Analisis Tingkat Kerawanan Banjir berbasis Metode Fuzzy Analytical Hierarchy Process (F-AHP) di Serang Raya
DOI:
https://doi.org/10.37058/diffraction.v8i1.476Keywords:
banjir, kerawanan banjir, Fuzzy AHP, SIG, Serang RayaAbstract
Banjir merupakan salah satu bencana hidrometeorologi yang sering terjadi di wilayah Serang Raya dan menimbulkan dampak terhadap aktivitas sosial dan ekonomi masyarakat. Penelitian ini bertujuan menganalisis distribusi spasial tingkat kerawanan banjir menggunakan metode Fuzzy Analytical Hierarchy Process (F-AHP) berbasis Sistem Informasi Geografis (SIG). Analisis dilakukan dengan mempertimbangkan enam parameter, yaitu curah hujan, kemiringan lereng, elevasi, tutupan lahan, jenis tanah, dan jarak terhadap sungai. Bobot parameter ditentukan menggunakan metode F-AHP, kemudian diintegrasikan melalui analisis weighted overlay untuk menghasilkan peta kerawanan banjir. Hasil pemodelan diklasifikasikan menjadi lima kelas menggunakan metode Jenks Natural Breaks, yaitu sangat rendah, rendah, menengah, tinggi, dan sangat tinggi. Hasil penelitian menunjukkan bahwa kelas kerawanan tinggi mendominasi wilayah penelitian dengan luas 886,44 km² (44,97%), diikuti kelas menengah 598,68 km² (30,36%), rendah 238,97 km² (12,12%), sangat tinggi 215,47 km² (10,92%), dan sangat rendah 27,96 km² (1,42%). Wilayah dengan kerawanan tinggi hingga sangat tinggi terkonsentrasi di bagian utara yang merupakan kawasan hilir dengan topografi datar dan dekat jaringan sungai. Validasi menggunakan 101 data kejadian banjir tahun 2023 menunjukkan bahwa 96,04% kejadian berada pada kelas menengah hingga sangat tinggi, sehingga model F-AHP mampu merepresentasikan kondisi aktual dengan baik. Hasil penelitian ini dapat digunakan sebagai dasar perencanaan tata ruang, mitigasi, dan pengurangan risiko banjir di Serang Raya.
References
Asdak, C. (2023). Hidrologi dan pengelolaan daerah aliran sungai (Edisi revisi). Gadjah Mada University Press.
Badan Nasional Penanggulangan Bencana (BNPB). (2021). Petunjuk teknis penyusunan peta bahaya banjir. BNPB.
Badan Nasional Penanggulangan Bencana (BNPB). (2026). InaRISK – Peta risiko bencana Indonesia.
Badan Penanggulangan Bencana Daerah (BPBD) Provinsi Banten. (2023). Data kejadian banjir dan wilayah rawan banjir Provinsi Banten.
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233–247. https://doi.org/10.1016/0165-0114(85)90090-9
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. https://doi.org/10.1016/0377-2217(95)00300-2
Chow, V. T., Maidment, D. R., & Mays, L. W. (1988). Applied hydrology. McGraw-Hill.
Costache, R., et al. (2023). Flood susceptibility assessment using GIS-based multi-criteria decision analysis and distance-based approaches. Environmental Earth Sciences, 82, 1–18.
Didovets, I., Krysanova, V., Hattermann, F. F., & Huang, S. (2019). Flood hazard under climate change: A pan-European assessment of extreme river floods. Journal of Hydrology, 576, 737–748. https://doi.org/10.1016/j.jhydrol.2019.07.004
Eryani, I. G. A., et al. (2024). Analisis pengaruh kemiringan lereng terhadap potensi banjir di wilayah tropis. Jurnal Geografi Lingkungan, 12(1), 45–56.
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., & Alsdorf, D. (2007). The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2), RG2004. https://doi.org/10.1029/2005RG000183
Fernández, D. S., & Lutz, M. A. (2020). Urban flood hazard zoning using GIS and multi-criteria decision analysis. Journal of Hydrology, 583, 124625. https://doi.org/10.1016/j.jhydrol.2020.124625
Food and Agriculture Organization of the United Nations (FAO). (2006). World reference base for soil resources 2006: A framework for international classification, correlation and communication. FAO.
Handiani, D. N., & Purnomo, D. (2024). Flood susceptibility models using AHP method. Jurnal Pengelolaan Sumberdaya Lahan, 14(4), 684–695. https://doi.org/10.29244/jpsl.14.4.684
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D., Watanabe, S., Kim, H., & Kanae, S. (2013). Global flood risk under climate change. Nature Climate Change, 3(9), 816–821. https://doi.org/10.1038/nclimate1911
Kazakis, N., Kougias, I., & Patsialis, T. (2015). Assessment of flood hazard areas at a regional scale using an index-based approach and analytical hierarchy process. Science of the Total Environment, 538, 555–563. https://doi.org/10.1016/j.scitotenv.2015.08.055
Kementerian Agraria dan Tata Ruang/Badan Pertanahan Nasional (ATR/BPN). (2020). Peta tematik pertanahan Indonesia. ATR/BPN.
Kementerian Pertanian Republik Indonesia. (2019). Peta jenis tanah Indonesia. Kementerian Pertanian.
