towards sustainable urban planning in last five decades: a quantitative analysis and systematic review. Frontiers of Urban and Rural Planning 2025;3:1–34. https://doi.org/10.1007/s44243-025-00070-5.

[3]Sahana M, Ravetz J, Patel PP, Dadashpoor H, Follmann A. Where is the peri-urban? A systematic review of peri-urban research and approaches for its identification and demarcation worldwide. Remote Sens (Basel) 2023;15:1316.

[4]Pamungkas MRF, Sejati AW. Urban Growth and Clustering Surakarta Peri-Urban Area. The Indonesian Journal of Planning and Development 2024;9:42–53.

[5]Lei J, Xie Y, Chen Y, Zhong T, Lin Y, Wang M. The Transformation of Peri-Urban Agriculture and Its Implications for Urban–Rural Integration Under the Influence of Digital Technology. Land (Basel) 2025;14:375.

[6]Gayo APA. Urban Heat Island Pada Kota Industri. EDUSAINTEK: Jurnal Pendidikan, Sains Dan Teknologi 2023;10:212–20.

[7]Lau T-K, Hsu H-C. Urban Heat Island Effect and Unequal Temperature-Related News Attention in Taiwan’s Major Cities. Urban Science 2025;9:417.

[8]Sabitha FA. Analisis pengaruh tingkat urbanisasi terhadap ketersediaan lahan lahan permukiman perumahan di Kota Surabaya. Jurnal Lemhannas RI 2022;10:19–26.

[9]Ghanghermeh A, Roshan G, Asadi K, Attia S. Spatiotemporal analysis of urban heat islands and vegetation cover using emerging hotspot analysis in a humid subtropical climate. Atmosphere (Basel) 2024;15:161.

[10]Cuce PM, Cuce E, Santamouris M. Towards sustainable and climate-resilient cities: mitigating urban heat islands through green infrastructure. Sustainability 2025;17:1303.

[11]Karimi Firozjaei M, Mahmoodi H, Jokar Arsanjani J. Daytime Surface Urban Heat Island Variation in Response to Future Urban Expansion: An Assessment of Different Climate Regimes. Remote Sens (Basel) 2025;17:1730.

[12]Kumar A, Agarwal V, Pal L, Chandniha SK, Mishra V. Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India. J 2021, 4, 420–429 2021.

[13]Solanky V, Singh S, Katiyar SK. Land surface temperature estimation using remote sensing data. Hydrologic Modeling: Select Proceedings of ICWEES-2016, Springer; 2018, p. 343–51.

[14]Wibisono P, Miladan N, Utomo RP. Hubungan Perubahan Kerapatan Vegetasi dan Bangunan terhadap Suhu Permukaan Lahan: Studi Kasus di Aglomerasi Perkotaan Surakarta. Desa-Kota: Jurnal Perencanaan Wilayah, Kota, Dan Permukiman 2023;5:148–62.

[15]Lu Y, Qin Y, Huang C, Pang X. Albedo of Pervious Concrete and Its Implications for Mitigating Urban Heat Island. Sustainability 2023;15:8222. https://doi.org/10.3390/su15108222.

[16]Liu Y, Chu C, ZHANG R, Chen S, Xu C, Zhao D, et al. Impacts of High-albedo Urban Surfaces on Outdoor Thermal Environment across Morphological Contexts: A Case of Tianjin, China. Sustain Cities Soc 2023;100:105038. https://doi.org/10.1016/j.scs.2023.105038.

[17]Kurniati SA, Rahayu P, Istanabi T. Peri-Urbanisasi dan Dinamika Perkembangan Kawasan Perkotaan Sekunder (Studi Kasus: Bosukawonosraten). Desa-Kota: Jurnal Perencanaan Wilayah, Kota, Dan Permukiman 2022;4:167–80.

[18]Sugestiadi MI, Basuki Y, Artikel I. The Influence of Spatial Interaction Between Surakarta City and Its Surrounding Urban Areas on Urban Growth Open Access. Jurnal Pembangunan Wilayah Dan Kota 2020;16:173–86.

[19]Putra AK, Sukmono A, Sasmito B. Analisis hubungan perubahan tutupan lahan terhadap suhu permukaan terkait fenomena Urban Heat Island menggunakan citra landsat (Studi Kasus: Kota Surakarta). Jurnal Geodesi Undip 2018;7:22–31.

[20]Siroj RA, Afgani W, Fatimah F, Septaria D, Salsabila GZ. Metode penelitian kuantitatif pendekatan ilmiah untuk analisis data. Jurnal Review Pendidikan Dan Pengajaran (JRPP) 2024;7:11279–89.

[21]Eris I, Rambe SSU, Wahyuningtiyas L. NDVI Based Vegetation Dynamics in Jember Regency from 2019 to 2024 Using Multitemporal Landsat 8 Imagery. Reinforcement Review in Civil Engineering Studies and Management 2025;4:62–76.

[22]Singh P, Verma P, Chaudhuri A, Singh V, Rai P. Evaluating the relationship between Urban Heat Island and temporal change in land use, NDVI and NDBI: a case study of Bhopal city, India. International Journal of Environmental Science and Technology 2023;21. https://doi.org/10.1007/s13762-023-05141-y.

[23]Guha S, Govil H. An analytical study on urban indices and land surface temperature. Journal of Environmental Engineering and Landscape Management 2024;32:231–40. https://doi.org/10.3846/jeelm.2024.21835.

