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All Journal Jurnal Teknologi Perikanan dan Kelautan Management of Aquatic Resources Journal (Maquares) Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information International Journal of Remote Sensing and Earth Sciences (IJReSES) J SIG (Jurnal Sains Informasi Geografi) Jurnal Pembelajaran dan Biologi Nukleus Jurnal Riset Kelautan Tropis (Journal Of Tropical Marine Research) (J-Tropimar) Jurnal Riset Kelautan Tropis (J-Tropimar)
Budhi Agung Prasetyo
Sains Lingkungan Kelautan, Institut Teknologi Sumatera, Lampung Selatan, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Physics

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Analysis of The Effect of Land Use Change Using Random Forest Algorithm on Surface Temperature and Its Relationship With Urban Heat Island Phenomenon Damayanti, Alpina; Prasetyo, Budhi Agung; Sitinjak, Mika Alvionita
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 1 (2026): Article in Press - JGEET Vol 11 No 01 : March (2026)
Publisher : UIR PRESS

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Abstract

Bandar Lampung City is one of the cities experiencing rapid population growth. Its strategic location for development and infrastructure has made it a prime target for urbanisation. This urbanisation process has increased built-up land areas and surface temperature, triggering the emergence of the urban heat island (UHI) phenomenon. This study aims to analyse land use changes and surface temperature to determine the spatial distribution of the urban heat island phenomenon in Bandar Lampung City using Landsat 8 remote sensing data. The analysis was carried out through several extraction stages, one involved examining land use changes using the random forest algorithm as an ensemble learning method to address classification problems. The classification results showed an accuracy level of 85%, with the most significant changes occurring in built-up and vegetated areas. The shift in land function from natural or vegetative conditions to built-up areas such as residential zones, commercial areas, and urban infrastructure is driven by population growth and increased economic activity. This transformation has resulted in reduced green spaces and agricultural land, increased surface temperature, decreased groundwater absorption capacity, and intensified the urban heat island phenomenon, affecting ecosystem balance and urban environmental comfort. Based on data processing results, the average surface temperature distribution in 2013 and 2023 was 22.62°C and 26.65°C, respectively, with the UHI distribution increasing by 762.95 hectares.
Co-Authors Adib Mustofa Agus Hartoko Alpina Damayanti, Alpina Asagabaldan, Meezan Ardhanu Hidayah, Rismawati Muhammad Zainuddin Lubis Muklis, Nur’Ainun Prasetio, Wiji Pratama, Annisa Tias Sahala Hutabarat Sihite, Pungka Star Sitinjak, Mika Alvionita Sri Pujiyati Suryanti, Erma Syamsul Bahri Agus, Syamsul Bahri Syari , Chalida Tiggi Choanji Vincentius P Siregar Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum