Identification of Landslide Susceptibility Level in Buffer Village Lore Lindu National Park Using Scoring Method
DOI:
https://doi.org/10.59653/ijmars.v1i02.96Keywords:
landslide susceptibility, vulnerability, scoring, overlay, lore linduAbstract
A landslide is a form of natural phenomenon that often occurs in mountainous and hilly regions with steep up to very steep slopes. Landslides are one of the most dangerous natural hazards and occur frequently in many hilly or mountainous areas, often occurring without warning and causing loss of life and property, marked with movement material of slope-forming materials in the form of rocks, soil, or materials down the slope. This study aimed to identify the distribution of landslide-prone areas in 86 buffer villages in Lore Lindu National Park, Central Sulawesi Province using geographic information system (GIS) based spatial analysis with scoring and overlay. The research parameters consisted of land cover/use, rainfall, elevation, slope, soil type, lithology, and distance from the fault. Identification of vulnerability factors for susceptibility level was determined according to 7 parameters used in the analysis. The results showed that the level of landslide susceptibility in the study area was divided into 3 classes, namely low (85.679,74 ha), moderate (363.184,89 ha), and high (26.888,46 ha). Villages that have a high level of vulnerability are Lempelero, Runde, Sedoa, Tuare, and Tongoa.
Downloads
References
Akbar, F. S., Vira, B. A., Doni, L. R., Putra, H. E., & Efriyanti, A. (2020). Application of the Weighted Overlay Method for Mapping of Tsunami Affected Settlement Exposure Zones (Case Study: Bengkulu City and Central Bengkulu Regency). Jurnal Geosains dan Remote Sensing, 1(1), 43–51. https://doi.org/10.23960/jgrs.2020.v1i1.17
Akhbar, M. B., & Somba, B. E. Golar, (2013). AR4-50 Model, The Extraction of Spectral Values Into Remote Sensing Image Data-Based Land Use Class. Agrivita, Journal of Agricultural Science, 255-262. http://doi.org/10.17503/agrivita.v35i3.313
Aditama, T., & Fatimah, F. (2020). The Role Of Microseismic And Geology Data For The Analysis Of Landslide Potential In The Cinomati Area, Pleret–Dlingo Sub-District, Bantul District, Yogyakarta Special Region. GEODA , 1 (2), 95-104.
Asmare, D. (2022). Landslide hazard zonation and evaluation around Debre Markos town, NW Ethiopia-a GIS-based bivariate statistical approach. Scientific African, 15, e01129. https://doi.org/10.1016/j.sciaf.2022.e01129
Eraku, S., Lahay, R.J. & Akase, N. (2019). Utilization of the Storie Method to Analyze the Spatial Distribution of Ground Movement Vulnerability in the Limboto Watershed Area, Gorontalo Province. International Journal of Innovative Science and Research Technology, 4(6), 55-60.
Erfani, S., Naimullah, M., & Winardi, D. GIS Scoring and Overlay Methods for Mapping Landslide Vulnerability in Lebak Regency, Banten. Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat, 20(1), 61-79.
Fadli, D. I., Hadi, A. I., Allifya, Z., Anggriani, S., Ramdani, R., Idris, B. S., & Refrizon. (2023). "Identification of Landslide-Prone Areas by Microzonation on Provincial Alternative Roads using the Simple Additive Weighting (SAW) Method." Indonesian Journal of Applied Physics, 13(1), 37–52. https://doi.org/10.13057/ijap.v13i1.62110
Faizana, F., Nugraha, A., & Yuwono, B. (2015). Landslide Disaster Risk Mapping in Semarang City. Undip Journal of Geodesy, 4(1), 223–234.
Hamida, F. N., & Widyasamratri, H. (2019). Landslide Area Risk in Disaster Mitigation Efforts Using Geographic Information Systems. Pondasi, 24(1), 67. https://doi.org/10.30659/pondasi.v24i1.4997
Kinanti, A., Awaluddin, M., & Yusuf, M. A. (2023). Analysis of Landslide Disaster Risk Mapping Based on Geographical Information Systems (Case Study: Candisari District, Semarang City). Jurnal Geodesi Undip, 11(3), 121–130.
