Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/106606
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dc.contributor.authorMUJIB, Muhammad Asyroful-
dc.contributor.authorAPRIYANTO, Bejo-
dc.contributor.authorKURNIANTO, Fahmi Arif-
dc.contributor.authorIKHSAN, Fahrudi Ahwan-
dc.contributor.authorNURDIN, Elan Artono-
dc.contributor.authorPANGASTUTI, Era Iswara-
dc.contributor.authorASTUTIK, Sri-
dc.date.accessioned2022-04-26T02:46:27Z-
dc.date.available2022-04-26T02:46:27Z-
dc.date.issued2021-12-03-
dc.identifier.govdocKodeprodi#1810401#PendidikanBiologi-
dc.identifier.govdocNIDN#0030048904-
dc.identifier.govdocNIDN#0019088706-
dc.identifier.govdocNIDN#0015099002-
dc.identifier.govdocNIDN#0019048905-
dc.identifier.govdocNIDN#0030089003-
dc.identifier.govdocNIDN#0010066705-
dc.identifier.urihttp://repository.unej.ac.id/xmlui/handle/123456789/106606-
dc.description.abstractFlood is one of the most frequent hydrometeorological disasters which leads in economic losses. The first step in flood disaster mitigation efforts is mapping vulnerable areas. Kencong District frequently affected by the annual flooding event. This study aims to assess flood hazard mapping by integrating the AHP method and Geographic Information System. This study used a descriptive quantitative approach through the correlation matrix of the AHP model for each physical environmental factor. These factors include slope, altitude, distance from the river, soil type, Topographic Wetness Index (TWI), and Curvature. Furthermore, with the Geographic Information System (GIS), the weighted overlay stage was carried out to obtain the results of flood-prone areas. Based on the AHP analysis, the most significant factors in determining flood-prone areas were the distance from rivers, slopes, and TWI. The results of flood-prone areas mapping were divided into five classes: from deficient 0.02%, low 4.26%, medium 37.11%, high 51.89%, and very high 6.72%. Validation of GIS mapping results with data in the field has an AUC value of 84%, which indicates that the prediction of the AHP-GIS model is perfect in flood-prone areas mapping in the Kencong District. The integration of AHP method and Geographic Information System in flood hazard assessment were able to produce a model to evaluate the spatial distribution of flood-prone areas.en_US
dc.language.isootheren_US
dc.publisherGEOSFERA INDONESIAen_US
dc.subjectFlood Hazard Mappingen_US
dc.subjectMulti-criteria decision analysisen_US
dc.subjectAHP Modelen_US
dc.subjectGISen_US
dc.subjectJemberen_US
dc.titleAssessment of Flood Hazard Mapping Based on Analytical Hierarchy Process (AHP) and GIS: Application in Kencong District, Jember Regency, Indonesiaen_US
dc.typeArticleen_US
Appears in Collections:LSP-Jurnal Ilmiah Dosen



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