Pemetaan Kerawanan Banjir Berbasis Topografi Menggunakan Metode GIS-AHP di DAS Air Bengkulu
DOI:
https://doi.org/10.32832/komposit.v10i2.24064Keywords:
Air Bengkulu Watershed, elevation, slope, GIS-AHP, flood susceptibilityAbstract
Flooding in the Air Bengkulu Watershed is related to the physical characteristics of the area, particularly the topographic differences between the upstream and downstream regions. Downstream areas with low elevation and gentle slopes tend to have higher potential for surface runoff accumulation. This study aims to map topography-based flood susceptibility using the Geographic Information System and Analytical Hierarchy Process (GIS-AHP) as preliminary information for identifying flood-prone areas in the Air Bengkulu Watershed. The parameters used were elevation and slope, derived from the National Digital Elevation Model (DEMNAS), then reclassified into five susceptibility classes and weighted using AHP. The weighting results showed that elevation had a weight of 0.667, while slope had a weight of 0.333. The integration of both parameters through weighted overlay produced a topography-based flood susceptibility map, with the very high class covering 121.21 km² or 24.27% and the high class covering 104.49 km² or 20.92% of the classified area. Combined, both classes covered 225.70 km² or 45.19% of the classified area, mainly distributed in the downstream to middle parts of the watershed. Spatial validation using verified flood occurrence data showed spatial agreement between documented flood locations and areas identified as flood-prone based on the mapping results. Therefore, this study provides preliminary spatial information to support the identification of priority areas for flood mitigation, particularly in the downstream part of the Air Bengkulu Watershed. However, the resulting map represents an initial topography-based susceptibility assessment, not a complete representation of all flood-causing factors.
References
Al-Juaidi, A. (2023). The interaction of topographic slope with various geo-environmental flood-causing factors on flood prediction and susceptibility mapping. Environmental Science and Pollution Research, 30. https://doi.org/10.1007/s11356-023-26616-y
Avand, M., Kuriqi, A., Khazaei, M., & Ghorbanzadeh, O. (2022). DEM resolution effects on machine learning performance for flood probability mapping. Journal of Hydro-Environment Research, 40(November 2021), 1–16. https://doi.org/10.1016/j.jher.2021.10.002
Basuki, T. M., Nugroho, H. Y. S. H., Indrajaya, Y., Pramono, I. B., Nugroho, N. P., Supangat, A. B., Indrawati, D. R., Savitri, E., Wahyuningrum, N., Purwanto, Cahyono, S. A., Putra, P. B., Adi, R. N., Nugroho, A. W., Auliyani, D., Wuryanta, A., Riyanto, H. D., Harjadi, B., Yudilastyantoro, C., … Simarmata, D. P. (2022). Improvement of Integrated Watershed Management in Indonesia for Mitigation and Adaptation to Climate Change: A Review. Sustainability (Switzerland), 14(16), 1–41. https://doi.org/10.3390/su14169997
Cea, L., & Costabile, P. (2022). Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change: A Review. Hydrology, 9(3). https://doi.org/10.3390/hydrology9030050
Chan, S. W., Abid, S. K., Sulaiman, N., Nazir, U., & Azam, K. (2022). A systematic review of the flood vulnerability using geographic information system. Heliyon, 8(3). https://doi.org/10.1016/j.heliyon.2022.e09075
Desalegn, H., & Mulu, A. (2021). Flood vulnerability assessment using GIS at Fetam watershed, upper Abbay basin, Ethiopia. Heliyon, 7(1), e05865. https://doi.org/10.1016/j.heliyon.2020.e05865
Faski, G. I. S. L., & Purnama, I. L. S. (2021). The Impact of Global Climate Change to Climate Condition of Bengkulu Watershed, Indonesia. E3S Web of Conferences, 325. https://doi.org/10.1051/e3sconf/202132508010
Faski, G. I. S. L., Purnama, I. L. S., & Suprayogi, S. (2021). Application of hydrometeorological data to analyze water balance conditions in Bengkulu watershed. IOP Conference Series: Earth and Environmental Science, 893(1). https://doi.org/10.1088/1755-1315/893/1/012078
Gunawan, G. (2021a). Flood modelling of Air Bengkulu Watershed, Indonesia, using SUH and HEC-HMS. IOP Conference Series: Earth and Environmental Science, 871(1). https://doi.org/10.1088/1755-1315/871/1/012033
Gunawan, G. (2021b). Hydrological modelling of Air Bengkulu river watershed in Indonesia using SUH and HEC-HMS models. IOP Conference Series: Materials Science and Engineering, 1173(1), 012021. https://doi.org/10.1088/1757-899x/1173/1/012021
Gunawan, G., Misliniyati, R., Kurnia, I., & Saputra, T. (2023). Pemodelan Genangan Banjir Sub DAS Bengkulu Hilir Berbasis Ras Mapper dan Arc-Gis 10 . 8. Media Komunkasi Teknik Sipil, 29(1), 84–92. https://doi.org/10.14710/mkts.v29i1.53915