Khosravi, K., Pham, B. T., Chapi, K., Shirzadi, A., Shahabi, H., Revhaug, I., Pradhan, B., & Bui, D. T. (2019). A comparative assessment of decision trees algorithms for flash flood susceptibility modeling. Science of the Total Environment, 677, 153–167. https://doi.org/10.1016/j.scitotenv.2019.04.293
Khosravi, K., Shahabi, H., Pham, B. T., Adamowski, J., Shirzadi, A., Pradhan, B., Dou, J., Ly, H.-B., Gróf, G., Ho, H. L., & Bui, D. T. (2018). A comparative assessment of flood susceptibility modeling using multi-criteria decision-making methods. Environmental Earth Sciences, 77, 660. https://doi.org/10.1007/s12665-018-7809-4
Latinopoulos, D., & Kechagia, K. (2015). A GIS-based multi-criteria evaluation for wind farm site selection. Renewable Energy, 78, 550–560. https://doi.org/10.1016/j.renene.2015.01.041
Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote sensing and image interpretation (7th ed.). Wiley.
Liu, Z., Ostrenga, D., Teng, W., & Kempler, S. (2019). Tropical rainfall measuring mission (TRMM) precipitation data and services for research and applications. Bulletin of the American Meteorological Society, 93(9), 1317–1325. https://doi.org/10.1175/BAMS-D-11-00152.1
Nguyen, H. X., et al. (2020). GIS-based fuzzy AHP for flood susceptibility mapping. Applied Sciences, 10(20), 7142. https://doi.org/10.3390/app10207142
Nguyen, T. T., et al. (2020). Flood susceptibility modeling using GIS-based machine learning approaches. Water, 12(3), 683. https://doi.org/10.3390/w12030683
Pradhan, B. (2010). Flood susceptible mapping and risk area delineation using logistic regression, GIS and remote sensing. Journal of Spatial Hydrology, 9(2), 1–18.
Pratama, M. B., et al. (2021). Flood disaster analysis in South Kalimantan. International Journal of Remote Sensing and Earth Sciences, 18(1), 1–12. https://doi.org/10.30536/j.ijreses.2021.v18.a3438
Putra, A. D., et al. (2021). Pengaruh perubahan tutupan lahan terhadap limpasan permukaan dan risiko banjir di wilayah perkotaan. Jurnal Ilmu Lingkungan, 19(2), 123–134.
Purwanto, A., et al. (2024). Flood vulnerability assessment using spatial analysis. Indonesian Journal of Geography, 56(1), 45–58.
Rahman, M. M., et al. (2024). Flood susceptibility mapping using geospatial techniques and distance-based analysis. Water, 16(2), 210. https://doi.org/10.3390/w16020210
Restianto, Y., et al. (2023). Analisis jarak terhadap sungai dalam pemodelan kerawanan banjir berbasis GIS. Jurnal Teknik Hidrologi, 14(2), 89–101.
Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.
Samanta, R. K., Bhunia, G. S., Shit, P. K., & Pourghasemi, H. R. (2018). Flood susceptibility mapping using geospatial techniques and machine learning models. Science of the Total Environment, 626, 147–161. https://doi.org/10.1016/j.scitotenv.2018.01.044
Samanta, S., Pal, D. K., & Palsamanta, B. (2018). Flood susceptibility analysis through remote sensing, GIS and frequency ratio model. Applied Water Science, 8(2), 66. https://doi.org/10.1007/s13201-018-0710-1
Shuster, W. D., Bonta, J., Thurston, H., Warnemuende, E., & Smith, D. R. (2005). Impacts of impervious surface on watershed hydrology. Journal of Hydrologic Engineering, 10(4), 339–346. https://doi.org/10.1061/(ASCE)1084-0699(2005)10:4(339)
Simangunsong, P., et al. (2024). Pengaruh jenis tanah dan elevasi terhadap kerawanan banjir. Jurnal Ilmu Kebumian, 9(1), 22–34.
Slocum, T. A., McMaster, R. B., Kessler, F. C., & Howard, H. H. (2009). Thematic cartography and geovisualization (3rd ed.). Pearson.
Sørensen, R., Zinko, U., & Seibert, J. (2006). On the calculation of the topographic wetness index: Evaluation of different methods. Hydrology and Earth System Sciences, 10(1), 101–112. https://doi.org/10.5194/hess-10-101-2006
Stiawan, M., et al. (2023). Pemodelan kerawanan banjir berbasis SIG di wilayah pesisir. Jurnal Sumber Daya Air, 19(1), 15–27.
Tehrany, M. S., Pradhan, B., & Jebur, M. N. (2014). Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models. Journal of Hydrology, 512, 332–343. https://doi.org/10.1016/j.jhydrol.2014.03.008
Tehrany, M. S., et al. (2015). Flood susceptibility assessment using GIS-based support vector machine. Environmental Earth Sciences, 73, 593–606. https://doi.org/10.1007/s12665-014-3442-3
Twele, A., Cao, W., Plank, S., & Martinis, S. (2016). Sentinel-1-based flood mapping: A fully automated processing chain. International Journal of Remote Sensing, 37(13), 2990–3004. https://doi.org/10.1080/01431161.2016.1192304
United States Geological Survey (USGS). (2015). Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global. USGS. https://doi.org/10.5066/F7PR7TFT
Wijayanti, R., et al. (2025). Dampak perubahan penggunaan lahan terhadap peningkatan risiko banjir di wilayah urban. Jurnal Perencanaan Wilayah, 10(1), 1–12.
Yamamoto, K., et al. (2021). Climate change and flood inundation: A global perspective. Progress in Earth and Planetary Science, 8(1), 5. https://doi.org/10.1186/s40645-020-00386-4
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
Zhang, Y., et al. (2025). Rainfall–runoff processes and flood risk under changing climate conditions. Journal of Hydrology, 640, 130123. https://doi.org/10.1016/j.jhydrol.2025.130123
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