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.
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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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