Analisis Tingkat Kerawanan LongsorLahan Berbasis Sistem Informasi Geografis di Kecamatan Cangkringan Kabupaten Sleman

Afifah, Husnun and , Dr. Kuswaji Dwi Priyono, M.Si (2023) Analisis Tingkat Kerawanan LongsorLahan Berbasis Sistem Informasi Geografis di Kecamatan Cangkringan Kabupaten Sleman. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Cangkringan District is one of the sub-districts in Sleman Regency that is prone to the threat of landslides, based on the latest BPBD (Regional Disaster Management Agency) data in 2022, there were 11 incidents. This research utilizes the Geographic Information System application to analyze the level of vulnerability using 5 parameters, namely slope slope, soil type, geology type, rainfall and land use. This research aims to 1) analyze the level of landslide vulnerability in Cangkringan District, Sleman Regency, 2) analyze the dominant factors that cause landslide vulnerability in Cangkringan District, Sleman Regency. The method used in this research is a survey method using land units of analysis. The data analysis methods used are multilevel overlay analysis, frequency table analysis, landslide susceptibility map analysis and field surveys. The results of this research show that the level of landslide vulnerability in Cangkringan District is dominated by the medium level of vulnerability which includes 6 land units, namely V4-III�L-TK, V4-V-L-HL, V5-II-RCK-K, V5-II-RCK -SI, V5-IV-RCK-K and V5-V�RCK-S. The dominant factors causing landslide vulnerability in Cangkringan District are soil type and rainfall. Keywords: Cangkringan District, Landslide Vulnerability, Land Units, Geographic Information System.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	Geographic Information System, Cangkringan District, Land Units, and Landslide Susceptibility.
Subjects:	G Geography. Anthropology. Recreation > G Geography (General)
Divisions:	Fakultas Geografi > Geografi Fakultas Geografi > Geografi Fakultas Geografi > Geografi
Depositing User:	HUSNUN AFIFAH
Date Deposited:	21 Oct 2023 05:38
Last Modified:	21 Dec 2023 03:35
URI:	http://eprints.ums.ac.id/id/eprint/117455

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