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dc.contributor.authorD. EFENDI, D. Efendi
dc.contributor.authorHIDAYAH, Entin
dc.contributor.authorHASANUDDIN, Akhmad
dc.date.accessioned2021-07-30T01:45:48Z
dc.date.available2021-07-30T01:45:48Z
dc.date.issued2021-04-01
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/104975
dc.description.abstractLandslides are the disasters that frequently happen in the Bluncong sub-watershed. These incidents have caused damage and malfunction of road infrastructure, bridges, and irrigation buildings. Therefore, it is important to anticipate landslides through the mapping of landslide-susceptibility areas. This study aims to map landslide susceptibility at Bluncong sub watershed, Bondowoso, by using a Geographical Information System and remote sensing. The landslide susceptibility analysis and mapping are conducted based on landslide occurrences with the Frequency Ratio approach. The landslide sites are identified from field survey data interpretation. Digital Elevation Model maps, geological data, land uses and rivers data, and Landsat 8 images are collected, processed, and then built into the GIS platform's spatial database. The selected factors that cause landslide occurrences are land use, distance to the river, aspect, slope, elevation, curvature, and the vegetation index (NDVI). The results show that the accuracy of the map is acceptable. The frequency ratio model gained the area under curve (AUC) value of 0.79. It is found that 9.08% of the area has very high landslide susceptibility. Local governments can use this study's mapping results to minimize the risk at landslidesusceptible zones.en_US
dc.language.isoenen_US
dc.publisherUkarst : Universitas Kadiri Riset Teknik Sipilen_US
dc.subjectBluncongen_US
dc.subjectDEMen_US
dc.subjectFrequency Ratioen_US
dc.subjectLandslideen_US
dc.subjectSatellite Imagesen_US
dc.titleFlood Vulnerability Assessment of Kali Welang Floodplain by Using Analytic Hierarchy Process Based Methodsen_US
dc.typeArticleen_US
dc.identifier.kodeprodiKODEPRODI1910301#TeknikSipil
dc.identifier.nidnNIDN0015126606
dc.identifier.nidnNIDN0027037103


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