Rail Widi Hananto, - and Asep Mulyadi, - and Silmi Afina Aliyan, - (2025) PEMANFAATAN SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN DAERAH RAWAN LONGSOR MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS DI KECAMATAN SEMPOR KABUPATEN KEBUMEN. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Kecamatan Sempor di Kabupaten Kebumen memiliki tingkat kejadian bencana tanah longsor tinggi. Penelitian terkait pemetaan daerah rawan longsor di Kecamatan Sempor bertujuan untuk menganalisis faktor penyebab tanah longsor menggunakan metode Analytical Hierarchy Process, memetakan daerah rawan longsor dan menganalisis akurasi tingkat rawan longsor, dan mengetahui persebaran dan luasan tingkat kerawanan longsor. Penelitian ini menggunakan parameter fisik berupa kemiringan lereng, curah hujan, jenis tanah, penggunaan lahan, kerapatan vegetasi, jenis geologi, dan buffer sungai. Metode yang digunakan yaitu Analytical Hierarchy Process untuk mendapatkan bobot parameter paling berpengaruh terhadap longsor di Kecamatan Sempor, yang selanjutnya diolah menggunakan sistem informasi geografis untuk menghasilkan pemetaan daerah rawan longsor di Kecamatan Sempor uji akurasi digunakan perhitungan metode confusion matrix dan koefisien kappa. Persebaran dan luas dihitung secara statistik menggunakan metode sistem informasi geografis. Penelitian yang telah dilakukan menghasilkan parameter fisik yang paling berpengaruh yaitu curah hujan. Pemetaan tingkat daerah rawan longsor dibagi menjadi lima kelas dengan dominasi kelas kerawanan tinggi dengan luas 2.919,77 Ha (29,74%), kelas kerawanan sedang memiliki luas 2.588,88 Ha (26,37%), kelas kerawanan rendah memiliki luas 1.646,61 Ha (16,77%), kelas kerawanan sangat tinggi memiliki luas 1.545,54 Ha (15,74%), dan kelas tidak rawan memiliki luas 1116.60 Ha (11,37%). Uji akurasi koefisien kappa menghasilkan nilai 90,24% dengan persebaran 64 titik sampel menggunakan metode stratified random sampling. Penggunaan metode Analytical Hierarchy Process untuk pemetaan daerah rawan longsor di Kecamatan Sempor memiliki akurasi yang tinggi berdasarkan kondisi fisik dan kejadian lapangan bencana tanah longsor di wilayah kajian. Sempor District in Kebumen Regency has a high incidence rate of landslide disasters. Research related to the mapping of landslide-prone areas in Sempor District aims to analyze the factors causing landslides using the Analytical Hierarchy Process method, map landslide-prone areas and analyze the accuracy of landslide-prone levels, and determine the distribution and extent of landslide-prone levels. This study uses physical parameters in the form of slope slope, rainfall, soil type, land use, vegetation density, geological type, and river buffer. The method used is the Analytical Hierarchy Process to obtain the weight of the most influential parameters for landslides in Sempor District, which is then processed using a geographic information system to produce a mapping of landslide-prone areas in Sempor District, the accuracy test is used to calculate the confusion matrix method and the Kappa coefficient. Distribution and area are statistically calculated using the geographic information system method. The research that has been carried out has produced the most influential physical parameter, namely rainfall. The mapping of landslide-prone areas is divided into five classes with the dominance of the high vulnerability class with an area of 2,919.77 Ha (29.74%), the medium vulnerability class has an area of 2,588.88 Ha (26.37%), the low vulnerability class has an area of 1,646.61 Ha (16.77%), the very high vulnerability class has an area of 1,545.54 Ha (15.74%), and the non-vulnerable class has an area of 1116.60 Ha (11.37%). The kappa coefficient accuracy test produced a value of 90.24% with a distribution of 64 sample points using the stratified random sampling method. The use of the Analytical Hierarchy Process method for mapping landslide-prone areas in Sempor District has high accuracy based on physical conditions and landslide disaster field events in the study area.
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Item Type: | Thesis (S1) |
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Additional Information: | https://scholar.google.com/citations?view_op=new_profile&hl=en ID SINTA Dosen Pembimbing: Asep Mulyadi: 5994685 Silmi Afina Aliyan: 6749474 |
Uncontrolled Keywords: | Kerawanan, Tanah Longsor, Analytical Hierarchy Process, Sistem Informasi Geografis, Kecamatan Sempor Vulnerability, Landslides, Analytical Hierarchy Process, Geographic Information System, Sempor District |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) G Geography. Anthropology. Recreation > GB Physical geography |
Divisions: | Fakultas Pendidikan Ilmu Pengetahuan Sosial > Sains Informasi Geografi |
Depositing User: | Rail Widi Hananto |
Date Deposited: | 24 Apr 2025 03:26 |
Last Modified: | 24 Apr 2025 03:26 |
URI: | http://repository.upi.edu/id/eprint/132407 |
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