[24]Wulder M, White J, Goward S, Masek J, Irons J, Herold M, et al. Landsat continuity: Issues and opportunities for land cover monitoring. Remote Sens Environ 2008;112:955–69. https://doi.org/10.1016/j.rse.2007.07.004.

[25]Arif N, Toersilowati L. Monitoring and predicting development of built-up area in sub-urban areas: A case study of Sleman, Yogyakarta, Indonesia. Heliyon 2024;10.

[26]Muhammad D, Mataburu I. Pemetaan kerapatan bangunan pada tahun 2018 dan 2023 menggunakan Normalized Difference Built-Up Index (NDBI) di Kota SukabumiPemetaan kerapatan bangunan pada tahun 2018 dan 2023 menggunakan Normalized Difference Built-Up Index (NDBI) di Kota Sukabumi. Jurnal Sains Geografi 2024;2:31–40. https://doi.org/10.21009/JSG.v2i1.06.

[27]Ullah N, Siddique MA, Ding M, Grigoryan S, Khan IA, Kang Z, et al. The impact of urbanization on urban heat island: Predictive approach using Google Earth Engine and CA-Markov modelling (2005–2050) of Tianjin City, China. Int J Environ Res Public Health 2023;20:2642.

[28]Fitri M, Triyatno T. UTILIZATION OF REMOTE SENSING FOR LAND SURFACE TEMPERATURE (LST) DISTRIBUTION MAPPING IN SOLOK CITY IN 2021. International Remote Sensing Applied Journal 2023;2:20–30. https://doi.org/10.24036/irsaj.v2i1.22.

[29]M I, M. W. Afgani, A. Haqqi, I. Azhari. Techniques of normality testing in quantitative research: Approaches and implications for parametric analysis. J-CEKI: Jurnal Cendekia Ilmiah 2025.

[30]Punit. Analisis overlay sebagai metode penggabungan beberapa lapisan data spasial dalam GIS. Jurnal Geodesi Undip 2023.

[31]Javanmardi M, Haghighi AT, Firoozabadi SR. Urban Heat Island mapping based on land surface temperature and statistical thresholding: A case study in Tehran, Iran. Int J Remote Sens 2023;44:1768–89. https://doi.org/10.1080/01431161.2023.XXXXXXX.

[32]Mondal D, Banerjee A. Exploring peri-urban dynamism in India: Evidence from Kolkata Metropolis. Journal of Urban Management 2021;10. https://doi.org/10.1016/j.jum.2021.06.004.

[33]Sasongko I, Gai AM, Azzizi VT. Spatiotemporal Dynamics of Land Use and Community Perception in Peri-Urban Environments: The Case of the Intermediate City in Indonesia. Urban Science 2024;8:97.

[34]Zhang K, Wang R, Shen C, Da L. Temporal and spatial characteristics of the urban heat island during rapid urbanization in Shanghai, China. Environ Monit Assess 2010;169:101–12.

[35]Gyimah RR. The hot zones are cities: Methodological outcomes and synthesis of surface urban heat island effect in Africa. Cogent Soc Sci 2023;9:2165651.

[36]Tursilowati L. Pulau panas perkotaan akibat perubahan tata guna dan penutup lahan di bandung dan bogor. Jurnal Sains Dirgantara 2010;3.

[37]Darlina SP, Sasmito B, Yuwono BD. Analisis Fenomena Urban Heat Island Serta Mitigasinya (Studi Kasus: Kota Semarang). Jurnal Geodesi Undip 2018;7:77–87.

[38]Sobirin S, Fatimah RN. Urban heat island kota surabaya. Geo Edukasi 2015;4.

[39]Salam M, Islam MK, Jahan I, Chowdhury MA. Assessing the impacts of vegetation loss and land surface temperature on Surface Urban Heat Island (SUHI) in Gazipur District, Bangladesh. Computational Urban Science 2024;4:24.

[40]Xu C, Wang W, Zhu H. Spatial gradient differences in the cooling island effect and influencing factors of urban park green spaces in Beijing. Buildings 2024;14:1206.

[41]Wang Y, He W, Duan M, Liu H, Chen H, Han C, et al. Evaluation of the CRTM Land Emissivity Model over Grass and Sand Surfaces Using Ground-Based Measurements. Remote Sens (Basel) 2023;16:95. https://doi.org/10.3390/rs16010095.

[42]Yan W, Jiang J, He L, Zhao W, Nair R, Wang X, et al. Correcting land surface temperature from thermal imager by considering heterogeneous emissivity. International Journal of Applied Earth Observation and Geoinformation 2024;129. https://doi.org/10.1016/j.jag.2024.103824.

[43]Gunadi G, Juniarti J, Gusnidar G. Hubungan stok karbon tanah dan suhu permukaan pada beberapa penggunaan lahan di Nagari Padang Laweh Kabupaten Sijunjung. Jurnal Solum 2020;17:1–11.

[44]Badan Pusat Statistik. Master File Wilayah 2023. 2024.

[45]Javadpoor M, Sharifi A, Gurney KR. Mapping the relationship between urban form and CO2 emissions in three US cities using the Local Climate Zones (LCZ) framework. J Environ Manage 2024;370:122723.

DOI: https://doi.org/10.20961/region.v21i1.98333

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