Flood Hazard Mapping in Bone Regency Based on Geographic Information System (GIS)

Shohifah Shaf; Mohammad Ikhwan Syahtaria; Christine Sri Marnani

doi:10.63922/ijeter.v4i02.3184

Shohifah Shaf Disaster Management Study Program, Faculty of National Security, Indonesia Defense University, Bogor, Indonesia
Mohammad Ikhwan Syahtaria Disaster Management Study Program, Faculty of National Security, Indonesia Defense University, Bogor, Indonesia
Christine Sri Marnani International Relations Study Program, Faculty of Communication and Diplomacy, Pertamina University, Jakarta, Indonesia

DOI: https://doi.org/10.63922/ijeter.v4i02.3184

Keywords: Flood, GIS, Fuzzy Logic, Bone Regency, Hazard Mapping.

Abstract

Bone Regency is one of the regions in South Sulawesi Province with a high-category flood disaster risk level, reaching a risk index of 164.46. This study aims to produce flood hazard mapping in Bone Regency using a Geographic Information System (GIS) approach and fuzzy logic. The methods employed include Geomorphic Flood Index (GFI) analysis to identify areas prone to inundation, as well as weighted overlay techniques based on slope and distance-from-river parameters. The research results indicate that the total area with flood hazard levels in Bone Regency reaches 93,773.14 ha, dominated by the high-hazard class covering approximately 75% of the total hazard potential. The spatial distribution shows the highest risk concentration in Mare Subdistrict (10,920.15 ha), Sibulue (9,062.06 ha), and Cenrana (6,968.28 ha). Model validation against historical data demonstrates an accuracy rate of 90%, proving that the integration of GIS and fuzzy logic is effective in mapping flood hazard zones with high precision. The results of this study are expected to serve as a strategic instrument for stakeholders in planning more effective and targeted disaster mitigation.

References

Angriani, F., & Kumalawati, R. (2016). Pemetaan Bahaya Banjir Kabupaten Hulu Sungai Tengah Provinsi Kalimantan Selatan. Jurnal Spatial Wahana Komunikasi Dan Informasi Geografi, 16(2), 21–26. https://doi.org/10.21009/spatial.162.03
Badan Penanggulangan Bencana Daerah Kabupaten Bone. (2020). Kajian Risiko Bencana Kabupaten Bone 2020-2024. Watampone: BPBD Kabupaten Bone.
Badan Penanggulangan Bencana Daerah Kabupaten Bone. (2024). Rencana Kontingensi Banjir Kabupaten Bone 2024-2027. Watampone: BPBD Kabupaten Bone.
Hermon, D. (2015). Geografi Bencana Alam. Jakarta: Rajawali Pers.
Indrianawati, Hakim, D. M., & Deliar, A. (2013). Penyusunan Basis Data Untuk Identifikasi Daerah Rawan Banjir Dikaitkan Dengan Infrastruktur Data Spasial Studi Kasus: Provinsi Jawa Barat. Jurnal Itenas Rekayasa, 17(1), 22-31.
Liu, W. C., Hsieh, T. H., & Liu, H. M. (2021). Flood Risk Assessment in Urban Areas of Southern Taiwan. Sustainability, 13(6), 3180. https://doi.org/10.3390/su13063180
Musfida, A., Manaf, M., Tantu, A. G., Hadijah, H., Syafri, S., & Kastono, K. (2021). Kajian lokasi rawan bencana banjir pada daerah aliran sungai (DAS) Walanae Kecamatan Dua Boccoe Kabupaten Bone. Jurnal Ilmiah Ecosystem, 21(2), 348-357.
Rosyidie, A. (2013). Banjir: Fakta dan dampaknya, serta pengaruh dari perubahan guna lahan. Jurnal Perencanaan Wilayah dan Kota, 24(3), 241-249.
Samela, C., Troy, T. J., & Manfreda, S. (2015). Geomorphic flood index (GFI): A process-based tool for regional flood hazard surveys. Water Resources Research, 51(10), 8270-8287. https://doi.org/10.1002/2015WR017428
Seprianto, M., Anggo, M., Surdin, Harudu, L., & Aldiansyah, S. (2024). Pemetaan Daerah Potensi Rawan Banjir Menggunakan Metode Overlay. Jurnal Penelitian Pendidikan Geografi, 9(4), 214–226. https://doi.org/10.36709/jppg.v9i4.260