Pemetaan Daerah Rawan Banjir Dengan Menggunakan Metode Weighted Overlay Studi Kasus Kota Malang
DOI:
https://doi.org/10.21067/jpig.v10i2.11537Keywords:
Banjir, Kota Malang, Sistem Informasi Geografis (SIG), Floods, Malang City, Geographic Information System (GIS)Abstract
Malang City is one of the regions in Indonesia with significant flood risk due to a combination of natural factors and human activities. This study aims to map flood-prone areas using Geographic Information System (GIS) technology by considering six main parameters: slope, elevation, rainfall, soil type, land use, and river buffer. Using the weighted overlay method, the flood risk zoning map is classified into three categories: low, medium, and high. The results show that 67.22% of Malang City falls under the high-risk category, particularly in Klojen, Blimbing, Sukun, and Lowokwaru districts. Dominant factors contributing to flood vulnerability include high rainfall, dense settlements, and a lack of green spaces. The study recommends mitigation measures such as improving drainage systems, increasing green areas, and implementing risk-based spatial planning to minimize flood impacts. The flood risk zoning map serves as a crucial tool for the government to plan and manage floods more effectively.
References
Alharbi, T. (2024). A Weighted Overlay Analysis for Assessing Urban Flood Risks in Arid Lands: A Case Study of Riyadh, Saudi Arabia. Water (Switzerland), 16(3). https://doi.org/10.3390/w16030397
Darmawan, K., Hani’ah, & Suprayogi, A. (2017). Analisis Tingkat Kerawanan Banjir di Kabupaten Sampang Menggunakan Metode Overlay dengan Scoring Berbasis Sistem Informasi Geografis. Jurnal Geodesi Undip. Januari, 6(1).
Hardianto, A., Winardi, D., Rusdiana, D. D., Putri, A. C. E., Ananda, F., Devitasari, Djarwoatmodjo, F. S., Yustika, F., & Gustav, F. (2020). Pemanfaatan Informasi Spasial Berbasis SIG untuk Pemetaan Tingkat Kerawanan Longsor di Kabupaten Bandung Barat, Jawa Barat. Jurnal Geosains Dan Remote Sensing, 1(1), 23–31. https://doi.org/10.23960/jgrs.2020.v1i1.16
Haris, F. D., Sitorus, S. R. P., & Tjahjono, B. (2022). Kesesuaian Rencana Tata Ruang Wilayah (RTRW) berbasis bahaya banjir menggunakan analisis hierarki proses di Kabupaten Kuningan. Region : Jurnal Pembangunan Wilayah Dan Perencanaan Partisipatif, 17(1), 124. https://doi.org/10.20961/region.v17i1.44172
ITN. (2024). Malang Rawan Banjir: Tata Ruang Kota Malang Problematik. Sumber: ITN: https://itn.ac.id/opini/malang-rawan-banjir-tata-ruang-kota-malang-problematik/
Jatim, W. (2023). Malang Langganan Banjir: Pemkot Malang Masih Mengabaikan Problem Ruang. Sumber: Walhi Jawa Timur: https://walhijatim.org/2023/11/29/malang-langganan-banjir-pemkot-malang-masih-mengabaikan-problem-ruang/
Muin, A. R. H. (2023). Evaluasi Rencana Tata Ruang Wilayah Kota Ambon Berdasarkan Aspek Kerawanan Banjir. Ulil Albab : Jurnal Ilmiah Multidisiplin, 2(5).
Nurhanisah, Y. (2023). 4.940 Bencana Terjadi di Indonesia Sepanjang 2023. Sumber: Indonesia baik.id: https://indonesiabaik.id/infografis/4940-bencana-terjadi-di-indonesia-sepanjang-2023
Sulistyo, T., & Respati, S. (2023). The Estimation Of Flood Area Based On a Few Selected and Weighted Parameters: Case Study of The Nangka River Basin, Balikpapan (Indonesia). Journal of the Geographical Institute Jovan Cvijic SASA, 73(2), 123–137. https://doi.org/10.2298/IJGI2302123S
Tarkono, Humam, A., Sitanala Putra Baladiah, D., Annisa Hermastuti, G., Rahmayani, I., Vidia Mahyunis, R., & Fauziah Sayuti, S. (2021). Pemetaan Daerah Potensi Rawan Banjir Dengan Sistem Informasi Geografi Metode Weighted Overlay di Kelurahan Keteguhan. Jurnal Pengabdian Kepada Masyarakat, 1(3).
Yamani, A., & Rustiadi, E. (2015). Evaluasi Pola Ruang Berbasis Kerawanan Banjir di Kabupaten Pidie Spatial Pattern Evaluation Based on Flood Vulnerability in Pidie District. Tata Loka, 17(3), 130–147.
