Analisa Tingkat Kerentanan Longsor Menggunakan Metode Weighted Linear Combination( WLC)-The Analytic Hierachy Process (AHP) ( Studi Kasus Kecamatan Bone Pantai)

Wumu, Romansah (2016) Analisa Tingkat Kerentanan Longsor Menggunakan Metode Weighted Linear Combination( WLC)-The Analytic Hierachy Process (AHP) ( Studi Kasus Kecamatan Bone Pantai). Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kecamatan Bone Pantai merupakan daerah rawan longsor karena kondisi topografi dan perubahan tutupan lahan. Tahun 2001 karena hujan deras terjadi tanah longsor yang mengakibatkan kerusakan dan korban manusia di daerah ini. Analisa yang tepat dan pemodelan yang cocok dapat meminimalisir dampak bencana. Dalam penelitian ini digunakan metode weighted linear combination (WLC) yang dikombinasikan dengan Analytic Hierarchy Process (AHP) dalam menganalisa tingkat kerentanan longsor. Parameter-parameter yang digunakan dalam penentuan daerah rentan bencana longsor dalam penelitian ini adalah elevasi, gradien kemiringan, aspek kemiringan, drainase, jalan, formasi batuan dan tutupan lahan. Hasil pemetaan diverifikasi menggunakan data lapangan, diperoleh total akurasi sebesar 80% dengan indeks statistik Kappa 0,7337. ================================================================================================= Bone Pantai area is prone to landslides because of topography and land cover changes. In 2013 due to heavy rainfall there were landslides resulting in damage and human casualties. Proper analysis and suitable modeling of these dangers may reduce impact of disasters. In this study, weighted linear combination (WLC) combined with the analytical hierarchy process (AHP) methods were used to analysis the susceptibility maps. Elevation, slope angle, slope aspect, drainage, roads, rock formations and the land-cover of the study area are considered as the landslide-conditioning parameters. The result was verified by ground truth assessment of existing landslide location where the susceptibility mapping accuracy was 80% and overall Kappa statistics was 0,7337

Item Type: Thesis (Masters)
Additional Information: RTG 621.367 8 Wum a 3100016068182
Uncontrolled Keywords: Akurasi, Longsor, Pemetaan, Kerentanan, Accuracy, Landslide, Mapping, Susceptibility
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques
Divisions: Faculty of Civil Engineering and Planning > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User: - Davi Wah
Date Deposited: 19 Feb 2020 14:47
Last Modified: 19 Feb 2020 14:47
URI: http://repository.its.ac.id/id/eprint/74911

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