Email the author 
Analisis Perubahan Spasial Kawasan Terbangun di Kota Serang Tahun 2020–2025
Abstract
Urban development is often accompanied by the expansion of built-up areas, which can alter land-use patterns within and around urban areas. As the capital city of Banten Province, Serang City has experienced physical urban development that requires spatial and temporal monitoring of built-up area changes. This study aims to analyze changes and expansion of built-up areas in Serang City from 2020 to 2025 using Landsat 8 imagery. The analysis employed the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI), built-up area classification, change detection, and Zonal Histogram analysis to identify changes in built-up areas across districts. The results indicate an increase in built-up areas across all districts during the 2020–2025 period. Taktakan District recorded the largest increase, covering 165.51 ha, followed by Serang District with 138.69 ha and Cipocok Jaya District with 120.78 ha. In proportion to the area of each district, the highest change occurred in Serang District at 5.23%, while the lowest was recorded in Kasemen District at 0.99%. The spatial pattern indicates an outward expansion of built-up areas from the urban core toward surrounding areas, particularly in districts directly adjacent to the urban center. The findings demonstrate that remote sensing-based analysis of built-up area changes can provide spatial information to support urban development monitoring and land-use management in Serang City.
Keywords
Full Text:
PDFReferences
Alvianti, V., & Fathurrahman, F. (2023). A Review Of Diy’s Decentralization Of The Urban Sprawl Phenomenon In The Yogyakarta Metropolitan Area (Kartamantul). Edusaintek: Jurnal Pendidikan, Sains Dan Teknologi, 11(2). https://doi.org/10.47668/edusaintek.v11i2.1027
Aziz, R., Suherman, S., & Mirajiani, M. (2021). Analisis Kebijakan Perlindungan Lahan Pertanian Berkelanjutan Dalam Rangka Mengendalikan Alih Fungsi Lahan Di Kota Serang. Jurnal Ilmu Pertanian Tirtayasa, 3(2). https://doi.org/10.33512/jipt.v3i2.13740
Chettry, V. (2023). A Critical Review of Urban Sprawl Studies. In Journal of Geovisualization and Spatial Analysis (Vol. 7, Number 2). https://doi.org/10.1007/s41651-023-00158-w
Fahmi, F. Z., Hudalah, D., Rahayu, P., & Woltjer, J. (2014). Extended urbanization in small and medium-sized cities: The case of Cirebon, Indonesia. Habitat International, 42. https://doi.org/10.1016/j.habitatint.2013.10.003
Firman, T. (2009). The continuity and change in mega-urbanization in Indonesia: A survey of Jakarta-Bandung Region (JBR) development. Habitat International, 33(4). https://doi.org/10.1016/j.habitatint.2008.08.005
Hafiz, A. A., Usman, F., Hidayat, A. R. T., & Zakiyah, D. M. (2025). Spatiotemporal Dynamics of Urban Sprawl Types in the Peri-Urban Area of Malang Municipality, Indonesia. Urban Science, 9(8). https://doi.org/10.3390/urbansci9080313
Lufilah, S. N., Makalew, A. D., & Sulistyantara, B. (2017). Pemanfaatan Citra Landsat 8 Untuk Analisis Indeks Vegetasi Di Dki Jakarta. Jurnal Lanskap Indonesia, 9(1). https://doi.org/10.29244/jli.v9i1.15173
Oka, I., Yusliana, Y., & Pramana, A. Y. E. (2025). Membaca Dinamika Peri-Urban: Transformasi Spasial, Sosial, dan Ekonomi di Kawasan Perkotaan Yogyakarta: Studi Kasus Kabupaten Sleman. Jurnal Pendidikan Geografi Undiksha, 13(3). https://doi.org/10.23887/jjpg.v13i3.85433
Ridwana, R., Sugandi, D., Arrasyid, R., Himayah, S., & Pamungkas, T. D. (2021). Multitemporal landsat image utilization for spatial prediction of built up area in tasikmalaya city, indonesia. IOP Conference Series: Earth and Environmental Science, 683(1). https://doi.org/10.1088/1755-1315/683/1/012101
Rismawati, I., Sitorus, S. R. P., & Darmawan, D. (2021). Perkembangan Wilayah, Keselarasan Penggunaan Lahan Dengan Pola Ruang, Dan Arahan Rencana Pengembangan Wilayah Kabupaten Tangerang. TATALOKA, 23(1). https://doi.org/10.14710/tataloka.23.1.80-94
Ruuhulhaq, M. S., & Setianingrum, S. (2024). Pemanfaatan Citra Satelit Landsat untuk Analisis Kerapatan Vegetasi Menggunakan Metode NDVI di Kota Serang Tahun 2014 dan 2024. Jurnal Pendidikan Geografi Undiksha, 12(3). https://doi.org/10.23887/jjpg.v12i3.81193
Sari, N. M., Kushardono, D., Mukhoriyah, Kustiyo, & Manessa, M. D. M. (2025). Analysis of urban environmental comfort using Landsat-8 multitemporal data and Artificial Neural Network. Journal of Degraded and Mining Lands Management, 12(3). https://doi.org/10.15243/jdmlm.2025.123.7591
Sukri, I., Yusuf, M., Qaiyimah, D., Muhammad, F., & Haris, H. (2025). Analisis lahan terbangun dan pertumbuhan penduduk di Kota Makassar menggunakan Google Earth Engine. Region : Jurnal Pembangunan Wilayah Dan Perencanaan Partisipatif, 20(2). https://doi.org/10.20961/region.v20i2.95473
Surya, B., Salim, A., Hernita, H., Suriani, S., Menne, F., & Rasyidi, E. S. (2021). Land use change, urban agglomeration, and urban sprawl: A sustainable development perspective of makassar city, indonesia. Land, 10(6). https://doi.org/10.3390/land10060556
Widiastuti, R., Wijaya, M. S., Al Kautsar, A., Widiana Putri, I., & Kusratmoko, E. (2025). Detection of Urban Landscape Changes in Surabaya for the Years 2014-2024 Based on NDVI and NDBI Analysis of Landsat 8 OLI Imagery. JURNAL GEOGRAFI, 17(1). https://doi.org/10.24114/jg.v17i1.59320
Zhang, L., Qiao, G., Huang, H., Chen, Y., & Luo, J. (2021). Evaluating spatiotemporal distribution of residential sprawl and influencing factors based on multi-dimensional measurement and geodetector modelling. International Journal of Environmental Research and Public Health, 18(16). https://doi.org/10.3390/ijerph18168619
DOI: https://doi.org/10.37905/geojpg.v5i2.40735
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Muhammad Suhada Al Afif
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Geosfera : Jurnal Penelitian Geografi: (P-ISSN: 2962-5424, E-ISSN: 2962-5416) is licensed under a Creative Commons Attribution 4.0 International License.