Pemetaan Kerawanan Longsor Berbasis Analytical Hierarchy Process di Kecamatan Hulonthalangi, Kota Gorontalo

Fahira Ramadhani Djibran, Yayu Indriati Arifin, Ninasafitri Ninasafitri

Abstract


Landslide susceptibility assessment is essential for supporting geological hazard mitigation in hilly urban areas where slope morphology, lithological conditions, structural discontinuities, rainfall, and land-use dynamics interact. Hulonthalangi District, Gorontalo City, is characterized by steep hillslopes, variable lithology, structural lineaments, and settlement development along slope areas. This study aims to delineate landslide susceptibility zones using an integrated Geographic Information System and Analytical Hierarchy Process approach. Eleven conditioning factors were considered, including slope, rainfall, geology, distance from lineament, distance from stream, soil type, topographic wetness index, aspect, curvature, distance from road, and land use/land cover. The AHP weighting indicates that slope, rainfall, geology, and distance from lineament are the dominant factors controlling slope instability. The resulting landslide susceptibility map consists of five classes: very low, low, moderate, high, and very high. The high susceptibility class occupies 4.636413 km² or 45.44% of the study area, while the very high class covers 0.711134 km² or 6.97%. These zones are mainly associated with steep hillslopes, weathered and fractured lithology, proximity to structural lineaments, and areas affected by surface-water concentration. The generated susceptibility map provides a scientific basis for land-use control, slope management, infrastructure planning, and landslide mitigation in Hulonthalangi District.

Keywords


Landslide susceptibility; Analytical Hierarchy Process; Geographic Information System; Hulonthalangi; Geology

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References


Alcântara, E., Baião, C. F., Guimarães, Y. C., Mantovani, J. R., & Marengo, J. A. (2025). Machine learning reveals lithology and soil as critical parameters in landslide susceptibility for Petrópolis (Rio de Janeiro State, Brazil). Natural Hazards Research, 5(3), 539–553. https://doi.org/10.1016/j.nhres.2025.01.008

Arifin, Y. I., Rauf, J., Akase, N., Djibran, F. R., Nurfaika, Lakilo, A., Jahja, M., & Sakakibara, M. (2025). Integrated geological mapping and spatial distribution of heavy metal contamination with geoaccumulation index assessment in Juriya’s artisanal gold mining region, Gorontalo, Indonesia. Journal of Hazardous Materials Advances, 19, 100861. doi: 10.1016/j.hazadv.2025.100861

Badan Pusat Statistik Kota Gorontalo. (2024). Kota Gorontalo dalam Angka 2024. Badan Pusat Statistik. https://gorontalokota.bps.go.id

Cruden, D. M., & Varnes, D. J. (1996). Landslide types and processes. Dalam A. K. Turner & R. L. Schuster (Ed.), Landslides: Investigation and Mitigation (Nomor 247, hlm. 36–75). Transportation Research Board, National Academy of Sciences.

Eraku, S., & Permana, A. (2020). Analisis Kemampuan dan Kesesuaian Lahan di DAS Alo Provinsi Gorontalo. Jukung (Jurnal Teknik Lingkungan), 6, 86–99. https://doi.org/10.20527/jukung.v6i1.8243

Firomsa, M., & Abay, A. (2019). Landslide assessment and susceptibility zonation in Ebantu district of Oromia region, western Ethiopia. Bulletin of Engineering Geology and the Environment, 78(6), 4229–4239. https://doi.org/10.1007/s10064-018-1398-z

Gautam, P., Kubota, T., Sapkota, L. M., & Shinohara, Y. (2021). Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods. Environmental Earth Sciences, 80(9). https://doi.org/10.1007/s12665-021-09650-2

Guo, Y., & Ma, C. (2023). Elucidating the role of soil hydraulic properties on aspect-dependent landslide initiation. Hydrology and Earth System Sciences, 27(8), 1667–1682. https://doi.org/10.5194/hess-27-1667-2023

Hall, R., & Wilson, M. E. J. (2000). Neogene Suture in Eastern Indonesia. Journal of Asian Earth Sciences, 18, 781–808. https://doi.org/10.1016/S1367-9120(00)00040-7

Ishizaka, A., & Labib, A. (2011). Review of the main developments in the analytic hierarchy process. Dalam Expert Systems with Applications (Vol. 38, Nomor 11, hlm. 14336–14345). https://doi.org/10.1016/j.eswa.2011.04.143

Jari, A., Khaddari, A., Hajaj, S., Bachaoui, E. M., Mohammedi, S., Jellouli, A., Mosaid, H., El Harti, A., & Barakat, A. (2023). Landslide Susceptibility Mapping Using Multi-Criteria Decision-Making (MCDM), Statistical, and Machine Learning Models in the Aube Department, France. Earth (Switzerland), 4(3), 698–713. https://doi.org/10.3390/earth4030037

Kuncoro, E., Rismayanti, I., & Rahman, I. (2021). Pemodelan spasial bahaya dan kerentanan bencana tanah longsor dengan metode AHP berbasis SIG GIS-based AHP spatial modeling for landslide hazard and vulnerability. JURNAL HIMASAPTA, 6(3), 149–158.

