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All Journal Indonesian Journal of Geography Geo Media: Majalah Ilmiah dan Informasi Kegeografian Majalah Geografi Indonesia JURNAL AGROTEKNOLOGI Forum Geografi GEA, Jurnal Pendidikan Geografi MAJALAH ILMIAH GLOBE UNM Geographic Journal BHUMI: Jurnal Agraria dan Pertanahan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Iswari Nur Hidayati
Departement Of Geographic Information Science, Faculty Of Geography, Gadjah Mada University
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences Other

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Integrasi Random Forest dan Landscape Expansion Index (LEI) untuk Identifikasi Pola Perkembangan Perkotaan Yogyakarta Hidayati, Iswari Nur; Andita, Aning; Herdiansyah, Herdiansyah
GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi Vol. 6 No. 1 (2025): Juni
Publisher : Jurusan Pendidikan Geografi Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/gjppg.v6i1.10493

Abstract

The urban areas of Yogyakarta and its surroundings have experienced highly dynamic growth. Therefore, research is needed to analyze urban development, starting with land cover and land use analysis using Landsat TM and Landsat 8 OLI imagery. Random Forest (RF) classification, a machine learning-based method, was employed to accelerate the land cover and land use classification process. This study combines the Random Forest and Landscape Expansion Index (LEI) methods to analyze land use changes and urban growth patterns. LEI was utilized to identify urban development types, such as outlying (diffusion), edge expansion, and infilling.  The study highlights the roles of RF and Google Earth Engine (GEE) in land cover and land use classification. The results show that Yogyakarta and its surrounding urban areas are predominantly expanding outward, following an edge expansion pattern, especially toward Sleman and Bantul regencies. Additionally, infilling growth is observed in Gondomanan and Gondokusuman sub-districts, which are already densely populated areas. Outlying development patterns were found in Sleman and Bantul regencies, occurring far from the Yogyakarta city center.  This study underscores that the combination of RF, GEE, and LEI is an effective method for analyzing urban growth patterns.
PEMANFAATAN CITRA MULTISPEKTRAL UNTUK ANALISIS SIHU PERMUKAAN KOTA SURAKARTA TAHUN 2020-2024 Arlindita, Yazinka Puri; Hidayati, Iswari Nur
UNM Geographic Journal Volume 8 Nomor 1 Maret 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ugj.v1i1.66260

Abstract

Transformation of suburban areas into urban areas often results in the phenomenon of urbanisation which indirectly causes an increase in the dynamics of land use land cover (LULC) changes and changes in the distribution and intensity of Land Surface Temperature (LST). In this study, we examined the relationship of LULC dynamics to the spatial pattern of LST in Surakarta City through Landsat 8 OLI and TIRS image data in 2020 and 2024. Determination of LULC dynamics is done through supervised classification method, and single channel algorithm method to regress thermal data into spatial distribution of Surakarta City LST. The results of LULC and LST processing were spatially regressed using Geographically Weighted Regression (GWR) features to see the correlation and statistical calculations to see the level of surface temperature in each land use class. The results showed a positive change in built-up area which includes residential and non-residential buildings of 6.59 hectares in 2024, while vegetation land experienced a negative change of 487.72 hectares. LST processing results show changes in maximum and minimum temperatures, with a range of 23-30.1oC in 2020 to 24.85-30.5oC in 2024. Spatially, the maximum surface temperature distribution is on residential built-up land, while the lowest surface temperature is on vegetation land, especially non-agricultural vegetation. The results of this study can help the government in creating a spatial layout of Surakarta City that pays attention to the environment through the development of green spaces in several high-class locations.
Co-Authors Achmad Fadhilah Alke Caroline Helena Maru Andita, Aning Arlindita, Yazinka Puri Emilya Nurjani Eni Susanti Eni Susanti Fathilda, Intan Khaeruli Gian Felix Ramadhan Herdiansyah Herdiansyah Magiswari, Vabbereina Jasmineputeri Prima Widayani Projo Danoedoro Projo Danoedoro Projo Danoedoro Projo Danoedoro R Suharyadi R. Suharyadi Rahmatika, Iklila Renita, Ermie Suharyadi, R Suharyadi, R Westi Utami Wuri Handayani