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dc.contributor.advisorHastuty, Ika Puji
dc.contributor.authorSiddiq, M. Saddam Rafi
dc.date.accessioned2025-07-10T04:52:53Z
dc.date.available2025-07-10T04:52:53Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/105191
dc.description.abstractIndonesia is a country located in an area of volcanic and tectonic activity and is located between plate confluences. This causes the risk of earthquakes and tsunamis that trigger landslides. Sibolangit District is an area with large plateaus and high rainfall, so there is a great potential for landslides. This study aims to analyze the level of landslide risk based on the Geographic Information System (GIS) which is expected to be useful in more effective landslide disaster mitigation measures in Sibolangit District. This research is located in Sibolangit District which analyzes the level of vulnerability, vulnerability, and capacity of the region using the QGIS 3.22.5 application with scoring and overlay techniques referring to the Minister of Public Works Regulation No. 22/PRT/M/2007 and the Regulation of the Head of BNPN No. 2 of 2012 so as to produce the level of landslide risk which is then validated with the ROC curve. Based on the results of the analysis, the risk level of landslides in Sibolangit District consists of 5 classes, namely the very low risk level class (14,169 km^2), Low-Risk Grade (3,289 km^2), Medium risk class (56,741 km^2), high-risk class (63,542 km^2), and very high risk level classes (24,633 km^2). Sibolangit District is dominated by a high risk level with a total of 8 sub-districts/villages, namely Batu Layang, Bukum, Ketangguhan, Rumah Pil-Pil, Sembahe, Sibolangit, Sikebe, and Suka Maju.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectRisken_US
dc.subjectLandslideen_US
dc.subjectGeographic Information System (GIS)en_US
dc.subjectSibolangit Districten_US
dc.titlePenilaian Risiko Longsor di Kecamatan Sibolangit Berbasis Data Spasial Menggunakan Sistem Informasi Geografis (SIG).en_US
dc.title.alternativeLandslide Risk Assessment In Sibolangit District Based On Spatial Data Using Geographic Information System (GIS)en_US
dc.typeThesisen_US
dc.identifier.nimNIM210404030
dc.identifier.nidnNIDN0007087702
dc.identifier.kodeprodiKODEPRODI22201#Teknik Sipil
dc.description.pages131 Pagesen_US
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 4. Quality Educationen_US


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