MacAfee, E., Lohr, A. J., & de Jong, E. (2024). Leveraging local knowledge for

landslide disaster risk reduction in an urban informal settlement in Manado, Indonesia. International Journal of Disaster Risk Reduction, 111, 104710. https://doi.org/10.1016/j.ijdrr.2024.104710

Mengstie, L., Nebere, A., Jothimani, M., & Taye, B. (2024). Landslide susceptibility assessment in Addi Arkay, Ethiopia using GIS, remote sensing, and AHP. Quaternary Science Advances, 15. https://doi.org/10.1016/j.qsa.2024.100217

Muhimbula, J., Sumari, N. S., & Balz, T. (2025). Landslide Susceptibility Assessment Using AHP, Frequency Ratio, and LSI Models: Understanding Topographical Controls in Hanang District, Tanzania. GeoHazards, 6(3). https://doi.org/10.3390/geohazards6030058

Ninasafitri, N., Pakaya, A., Djibran, F. R., Paladan, R. B., Paladan, R. B., & Pambudi, M. R. (2024). Analisis Kualitas dan Kuantitas Air Tanah Olele untuk Mendukung Pengembangan Geowisata dan Konservasi Lingkungan. Jurnal Riset dan Pengabdian Interdisipliner, 1(1), 109–120. doi: 10.37905/jrpi.v1i1.30082

Panchal, S., & Shrivastava, A. K. (2022). Landslide hazard assessment using analytic hierarchy process (AHP): A case study of National Highway 5 in India. Ain Shams Engineering Journal, 13(3). https://doi.org/10.1016/j.asej.2021.10.021

Pangaribuan, J., Sabri, L. M., & Amarrohman, J. (2019). Analisis Daerah Rawan Bencana Tanah Longsor Di Kabupaten Magelang Menggunakan Sistem Informasi Geografis Dengan Metode Standar Nasional Indonesia Dan Analythical Hierarchy Process. Dalam Jurnal Geodesi Undip Januari (Vol. 8).

Pertiwi, R., Sartohadi, J., Setiawan, M. A., & Maulana, E. (2025). Landslide susceptibility analysis on road sections in Kaligesing District, Indonesia, using Frequency Ratio (FR) approaches. Journal of Degraded and Mining Lands Management, 12(4), 7913–7922. https://doi.org/10.15243/jdmlm.2025.124.7913

Potabuga, J. (2025). Breaking News: Jalan Kelurahan Tenda Gorontalo Tertimbun Longsor, Akses Lumpuh! TribunGorontalo.com. https://gorontalo.tribunnews.com/2025/03/17/breaking-news-jalan-kelurahan-tenda-gorontalo-tertimbun-longsor-akses-lumpuh

Rauf, J., Arifin, Y. I., & Akase, N. (2024). Geomorfologi Daerah Tambang Emas Rakyat Juriya dan Sekitarnya, Kecamatan Bilato, Kabupaten Gorontalo. Journal of Applied Geoscience and Engineering, 3(2), 136–149. doi: 10.34312/jage.v3i2.30322

Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill.

Segoni, S., Pappafico, G., Luti, T., & Catani, F. (2020). Landslide susceptibility assessment in complex geological settings: sensitivity to geological information and insights on its parameterization. Landslides, 17(10), 2443–2453. https://doi.org/10.1007/s10346-019-01340-2

Shitu, K., & Tariq, A. (2025). Geospatial distribution of landslide susceptibility modeling based on Remote Sensing and Geographic Information System. Journal of African Earth Sciences, 230. https://doi.org/10.1016/j.jafrearsci.2025.105732

Sisay, T., Tesfaye, G., Jothimani, M., Reda, T. M., & Tadese, A. (2024). Landslide susceptibility mapping using combined geospatial, FR and AHP models: A case study from Ethiopia’s highlands. Discover Sustainability, 5(1), 474. https://doi.org/10.1007/s43621-024-00730-4

Subedi, P., Devkota, K. C., & Kayastha, P. (2023). Landslide susceptibility mapping using AHP integrated with GIS in Gandaki Province, Nepal. Geoenvironmental Disasters, 10(1), 3. https://doi.org/10.1186/s40677-023-00255-4

Usman, F. T., Arifin, Y. I., Hutagalung, R., & Permana, A. P. (2022). Analisis tipe longsor daerah Pohe Kota Gorontalo berdasarkan orientasi struktur geologi. Journal of Applied Geoscience and Engineering, 1(1), 37–48. https://doi.org/10.34312/jage.v1i1.15517

van Zuidam, R. A. (1985). Aerial photo-interpretation in terrain analysis and geomorphologic mapping. Smits Publishers.

Varnes, D. J. (1978). Slope movement types and processes. Dalam R. L. Schuster & R. J. Krizek (Ed.), Landslides: Analysis and Control (Nomor 176, hlm. 11–33). Transportation Research Board, National Academy of Sciences.




DOI: https://doi.org/10.37905/jage.v5i1.39124

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