Analytical Hierarchy Process (AHP) for Landslide Vulnerability Zoning in the Gumelar Area
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Jan 6, 2026
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Abstract
Landslides are geological disasters that frequently occur in areas with steep topography and minimal vegetation, including in Gumelar Subdistrict, Banyumas Regency. This study aims to map landslide vulnerability zones using a multi-criteria approach with the Analytical Hierarchy Process (AHP) method integrated into a Geographic Information System (GIS). Four main parameters analyzed include slope gradient, rainfall, lithology, and land cover, with weights determined through a pairwise comparison matrix by experts. The results indicate that slope gradient (49.2%) and rainfall (30.9%) are the dominant factors in determining vulnerability levels. The resulting vulnerability map shows the distribution of areas with low, moderate, and high risks, validated using field landslide event data. This study provides an accurate spatial basis for landslide disaster mitigation planning in the study area
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
Reza Fahmi Pahlevi, Hakim, D. K., Tito Pinandita, & Muhammad Hamka. (2026). Analytical Hierarchy Process (AHP) for Landslide Vulnerability Zoning in the Gumelar Area. Jurnal E-Komtek (Elektro-Komputer-Teknik), 9(2), 449-465. https://doi.org/10.37339/e-komtek.v9i2.2556
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[21] T. Saaty, “Fundamental of Decision Making and Priority Theory With the Analytic Hierarchy Process,” vol. VI, Jan. 1994.
[22] S. Suwarno et al., “Analysis of Spatial Planning in Landslide Hazard Zones in Banyumas Regency, Indonesia,” Forum Geogr., vol. 39, no. 1, pp. 79–88, 2025, doi: 10.23917/forgeo.v39i1.6685.
[2] M. J. Froude and D. N. Petley, “Global fatal landslide occurrence from 2004 to 2016,” Nat. Hazards Earth Syst. Sci., vol. 18, no. 8, pp. 2161–2181, 2018, doi: 10.5194/nhess-18-2161-2018.
[3] B. Bidang Pengelolaan Data dan Sistem Informasi (PDSI), Pusdatinkom, “Statistik Bencana, Korban dan Kerusakan Menurut Jenis.” [Online]. Available: https://dibi.bnpb.go.id/statistik_menurut_bencana
[4] T. R. Martha, C. J. van Westen, N. Kerle, V. Jetten, and K. Vinod Kumar, “Landslide hazard and risk assessment using semi-automatically created landslide inventories,” Geomorphology, vol. 184, pp. 139–150, 2013, doi: 10.1016/j.geomorph.2012.12.001.
[5] M. C. Larsen and A. J. Torres-sanchez, “The frequency and distribution of recent landslides in three,” Geomorphology, no. 24, pp. 309–331, 1998.
[6] A. D. Prasakti, “Tanah longsor di Kab. Banyumas.” [Online]. Available: https://bpbd.jatengprov.go.id/main/tanah-longsor-di-kab-banyumas-68/
[7] M. I. H. Saputra and N. Nugraha, “Sistem Pendukung Keputusan Dengan Metode Analytical Hierarchy Process (Ahp) (Studi Kasus: Penentuan Internet Service Provider Di Lingkungan Jaringan Rumah),” J. Ilm. Teknol. dan Rekayasa, vol. 25, no. 3, pp. 199–212, 2020, doi: 10.35760/tr.2020.v25i3.3422.
[8] T. T. N. Nguyen and C. C. Liu, “A new approach using AHP to generate landslide susceptibility maps in the chen-yu-lan watershed, Taiwan,” Sensors (Switzerland), vol. 19, no. 3, 2019, doi: 10.3390/s19030505.
[9] M. J. Nabizada, A. Nikzad, and H. Nasiri, “GIS-Based Landslide Susceptibility Mapping by AHP Method, A Case Study, Bamyan, Afghanistan,” Int. J. Res. Anal. Rev., 2022.
[10] M. I. M. Hanafiah et al., “Landslide susceptibility assessment for cameron highlands using analytical hierarchy process,” Int. J. Eng. Adv. Technol., vol. 9, no. 1, pp. 3494–3499, 2019, doi: 10.35940/ijeat.A2673.109119.
[11] A. N. Isneni, T. T. Putranto, and D. Trisnawati, “Analisis Sebaran Daerah Rawan Longsor Menggunakan Remote Sensing dan Analytical Hierarchy Process (AHP) di Kabupaten Magelang Provinsi Jawa Tengah,” J. Geosains dan Teknol., vol. 3, no. 3, pp. 149–160, 2020, doi: 10.14710/jgt.3.3.2020.149-160.
[12] A. El Jazouli, A. Barakat, and R. Khellouk, “GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco),” Geoenvironmental Disasters, vol. 6, no. 1, 2019, doi: 10.1186/s40677-019-0119-7.
[13] T. Xiong, I. G. B. Indrawan, and D. P. Eka Putra, “Landslide Susceptibility Mapping Using Analytical Hierarchy Process, Statistical Index, Index of Enthropy, and Logistic Regression Approaches in the TinalahWatershed, Yogyakarta,” J. Appl. Geol., vol. 2, no. 2, p. 67, 2018, doi: 10.22146/jag.39983.
[14] Badan Informasi Geospasial, “DEMNAS. Badan Informasi Geospasial.” [Online]. Available: https://tanahair.indonesia.go.id/portal-web/unduh/demnas
[15] Kementerian ESDM., “Peta Geologi Lembar Purwokerto dan Tegal, Jawa.” 1996.
[16] CHRS, “CHRS Data Portal (Rainfall Data 2014-2024). Center for Hydrometeorology and Remote Sensing.” 2024. [Online]. Available: https://chrsdata.eng.uci.edu/
[17] KLHK, “Penutupan Lahan Tahun 2022 (KLHK). ArcGIS REST Services Directory.” 2022.
[18] B. Abolmasov et al., Progress in Landslide Research and Technology, Volume 3 Issue 2, 2024, vol. 3, no. 2. 2024.
[19] Purbandini, R. P. Pratama, and S. Susmiandri, “Application of GIS for the mapping of landslide-vulnerable areas by through android-based Analytical Hierarchy Process (AHP) method in Bantul Regency,” IOP Conf. Ser. Earth Environ. Sci., vol. 245, no. 1, 2019, doi: 10.1088/1755-1315/245/1/012008.
[20] A. Petrillo, Analytic hierarchy process. 2013. doi: 10.1002/9781118644898.ch2.
[21] T. Saaty, “Fundamental of Decision Making and Priority Theory With the Analytic Hierarchy Process,” vol. VI, Jan. 1994.
[22] S. Suwarno et al., “Analysis of Spatial Planning in Landslide Hazard Zones in Banyumas Regency, Indonesia,” Forum Geogr., vol. 39, no. 1, pp. 79–88, 2025, doi: 10.23917/forgeo.v39i1.6685.