Gupta, A., & Govindaraju, R. S. (2023). Uncertainty quantification in watershed hydrology : Which method to use ? Journal of Hydrology, 616(October 2022), 128749. https://doi.org/10.1016/j.jhydrol.2022.128749
Kaya, C. M., & Derin, L. (2023). Parameters and methods used in flood susceptibility mapping: a review. Journal of Water and Climate Change, 14(6), 1935–1960. https://doi.org/10.2166/wcc.2023.035
Liu, J., Zhao, X., Chen, Y., Sun, H., Gu, Y., & Xu, S. (2025). A novel flood conditioning factor based on topography for flood susceptibility modeling. Geoscience Frontiers, 16(1). https://doi.org/10.1016/j.gsf.2024.101960
Muthusamy, M., Casado, M. R., Butler, D., & Leinster, P. (2021). Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling. Journal of Hydrology, 596(February). https://doi.org/10.1016/j.jhydrol.2021.126088
Nkonu, R. S., Antwi, M., Amo-Boateng, M., & Dekongmen, B. W. (2023). GIS-based multi-criteria analytical hierarchy process modelling for urban flood vulnerability analysis, Accra Metropolis. Natural Hazards, 117(2), 1541–1568. https://doi.org/10.1007/s11069-023-05915-0
Pimenta, L., Duarte, L., Teodoro, A. C., Beltrão, N., Gomes, D., & Oliveira, R. (2025). GIS-Based Flood Susceptibility Mapping Using AHP in the Urban Amazon: A Case Study of Ananindeua, Brazil. Land, 14(8), 1–23. https://doi.org/10.3390/land14081543
Saraswati, G. S., Asdak, C., & Joy, B. (2025). Karakteristik Daerah Aliran Sungai ( DAS ) Air Bengkulu dan Perubahan Penggunaan Lahannya dalam Kaitannya dengan Kejadian Banjir. Jurnal Ilmu Lingkungan, 23(4), 915–922. https://doi.org/10.14710/jil.23.4.915-922
Selvam, R. A., & Antony Jebamalai, A. R. (2023). Application of the analytical hierarchy process (AHP) for flood susceptibility mapping using GIS techniques in Thamirabarani river basin, Srivaikundam region, Southern India. Natural Hazards, 118(2), 1065–1083. https://doi.org/10.1007/s11069-023-06037-3
Shrestha, S., Dahal, D., Poudel, B., Banjara, M., & Kalra, A. (2025). Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation. Water (Switzerland), 17(7). https://doi.org/10.3390/w17070937
Sulistyo, B., Adiprasetyo, T., Murcitro, B. G., Purwadi, A. J., & Listyaningrum, N. (2024). Runoff Coefficient in the Air Bengkulu Watershed and the Evaluation of the Existing Spatial Planning. Indonesian Journal of Geography, 56(2), 277–287. https://doi.org/10.22146/ijg.91397
Swain, K. C., Singha, C., & Nayak, L. (2020). Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS International Journal of Geo-Information, 9(12). https://doi.org/10.3390/ijgi9120720
Vojtek, M., & Vojteková, J. (2019). Flood susceptibility mapping on a national scale in Slovakia using the analytical hierarchy process. Water (Switzerland), 11(2). https://doi.org/10.3390/w11020364
Wasko, C., Westra, S., Nathan, R., Orr, H. G., Villarini, G., Villalobos Herrera, R., & Fowler, H. J. (2021). Incorporating climate change in flood estimation guidance. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2195). https://doi.org/10.1098/rsta.2019.0548
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms (Penulis yang mengajukan publikasi artikel telah menyetujui hal berikut):
- Through this publication, the author agree to submit the copyright of article writing to Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil. This copyright submission takes the form of, but is not limited to: reproduction of the article and parts therein, including photographic reproductions; distribution of articles through printed and electronic documents; and translation of articles(Bahwa melalui publikasi ini, hak cipta penulisan artikel diserahkan kepada Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil. Penyerahan hak cipta ini berupa, namun tidak terbatas pada: perbanyakan artikel dan bagian di dalamnya, termasuk reproduksi fotografi; penyebarluasan artikel melalui dokumen cetak dan elektronik; serta penterjemahan artikel).
- The authors agree to the terms of the Copyright Notice, according to Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License., which will apply to this article if and when it is published by Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil. (Para penulis setuju dengan ketentuan Pemberitahuan Hak Cipta, sesuai dengan Lisensi Internasional Creative Commons Attribution-NonCommercial-ShareAlike 4.0., yang akan berlaku untuk artikel ini jika dan ketika diterbitkan oleh Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil).

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

.png)











