Evaluasi Kesesuaian Spasial Peta Bahaya Tanah Longsor Weighted Overlay dan Peta InaRISK BNPB di Kabupaten Wonogiri
DOI:
https://doi.org/10.29303/goescienceed.v7i2.1800Keywords:
Landslide, Weighted Overlay, InaRISK BNPB, Spatial Suitability, Wonogiri Regency.Abstract
Wonogiri Regency recorded 992 landslide incidents from 2021 to 2025, but the availability of verified local-scale hazard maps is still limited. This study aims to analyze the differences in the area of hazard classes, the spatial suitability of high hazard classes, and the consistency level of both maps against sample points between the landslide hazard map based on the Weighted Overlay modeling and the BNPB InaRISK map in Wonogiri Regency. The Weighted Overlay method is constructed using four physical parameters, namely slope, rainfall, land use, and soil type, which are processed using ArcGIS Pro with the same resolution and scale. Spatial suitability is calculated based on the overlay of high hazard classes, while consistency with sample points is measured using Percentage Agreement at 50 sample points evenly distributed across 25 sub-districts. The results show that the Weighted Overlay map is dominated by the medium hazard class (176,658.12 ha) with full coverage and no NoData areas, whereas the BNPB InaRISK map is dominated by the high hazard class (46,306.08 ha) with several unclassified areas. The agreement of high hazard classes between the two maps only reaches 8.65%, with the highest agreement in Jatiroto District (21.45%) and the lowest in Wuryantoro (0.55%). The consistency level of both maps against sample points is 50%. The low spatial agreement indicates that the national-scale InaRISK BNPB map cannot be directly used as a reference for disaster mitigation at the district level without local adjustments.
References
Alcântara, E., Marengo, J. A., Mantovani, J., Londe, L. R., San, R. L. Y., Park, E., Lin, Y. N., Wang, J., Mendes, T., Cunha, A. P., Pampuch, L., Seluchi, M., Simões, S., Cuartas, L. A., Goncalves, D., Massi, K., Alvalá, R., Moraes, O., Filho, C. S., Mendes, R., and Nobre, C. (2023). Deadly disasters in southeastern South America: flash floods and landslides of February 2022 in Petrópolis, Rio de Janeiro. Natural hazards and earth system sciences, 23(3), 1157-1175. https://doi.org/10.5194/nhess-23-1157-2023
Alharbi, T., El-Sorogy, A. S., & Rikan, N. (2025). Landslide prediction in mountainous terrain using weighted overlay analysis method: a case study of Al Figrah Road, Al-Madinah Al-Munawarah, Western Saudi Arabia. Sustainability, 17(15), 6914. doi.org/10.3390/su17156914
Badan Nasional Penanggulangan Bencana (BNPB). (2012). Peraturan Kepala Badan Nasional Penanggulangan Bencana Nomor 2 Tahun 2012 Tentang Pedoman Umum Pengkajian Risiko Bencana. https://jdih.bnpb.go.id
Badan Nasional Penanggulangan Bencana (BNPB). (2021). Dokumen kajian risiko bencana nasional provinsi Jawa Tengah tahun 2022-2026. https://inarisk.bnpb.go.id
Badan Nasional Penanggulangan Bencana (BNPB). (2025). Data Bencana Di Indonesia Tahun 2025. https://bnpb.go.id/
Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Wonogiri. (2025). Data bencana Kabupaten Wonogiri tahun 2025.
Dahmani, L., Laaribya, S., Naim, H., & Dindaroglu, T. (2025). Development and assessment of landslide susceptibility in the province of Chefchaouen, North-West Morocco, using remote sensing and GIS: a weighted overlay analysis approach. Geographia Technica, 20(2). DOI: 10.21163/GT_2025.202.01
Dewi, H. K., Sigit, A. A., Fikriyah, V., & Ibrahim, M. H. (2025). Analysis of landslide vulnerability levels and disaster mitigation based on geographic information systems GIS in Prambanan District, Sleman Regency. International Journal for Disaster and Development Interface, 5(1), 1-14. https://doi.org/10.53824/ijddi.v5i1.31
Dogra, S., & Bharti, R. (2025). Rainfall variability, soil susceptibility, and landslide vulnerability in Udhampur District in Jammu and Kashmir (India): A spatiotemporal assessment from 2014 to 2024. Environmental Reports; an International Journal. https://doi.org/10.51470/ER.2025.7.2.220
Duan, Y., Ding, M., He, Y., Zheng, H., Delgado-Téllez, R., Sokratov, Durado, F., & Fuchs, S. (2025). Global projections of future landslide susceptibility under climate change. Geoscience Frontiers, 16(4), 102074. https://doi.org/10.1016/j.gsf.2025.102074
Guzzetti, F., Mondini, A. C., Cardinali, M., Fiorucci, F., Santangelo, M., & Chang, K. T. (2012). Landslide inventory maps: New tools for an old problem. Earth-Science Reviews, 112(1-2), 42-66. https://doi.org/10.1016/j.earscirev.2012.02.001
Huang, F., Chen, J., Liu, W., Huang, J., Hong, H., & Chen, W. (2022). Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold. Geomorphology, 408, 108236. https://doi.org/10.1016/j.geomorph.2022.108236
Jayakody, S. H. S., Uzuoka, R., Ueda, K., & Xu, J. (2023). Unsaturated slopes behavior under antecedent intermittent rainfall patterns: centrifuge and numerical study. Acta Geotechnica, 18(11), 5773-5790. https://doi.org/10.1007/s11440-023-02017-w
Kementerian Agraria dan Tata Ruang/Badan Pertanahan Nasional. (2021). Peraturan Menteri Agraria dan Tata Ruang/Kepala Badan Pertanahan Nasional Republik Indonesia Nomor 14 Tahun 2021 tentang Basis Data dan Penyajian Peta Rencana Tata Ruang.
Lanto, M. S., Syam, D. N., Wahyuni, A., & Kusmiran, A. (2022). Pemetaan risiko bencana tanah longsor di Kabupaten Barru menggunakan metode pembobotan parameter dan Inarisk Bnpb. Jurnal Geosaintek, 8(3), 250-259. http://dx.doi.org/10.12962/j25023659.v8i
Rahmawati, D., & Priyono, K. D. (2024). Analisis tingkat kerawanan longsorlahan di Kecamatan Kismantoro Kabupaten Wonogiri dengan sistem informasi geografis (Unpublished undergraduate thesis, Universitas Muhammadiyah Surakarta).
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., & Guzzetti, F. (2018). A review of statistically-based landslide susceptibility models. Earth-science reviews, 180, 60-91. https://doi.org/10.1016/j.earscirev.2018.03.001
Rif'ah, K. D., Jamil, A. M. M., Suwito, S., & Kurniawati, D. (2024). Pemetaan tingkat kerawanan bencana tanah longsor menggunakan metode weighted overlay di Kecamatan Poncokusumo Kabupaten Malang. Journal of Geographical Sciences and Education, 2(4), 139-154. https://doi.org/10.69606/geography.v2i4.137
Shano, L., Raghuvanshi, T. K., & Meten, M. (2020). Landslide susceptibility evaluation and hazard zonation techniques–a review. Geoenvironmental Disasters, 7(1), 18. https://doi.org/10.1186/s40677-020-00152-0
