Analysis of Landslide Hazard Vulnerability Level in Hukuanakota Village, Inamoso District, West Seram Regency
Analisis Tingkat Kerentanan Bahaya Longsor Di Desa Hukuanakota Kecamatan Inamoso Kabupaten Seram Bagian Barat
Abstract
This study aims to assess the landslide susceptibility of Hukuanakota Village, located in Inamosol District, Seram Bagian Barat Regency, by analyzing various environmental and physical parameters. The parameters examined include slope gradient, rainfall, soil texture, soil permeability, effective soil depth, groundwater depth, vegetation density, previous landslide events, and land use. Utilizing Geographic Information System (GIS) technology, this research successfully developed a landslide susceptibility zoning map, categorized into four levels: low, moderate, high, and very high. The findings reveal that areas with low susceptibility are generally located in flat regions with stable land use, such as settlements and paddy fields, while areas with very high susceptibility are concentrated in steep slopes with high rainfall, poor vegetation cover, and previous landslide occurrences. The study also emphasizes the importance of mitigating strategies such as vegetation planting, the creation of drainage systems, and routine monitoring of soil and slope conditions. The landslide susceptibility map serves as a valuable tool for local governments and communities, providing essential information for land use planning, disaster risk reduction, and improving preparedness against future landslide disasters. With the map’s aid, more effective and targeted mitigation measures can be implemented to reduce the impact of landslides and enhance the community's resilience to natural disasters.
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References
Hardianto, A., Winardi, D., Rusdiana, D. D., Putri, A. C. E., Ananda, F., Devitasari, Djarwoatmodjo, F. S., Yustika, F., & Gustav, F. (2020). Pemanfaatan Informasi Spasial Berbasis SIG untuk Pemetaan Tingkat Kerawanan Longsor di Kabupaten Bandung Barat, Jawa Barat. Jurnal Geosains Dan Remote Sensing, 1(1), 23–31. https://doi.org/10.23960/jgrs.2020.v1i1.16
Haribulan, R., Gosal, P. H., & Karongkong, H. H. (2019). Kajian Kerentanan Fisik Bencana Longsor Di Kecamatan Tomohon Utara. Spasial, 6(3), 714–724.
Hura, J., Gulo, M., Nias, U., & Nias, U. (2024). Analisis permeabilitas tanah berpasir dan tanah lempung dalam hubunganya dengan manajemen irigasi. Jurnal Penarikan, 01, 60–67.
Jurnal, R. T. (2018). Sistem Drainase Aliran Bawah Tanah Untuk Daerah Rawan Longsor (Studi Kasus Sub Das Sungai Cikapundung, Bandung). Lestari, E, 6(2), 81–87. https://doi.org/10.33322/forummekanika.v6i2.121
Luo, L., Guo, W.-Z., Tian, P., Liu, Y., Wang, S.-K., & Luo, J.-W. (2023). Unique landslides (loess slide-flows) induced by an extreme rainstorm in 2018 on the Loess Plateau: A new geological hazard and erosion process. International Journal of Sediment Research, 38(2), 228–239. https://doi.org/https://doi.org/10.1016/j.ijsrc.2022.07.009
Neseriman, A. N. E., Sompie, O. B. A., & Sarajar, A. (2020). Pengujian Kuat Geser Pada Stabilisasi Tanah Lempung Dengan Campuran Arang Tempurung Kelapa Dan Tras Ditinjau Dari Waktu Pemeraman. Jurnal Sipil Statik, 8(5), 779–788.
Rahayu, E. M., & Syarifuddin, A. (2024). Edukasi Pendekatan Vegetatif dalam Upaya Pencegahan Longsor di Desa Sukomulyo Kecamatan Pujon Kabupaten Malang. 2(3), 465–472.
Rahmawati, E., & Virgawati, S. (2024). Sifat Fisik Tanah Sebagai Dasar Mitigasi Gerakan Tanah di Kelurahan Sidorejo Kapanewon Godean Kabupaten Sleman Yogyakarta Prosiding Seminar Nasional Teknologi Inovasi dan Kolaborasi Disiplin Ilmu. 1(1), 66–76.
Risda, S. (2020). Identifikasi Vegetasi dan Sifat Fisik Tanah pada Daerah Bekas Longsor di Sub DAS Jenelata. Universitas Hasanuddin.
Ruhimat, M. (2016). Tekanan Penduduk Terhadap Lahan di Kecamatan Sukaraja Kabupaten Sukabumi. Jurnal Pendidikan Geografi, 15(2), 59–65. https://doi.org/10.17509/gea.v15i2.3548
Sarminah, S., Prititania, F. S., & Karyati. (2018). Pengaruh Keragaman Vegetasi Terhadap Laju Erosi. Agrifor, XVII(2), 355–368.
Serang, K., Agusman, R., Hayana, N. H., & Stiano, D. D. (2023). Pemanfaatan Sistem Informasi Geografis ( SIG ) untuk pemetaan tingkat rawan longsor menggunakan metode skoring dan overlay di Kabupaten Serang, Banten. Jurnal Sains Geografi, 1(2), 1–11. https://doi.org/10.2210/jsg.vx1ix.xxx
Susanti, P. D., Mardini, A., & Harjadi, B. (2017). Analisis Kerentanan Tanah Longsor Sebagai Dasar Mitigasi Di Kabupaten Banjarnegara. Jurnal Penelitian Pengelolaan Daerah Aliran Sungai, 1(1), 49–59.
Susanti, P. D., & Miardini, A. (2019). Identifikasi Karakteristik dan Faktor Pengaruh pada Berbagai Tipe Longsor. 39(2), 97–107.
Susetyo, J. A., Astutik, S., Kurnianto, F. A., Nurdin, E. A., & Pangastuti, E. I. (2023). Pemetaan Daerah Rawan Bencana Tanah Longsor di Wilayah Kecamatan Silo Kabupaten Jember. Jurnal Ilmu Lingkungan, 21(4), 861–869. https://doi.org/10.14710/jil.21.4.861-869
Turasih, Kolopaking, L. M., & Wahyuni, E. S. (2016). Strategi Adaptasi Perubahan Iklim Pada Petani Dataran Tinggi (Studi Petani Di Dataran Tinggi Dieng, Kabupaten Banjarnegara). Sodality: Jurnal Sosiologi Pedesaan, 4(1). https://doi.org/10.22500/sodality.v4i1.14408
