GIS-Based Natural Disaster Vulnerability Mapping in Donggala Regency, Central Sulawesi Province

Risqa Permatasyara Mumin, Deno Ambar Arum, Apriadi Saputra, Djamal Adi Nugroho Uno

Abstract


Donggala Regency has diverse morphology, encompassing coastal areas and complex hilly terrains. Geomorphological studies are essential for understanding landforms and assessing the potential for related natural disasters. This study aims to identify dominant landforms and assess natural disaster vulnerability, including landslides, tsunamis, and liquefaction, using a Geographic Information System (GIS)-based approach. The methods employed in this research include the analysis of topographic maps, satellite imagery, and a review of literature on geological conditions. The results indicate that coastal areas are highly vulnerable to tsunamis, while hilly regions are more susceptible to landslides.

Keywords


Donggala Regency; Geomorphology; Geographic Information System (GIS); Natural Disaster Vulnerability;

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References


Badan Geologi, PVMBG. (2004). Peta Zona Kerentanan Gerakan Tanah Provinsi Jawa Barat. Jakarta.

Badan Nasional Penanggulangan Bencana (2019). Data Informasi Bencana Indonesia (DIBI). Citing Internet source URL https://dibi.bnpb.go.id/superset/dashboard/2/

Budiyanto, D., Trisya Septiana, Mona Arif M. (2020). Pemanfaatan Analisis Spasial Untuk Pemetaan Risiko Bencana Alam Tsunami Menggunakan Pengolahan Data Spasial Sistem Informasi Geografis. Kumpulan jurnal, Ilmu Komputer, Vol 07, No. 02 Juni 2020. pp. 210-218

Carter, W. N. (2008) Disaster Management: A Disaster Manager’s Handbook, Mandaluyong City, Manila: Asian Development Bank

Day, RW. (2001). Kekuatan Tanah dan Stabilitas Lereng . New York: John Wiley & Sons.

Dhakal, AS., Takaaki Amaada, Masamu Aniya. (2000). Landslide Hazard Mapping and its Evaluation Using GIS: An Investigation of Sampling Schemes for Grid-Cell Based Quantitative Method. Photogrammetric Engineering & Remote Sensing. Vol. 66, N0. 8 Agustus 200, pp. 981-898.

Dwiyanto, J. (2002). Tanah longsor: Penyebab dan penanggulangannya. Jakarta: Penerbit Buku Ilmiah Populer.

Faizana, F., Laila Nugraha, A., & Darmo Yuwono, B. (2015). Pemetaan risiko bencana tanah longsor kota semarang. In Jurnal Geodesi Undip Januari Vol. 4, Issue 1.

Habibullah, BM., Rama Mohan P, Jiro Kuwano, and Shinya T. (2012). GIS-Based Soil Liquefaction Hazard Zonation due to Earthquake Using Geotechnical Data. International Journal of GEOMATE, March, 2012, Vo. 2, No.1 (Sl. No.3), pp. 154-160.

Mardalena, A., Yulia Indri Astuty, Adi Wibowo. (2023). Analisis Spasial Temporal Lahan Terbangun Terhadap Rawan Bencana Gempa Bumi di Kabupaten Cianjur. Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi.Volume 7 No. 1 Juni 2023, pp. 86-95.

Nugraha, AL., M Awaluddin, B Sasmito. (2018). Modelling Multi Hazard Mapping in Semarang City Using GIS-Fuzzy Method. In Proceeding of 2nd Geoplanning-International Conference on Geomatics and Palnning. IOP Conf. Series : Earth and Environmental Science 123 (2018) 01 2002.

Sreinritz, V., S Pena-Castellnou, G I Marliyani, and K Reicherter. (2021). GIS-based study of tsunami risk in the Special Region of Yogyakarta (Central Java, Indonesia). In Proceeding of International Conference on Geological Engineering and Geoscience 16-18 March 2021, Yogyakarta; Indonesia. IOP Conference Series: Earth and Environmental Science, Volume 851.

Tambunan, Joshua Ade Oktobery. (2025). Literature Review of the Role of Geographic Information System in Disaster Mitigation Efforts in Indonesia. 7th International Conference on Earth Science, Mineral and Energy (ICEMINE) 2024. IOP Conf. Series : Earth and Environmental Science: 1486 (2025) 012038.

Taufik Q, Firdaus. (2012). Pemetaan Ancaman Bencana Tanah Longsor di Kabupaten Konawe. Kendari : Fisika FMIPA Universitas Haluoleo

Van Zuidam, R.A., (1985). Guide to Geomorphologic Aerial Photographys Interpretation and Mapping, Enschede The Netherlands, 325 h.

Zeffitni, Basir-Cyio, M., Napitupulu, M., & Worosuprojo, S. (2020). Spatial analysis of the liquefaction vulnerability zone based on the phreatic level at the Palu groundwater basin, Central Sulawesi Province. Journal of Physics: Conference Series, 1434(1).




DOI: https://doi.org/10.37905/jage.v5i1.38932

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