Identifikasi Kawasan Rawan Bencana Gerakan Tanah Dengan Menggunakan GIS-MCDA dan AHP di Kecamatan Tirtoyudo, Kabupaten Malang, Jawa Timur
DOI:
https://doi.org/10.52722/cz23jr53Keywords:
gerakan tanah, GIS, MCDPA, AHP, kerawanan longsor, TirtoyudoAbstract
This study aims to map creep susceptibility in Tirtoyudo Sub-district, Malang Regency, using a GIS based on a MCDA approach with AHP weighting in digital elevation data with 0.27 arcsecond. The parameters utilized in this study include slope, rainfall, geology/rock type, soil type, and land cover. Each parameter was spatially analyzed and classified according to its effect on creep occurrence, and subsequently integrated using the weighted overlay method to produce a creep susceptibility zoning map. The results indicate that Tirtoyudo Sub-district is predominantly characterized by a moderate susceptibility zone covering approximately 908.06 ha, followed by a low susceptibility zone of 89.06 ha and a high susceptibility zone of 6.68 ha. This distribution suggests that most of the area falls within a moderate level of susceptibility. The high susceptibility zones, although limited in extent, are concentrated on steep slopes, weak geological formations, and areas with sparse land cover. These results can serve as a scientific basis for disaster mitigation planning and spatial development strategies in landslide-prone areas in the aforementioned sub-district.
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References
[1] J. T. Van Gorsel, “A bibliography and brief history of Indonesia, geology literature,” in Proc. Indon Petrol. Assoc., 33rd Ann. Conv., Indonesian Petroleum Association (IPA), May 2009. doi: 10.29118/IPA.2341.09.G.087.
[2] H. Darman and F. H. Sidi, An Outline of the Geology of Indonesia, Jakarta, Indonesia: Indonesian Association of Geologists, 2000, p. 254.
[3] J. P. G. N. Rochman, M. A. Sadewa, and A. M. Putra, “Earthquake microzonation using microtremor analysis and horizontal to vertical spectral ratio method: Study case at Ampelgading and Tirtoyudo Sub-district, Malang, East Java,” in Proceedings of the 12th International Conference on Green Technology (ICGT 2022), Advances in Engineering Research Series, vol. 221, Dordrecht, The Netherlands: Atlantis Press, 2023.
[4] X. Wang, J. Wang, H. Zhan, P. Li, H. Qiu, and S. Hu, “Moisture content effect on the creep behavior of loess for the catastrophic Baqiao landslide,” CATENA, vol. 187, p. 104371, Apr. 2020, doi: 10.1016/j.catena.2019.104371.
[5] I. Ketut Ari Pegatariana, A. Susilo, F. Aprilia, and B. Hangga Triyo Eko Putro, “Tracing Geological Stories: A Geotrail Study in Purwodadi Village, Tirtoyudo District, Malang Regency,” IOP Conf. Ser. Earth Environ. Sci., vol. 1424, no. 1, p. 012006, Dec. 2024, doi: 10.1088/1755-1315/1424/1/012006.
[6] S. J. Carver, “Developing web-based GIS/MCE: Improving access to data and spatial decision support tools,” in Spatial Multicriteria Decision-Making and Analysis: A Geographic Information Sciences Approach, J. C. Thill, Ed., Aldershot, UK: Ashgate, 1999, pp. 49–75.
[7] J. Malczewski, “GIS-based multicriteria decision analysis: A survey of the literature,” International Journal of Geographical Information Science, vol. 20, no. 7, pp. 703–726, Aug. 2006, doi:10.1080/13658810600661508.
[8] T. Nainggolan, S. S. Sai, A. Lomi, A. Y. Mabrur, and R. Andinisari, “Web-based GIS spatial decision support system for infrastructural maintenance of roads and irrigation facilities in Central and East Sumba,” in Proc. The 3rd International Conference on Natural Sciences, Mathematics, Applications, Research, and Technology (ICON-SMART 2022): Mathematical Physics and Biotechnology for Education, Energy Efficiency, and Marine Industries, vol. 3132, Kuta, Indonesia: AIP Publishing, 2024, p. 040010.
[9] R. Greene, J. E. Luther, R. Devillers, and B. Eddy, “An approach to GIS-based multiple criteria decision analysis that integrates exploration and evaluation phases: Case study in a forest-dominated landscape,” For. Ecol. Manag., vol. 260, no. 12, pp. 2102–2114, Dec. 2010, doi: 10.1016/j.foreco.2010.08.052.
[10] B. Aksoy and M. Ercanoglu, “Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey),” Comput. Geosci., vol. 38, no. 1, pp. 87–98, Jan. 2012, doi: 10.1016/j.cageo.2011.05.010.
[11] R. Greene, R. Devillers, J. E. Luther, and B. G. Eddy, “GIS‐Based Multiple‐Criteria Decision Analysis,” Geogr. Compass, vol. 5, no. 6, pp. 412–432, Jun. 2011, doi: 10.1111/j.1749-8198.2011.00431.x.
[12] H. Taherdoost and M. Madanchian, “Multi-criteria decision making (MCDM) methods and concepts,” Encyclopedia, vol. 3, no. 1, pp. 77–87, 2023, doi: 10.3390/encyclopedia3010006.
[13] M. F. Yassar, M. Nurul, N. Nadhifah, N. F. Sekarsari, R. Dewi, R. Buana, S. N. Fernandez, and K. A. Rahmadhita, “Penerapan weighted overlay pada pemetaan tingkat probabilitas zona rawan longsor di Kabupaten Sumedang, Jawa Barat,” Jurnal Geosains dan Remote Sensing, vol. 1, no. 1, pp. 1–10, 2020, doi: 10.23960/jgrs.2020.v1i1.13.
[14] I. Hassan, M. A. Javed, M. Asif, M. Luqman, S. R. Ahmad, A. Ahmad, S. Akhtar, and B. Hussain, “Weighted overlay based land suitability analysis of agricultural land in Azad Jammu and Kashmir using GIS and AHP,” Pakistan Journal of Agricultural Sciences, vol. 57, no. 6, pp. 1509–1519, 2020, doi: 10.21162/PAKJAS/20.9507.
[15] R. Sujanto, R. Hadisantono, R. Kusnama, R. Chaniago, and R. Baharudin, Peta Geologi Lembar Turen, Jawa, Bandung, Indonesia: Pusat Penelitian dan Pengembangan Geologi, 1992.
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