ANALISIS TINGKAT KERAWANAN LONGSOR MENGGUNAKAN METODE FUZZY LOGIC DAERAH TALANG SEJEMPUT DAN SEKITARNYA, KABUPATEN LAHAT, SUMATERA SELATAN

ARBI, RONALD and Sutriyono, Edy (2022) ANALISIS TINGKAT KERAWANAN LONGSOR MENGGUNAKAN METODE FUZZY LOGIC DAERAH TALANG SEJEMPUT DAN SEKITARNYA, KABUPATEN LAHAT, SUMATERA SELATAN. Undergraduate thesis, Sriwijaya University.

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Abstract

This study refers to six related aspects or parameters: slope, morphological elevation, lithology (rock), rainfall, land cover and lineament density. The analysis process is carried out by classifying each parameter using the fuzzy logic method will represent the processed data in the form of visualization from qualitative values to quantitative outputs. In addition, data processing is carried out with the help of GIS-based software (Geographic Information System) by overlaying the parameters that cause landslides at the research location. Based on the landslide susceptibility analysis at the research site, there are two levels of landslide susceptibility levels: medium and high. Differences influence the various levels of landslide susceptibility found in the research location in the values of related parameters that can cause landslides, such as low vulnerability levels which have morphological characteristics of low hills with rather steep slopes. Then, the level of vulnerability is medium and high with hilly morphology but differs in the level of lithological (rock) resistance so that landslides are likely to occur at that location. Therefore, in advanced stages such as landslide prevention, different applications and treatments are needed for each type of landslide susceptibility so that optimally minimizing and preventing landslides can be carried out.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Lahat, Longsor, SIG, Fuzzy Logic
Subjects: Q Science > QE Geology > QE1-996.5 Geology
Divisions: 03-Faculty of Engineering > 34201-Geological Engineering (S1)
Depositing User: Ronald Arbi
Date Deposited: 03 Aug 2022 03:23
Last Modified: 03 Aug 2022 03:23
URI: http://repository.unsri.ac.id/id/eprint/75546

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