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Landslide Susceptibility Assessment using Analytical Hierarchy Process in West Java

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Bibliographic Details
Title: Landslide Susceptibility Assessment using Analytical Hierarchy Process in West Java
Authors: Kusuma, Ricky Jaya, Meilano, Irwan, Fitri, Intan Hairani
Source: IOP Conference Series: Earth and Environmental Science ; volume 1472, issue 1, page 012035 ; ISSN 1755-1307 1755-1315
Publisher Information: IOP Publishing
Publication Year: 2025
Description: Landslides are the most frequent natural disaster in West Java with around 2,354 occurrences in 1998 – 2024. This is about 36% of the total number of natural disasters in West Java. This disaster caused almost 1,000 fatalities and more than 19,500 infrastructure damage. Landslide susceptibility modeling can be implemented as a basis for landslide risk modeling in Java Island for mitigation purposes. This research aims to assess landslide susceptibility in West Java and evaluate it based on historical landslide occurrence data. The methodology used for the landslide susceptibility model is based on the analysis hierarchy process (AHP) method that can provide an assessment of landslide susceptibility based on expert judgment. Meanwhile, the methodology used for landslide susceptibility model evaluation is receiver operating characteristic (ROC) curve analysis, conducted by comparing the landslide susceptibility model with landslide occurrence data to obtain the area under the curve (AUC) value that shows the performance of the method to build a landslide susceptibility model. As many as seven landslide controlling factors were used to generate the susceptibility model: slope, aspect, land cover, rainfall, peak ground acceleration (PGA), and distance from fault and river. The results showed that West Java is dominated by moderate susceptibility level, which is 42.87% of the total area. The results of model evaluation with ROC curve showed that the model has an AUC value of 0.90447 which means that the method used has a perfect class performance in modeling landslide susceptibility in Java.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1088/1755-1315/1472/1/012035
DOI: 10.1088/1755-1315/1472/1/012035/pdf
Availability: https://doi.org/10.1088/1755-1315/1472/1/012035
https://iopscience.iop.org/article/10.1088/1755-1315/1472/1/012035
https://iopscience.iop.org/article/10.1088/1755-1315/1472/1/012035/pdf
Rights: https://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
Accession Number: edsbas.6064DAA9
Database: BASE
Description
Abstract:Landslides are the most frequent natural disaster in West Java with around 2,354 occurrences in 1998 – 2024. This is about 36% of the total number of natural disasters in West Java. This disaster caused almost 1,000 fatalities and more than 19,500 infrastructure damage. Landslide susceptibility modeling can be implemented as a basis for landslide risk modeling in Java Island for mitigation purposes. This research aims to assess landslide susceptibility in West Java and evaluate it based on historical landslide occurrence data. The methodology used for the landslide susceptibility model is based on the analysis hierarchy process (AHP) method that can provide an assessment of landslide susceptibility based on expert judgment. Meanwhile, the methodology used for landslide susceptibility model evaluation is receiver operating characteristic (ROC) curve analysis, conducted by comparing the landslide susceptibility model with landslide occurrence data to obtain the area under the curve (AUC) value that shows the performance of the method to build a landslide susceptibility model. As many as seven landslide controlling factors were used to generate the susceptibility model: slope, aspect, land cover, rainfall, peak ground acceleration (PGA), and distance from fault and river. The results showed that West Java is dominated by moderate susceptibility level, which is 42.87% of the total area. The results of model evaluation with ROC curve showed that the model has an AUC value of 0.90447 which means that the method used has a perfect class performance in modeling landslide susceptibility in Java.
DOI:10.1088/1755-1315/1472/1/012035