Analysis of Landslide Susceptibility in Klaten Regency

Authors

  • Oryza Febriana Fakultas Geografi, Universitas Muhammadiyah Surakarta
  • Aditya Saputra Fakultas Geografi, Universitas Muhammadiyah Surakarta

DOI:

https://doi.org/10.53824/ijddi.v4i1.65

Keywords:

Mapping, Geographic Information Systems, Susceptibility, Landslide

Abstract

Landslide disasters are frequently occurring events in Indonesia. The northern part of Klaten Regency, situated on the slopes of Mount Merapi, and the southern part, which directly borders limestone hills, are vulnerable to landslides due to their elevated terrain. This research aims to investigate the role of Geographic Information Systems (GIS) in analyzing, mapping, and identifying areas prone to landslide disasters. Mapping landslide susceptibility as a GIS application aims to be a disaster mitigation effort, thereby minimizing the resulting impacts and losses. The mapping is conducted based on the Puslattinak method, using several parameters such as rainfall, slope, rock types, land use, and soil types. This mapping employs a weighted multi-level analysis method, where each parameter has a different weight depending on its influence on landslide disasters. The results of this research include the Landslide Susceptibility Map of Klaten Regency in 2022. According to the research findings, Klaten Regency is divided into three susceptibility classes: low (17,868.23 hectares), medium (41,494.22 hectares), and high (10,533.96 hectares), with rainfall intensity being the most influential parameter

References

Barus, B. (1999). Landslide Hazard Mapping based on GIS Univariate Statistical Classification: Case Study of Ciawi-Puncak-Pacet Regions, West Java. Jurnal Ilmu Tanah dan Lingkungan, 2(1).

BNPB. (2007). Pengenalan Karakteristik Bencana Dan Upaya Mitigasinya Di Indonesia Edisi II. Jakarta Pusat, Indonesia: Direktorat Mitigasi, Lahkar BAKORNAS PB.

BNPB. (2012). Peraturan Kepala Badan Nasional Penanggulangan Bencana (BNPB) No. 02 Tahun 2012 tentang Pedoman Umum Pengkajian Risiko Bencana. Jakarta: Badan Nasional Penganggulangan Bencana (BNPB).

BNPB. (2023). Daftar Informasi Bencana Indonesia (DIBI). Retrieved from https://dibi.bnpb.go.id/

BPBD. (2022). Infografis Kejadian Bencana Kabupaten Klaten Bulan November Tahun 2022. Retrieved from https://bpbd.klaten.go.id/compro/infografis-kejadian-bencana-kabupaten-klaten-bulan-november-tahun-2022

BPBD Klaten. (2022). Infografis Kejadian Bencana Kabupaten Klaten Periode 01 Januari sd 30 Juni 2022. Retrieved from https://bpbd.klaten.go.id/compro/infografis-kejadian-bencana-kabupaten-klaten-periode-01-januari-sd-30-juni-2022

BPS. (2023). Kabupaten Klaten Dalam Angka 2022. Retrieved from https:// https://klatenkab.bps.go.id

Hadi, H., Agustina, S., & Subhani, A. (2019). Penguatan Kesiapsiagaan Stakeholder Dalam Pengurangan Risiko Bencana Gempabumi. Jurnal Geodika, 3(1), 30-40.

Priyono, K. D., Saputra, A., & Jumadi. (2015). Model Black Box Untuk Identifikasi Tingkat Kerawanan Longsorlahan (Landslide Susceptibility) Di Kabupaten Karanganyar, Jawa Tengah. University Research Colloquium 2015, 123-135.

Priyono, K. D., & Utami, R. D. (2015). Analisis Spasial Tingkat Bahaya Longsorlahan Di Kecamatan Kemalang Kabupaten Klaten. The 2nd University Research Coloquium 2015, 496-503.

Puslittanak. (2004). Laporan Akhir Pengkajian Potensi Bencana Kekeringan, Banjir dan Longsor di Kawasan Satuan Wilayah Sungai Citarum-Ciliwung, Jawa Barat Bagian Barat Berbasis Sistem Informasi Geografi. Bogor, Jawa Barat: Pusat Penelitian dan Pengembangan Tanah dan Agroklimat.

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Published

2024-03-28

How to Cite

Febriana, O., & Saputra , A. (2024). Analysis of Landslide Susceptibility in Klaten Regency. International Journal for Disaster and Development Interface, 4(1), 52–68. https://doi.org/10.53824/ijddi.v4i1.65

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