Analisis Kerawanan Bencana Longsorlahan di Kecamatan Prambanan

Muthia, Rachma and -, Dr. Kuswaji Dwi Priyono, M.Si and -, Ir. Taryono, M.Si and -, Agus Anggoro Sigit, S.Si, M.Sc (2018) Analisis Kerawanan Bencana Longsorlahan di Kecamatan Prambanan. Skripsi thesis, Universitas Muhammadiyah Surakarta.

[img] PDF (Naskah Publikasi)
NASKAH PUBLIKASI.pdf

Download (814kB)
[img] PDF (Halaman Depan)
HALAMAN DEPAN.pdf

Download (268kB)
[img] PDF (Bab I)
BAB 1.pdf

Download (226kB)
[img] PDF (Bab II)
BAB II.pdf
Restricted to Repository staff only

Download (97kB) | Request a copy
[img] PDF (Bab III)
BAB III.pdf
Restricted to Repository staff only

Download (209kB) | Request a copy
[img] PDF (Bab IV)
BAB IV.pdf
Restricted to Repository staff only

Download (895kB) | Request a copy
[img] PDF (Bab V)
BAB V.pdf
Restricted to Repository staff only

Download (68kB) | Request a copy
[img] PDF (Bab VI)
BAB VI.pdf
Restricted to Repository staff only

Download (10kB) | Request a copy
[img] PDF (Daftar Pustaka)
DAFTAR PUSTAKA.pdf

Download (80kB)
[img] PDF (Lampiran)
LAMPIRAN.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[img] PDF (Surat Pernyataan Publikasi)
Surat Pernyataan Publikasi.pdf
Restricted to Repository staff only

Download (82kB) | Request a copy

Abstract

Landslide is one of the disasters that often occur in Indonesia. Sub-district Prambanan is one of region in District Sleman which included in the sub-district with a high degree of landslide vulnerability. This study aims to determine the spread of landslide vulnerability in Prambanan Sub-district, and to analyze the use of multilevel method for determining the level of vulnerability of landslide disaster in Prambanan Sub-district. Prambanan District is an area of which 70% are hills, that has a steep slope that is prone to landslides. Source of data used are contour data, and secondary data obtained from BAPPEDA Sleman. This study uses a quantitative approach to give a weighted tiered dignity value and use different weights for each variable used in the analysis. Constituent parameters used are land use, slope, rock type, soil type, fault zone / quake, and rainfall obtained from deduction maps thematic maps and field checks. Geographic information systems contribute to process and analyze the parameters of a landslide by using operations intersect. Geographic information systems are very helpful and facilitate the mapping prone to landslides. Data analysis conducted with Geographic Information System resulted in the map of the landslide prone areas in Prambanan Subdistrict from the scoring and overlay process which was done by using a weighted tiered quantitative method which was divided into four classes namely low hazard class 655.55 ha (16%), 1.669.77 ha (41%), high hazard class 1,736.46 ha (42%), and very high hazard class 35.40 ha (1%) in 2018. For medium, high and very high vulnerability classes dominated by villages lies in the eastern part of Sambirejo, Gayamharjo and Wukiharjo villages whereas for low and medium vulnerable classes are dominated by villages located in the western part of Bokoharjo Madurejo and Sumberharjo villages.

Item Type: Karya ilmiah (Skripsi)
Uncontrolled Keywords: Landslide, SIG, Prone
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: Fakultas Geografi > Geografi
Fakultas Geografi > Geografi
Fakultas Geografi > Geografi
Depositing User: RACHMA MUTHIA
Date Deposited: 13 Jul 2018 08:40
Last Modified: 13 Jul 2018 08:40
URI: http://eprints.ums.ac.id/id/eprint/62930

Actions (login required)

View Item View Item