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dc.contributor.advisorSlamet, Bejo
dc.contributor.advisorAnggraini, Novita
dc.contributor.authorNababan, Angelius Mangatasi
dc.date.accessioned2023-08-10T23:53:57Z
dc.date.available2023-08-10T23:53:57Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/86512
dc.description.abstractUtilization and Management of the Belawan Watershed (DAS) still pays little attention to aspects of sustainability, causing problems such as reduced water quality in the Belawan Watershed. The Belawan Watershed is located in Medan City and Deli Serdang Regency with a large population. Medan City is the center of economic, educational and industrial activities. This has the potential to trigger changes in land cover around the Belawan watershed. This study aims to analyze changes in land cover in the Belawan watershed in 2012, 2017, 2022 and predict land cover in 2032 with 5 changes in parameters (driving factors), namely distance from the river, distance from the road, land height, population density and slope. This study uses Cellular Automata Marcov Chain modeling to predict changes in land cover in 2032. The results show that the predicted land cover is water bodies 998,409 ha (1,36%), dryland forest 970,399 ha (1,32%), mangrove forest 3.351,496 ha (4,58%), settlements 11.600,105 ha (15,85%), plantations 38.787,924 ha (53,01%), agriculture 8.674,632 ha (11,85%), rice fields 5.568,183 ha (7,6%) and ponds 3.218,175 ha (4,3%)en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectBelawan Watersheden_US
dc.subjectCellular Automataen_US
dc.subjectGeographic Information Systemen_US
dc.subjectLand Coveren_US
dc.subjectMappingen_US
dc.subjectMarcov Chainen_US
dc.subjectSDGsen_US
dc.titlePrediksi Perubahan Tutupan Lahan Menggunakan Model Cellular Automata-Marcov Chain di Daerah Aliran Sungai (DAS) Belawan.en_US
dc.typeThesisen_US
dc.identifier.nimNIM191201145
dc.identifier.nidnNIDN0009077503
dc.identifier.nidnNIDN0128118902
dc.identifier.kodeprodiKODEPRODI54251#Kehutanan
dc.description.pages57 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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