DOI: 10.5176/2251-3353_GEOS13.32
Authors: Sumaryono, Yukni Arifianti, Yunara Dasa Triana, Widya Ika, Wawan Irawan,
and Gede Suantika
Abstract: Susceptibility analysis for predicting landslides has most frequently been done using deterministic methods and statistical methods. Some landslide events caused loss of life, infrastructure and properties. In order to mimimize the risk, the mitigations have been done. These damages can be mitigated if the cause and effect relationships of the events are known. One of the mitigation method is use mapping landslide susceptibility. In this study, we used Weight of Evidence methods to produce landslide susceptibility map.. The study had been carried out, using Landslide Inventory Database of Indonesia (LIDIA), remote sensing data, field surveys and geographic information system (GIS) tools. This methode can be used without requiring geotechnical, groundwater or failure depth data. However, the other factors to influence landslide occurrence, such as elevation, slope aspect, slope angle, distance from drainage, lithology, distance from lineament, soil texture, precipitation, land use/land cover (LULC) and NDVI were considered. Then analytical result verified by using test data of landslide, and the AUC success rate is 0.85 and AUC prediction rate is 0.79 with difference 0.06. This conditions ot the allowed tolerance of 15{6e6090cdd558c53a8bc18225ef4499fead9160abd3419ad4f137e902b483c465}. This is showing good model of landslide susceptibility. The obtained landslide susceptibility map and landslide inventory data base of Indonesia can be used for landslide hazard prevention and mitigation, and proper planning for land use and construction in the future.
Keywords: Landslide susceptibility, LIDIA, Weight of Evidence, GIS
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