Kurniawan, R. (2019). Determination of landslide susceptibility level using scoring method in Pugung Area, Tanggamus. IOP Conference Series: Materials Science and Engineering 620, 012126.
Krisnandi, R., Trianda, O., Rizqi, A., Febby, L., & Hanafi, M. (2021). Identification of Landslide-Prone Areas Scoring Method for Central Mojo and Surrounding Areas, Reban District, Batang Regency, Central Java Province. ReTII, 501-508.
Muntohar, A. S. (2010). Tanah Longsor: Analisis-Prediksi-Mitigasi. Universitas Muhammadiyah Yogyakarta, 13.
Nugroho, JA., Sukojo, BM., & Sari, IL. (2010). Mapping of Landslide Prone Areas with Remote Sensing and Geographic Information Systems (Case Study: Protected Forest Areas of Mojokerto Regency). Geoid, 5 (2), 110-117.
Nurlina, N., Ridwan, I., & Siregar, SS (2014). Analysis of the Level of Flood Disaster Vurnerability and Mitigation in Astambul District, Banjar Regency. Flux Physics Journal: Scientific Journal of Physics FMIPA, Lambung Mangkurat University , 11 (2), 100-107.
Promper, C., Puissant, A., Malet, J. P., & Glade, T. (2014). Analysis of land cover changes in the past and the future as contribution to landslide risk scenarios. Applied Geography, 53, 11-19.
Rahmad, R., Suib, S., & Nurman, A. (2018). GIS Application for Mapping Landslide Threat Level in Sibolangit District, Deli Serdang Regency, North Sumatra. Indonesian Geography Magazine, 32(1), 1. https://doi.org/10.22146/mgi.31882
Rakuasa, H., Supriatna, S., Tambunan., M,P., Salakory, M., Pinoa, W, S. (2022). Spatial Analysis of Landslide Potential Areas in Ambon City Using the SMORPH Method. Journal of Land and Land Resources, 9(2), 213–221. https://doi.org/10.21776/ub.jtsl.2022.009.2.2
Rahayu, AMU, Ardiansyah, AN, & Nuraeni, NS (2019). Landslide Hazard Area in Pamijahan District, Bogor Regency. Journal of Geography Gea , 19 (1), 1-8.
Sari, V. P., Hermawan, A., Suseno, S. H., & Nugroho, D. A. (2020). The Role of Facilitating Socialization of the Disaster Emergency Response System as a Landslide Mitigation Effort in Hamlet 06 Cimahpar Village. Journal of Community Innovation Center, 2(1), 104–107.
Sigit, A. A., Priyono, P. P., & Andriyani, A. A. (2011). Web-Based Geographic Information System (GIS) Application for Flood Monitoring in the Upstream Bengawan Solo Watershed Area. Semantik, 1(1).
Sholikhan, M., Prasetyo, S. Y. J., & Hartomo, K. D. (2019). Utilization of webgis for mapping landslide-prone areas in Boyolali district using the scoring and weighting method. Journal of Informatics Engineering and Information Systems, 5(1).
Suni, M. A., Nurulaeni, M., & Kurniawan, A. D. (2023). Analysis of the level of vulnerability to flooding using a geographic information system in the Toili sub-watershed, Banggai Regency. Nusantara Hasana Journal, 2(9), 100-108.
Sustriani. (2012). Effect of Joint Structure on the Stability of the Southwestern and Northeastern Wall Slopes in the Phase 6 Design of PT Newmont Nusa Tenggara's Batu Hijau Open Pit Mine. Geological Engineering E-Journal, 5(1), 275–286.
Triwahyuni, L., Sobirin, S., & Saraswati, R. (2017). Spatial Analysis of Landslide Potential Areas with Methods SINMAP and SMORPH in Kulon Progo Regency, Yogyakarta Special Region. Industrial Proceedings National Research Workshop and Seminar, 69–76. https://doi.org/https://doi.org/10.35313/irwns.v8i3.701
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2023 Muhammad Adam Suni, Cesar Andi Mappatoba, Muhammad Darmawan Basoka

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).