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dc.contributor.advisorZaitunah, Anita
dc.contributor.authorSihotang, Virgo Andrean
dc.date.accessioned2025-04-16T01:55:05Z
dc.date.available2025-04-16T01:55:05Z
dc.date.issued2025
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/103070
dc.description.abstractThe development of various sectors in urban areas is much faster compared to rural areas, making it crucial to continuously monitor land cover changes in urban regions due to their environmental, economic, and social impacts. Medan, the capital of North Sumatra Province and the third-largest city in Indonesia, experiencing growth, and expansion in that region may trigger land cover changes. This study aims to analyze land cover changes in Medan in 1993, 2003, 2013, and 2023 and predict land cover in 2033 using six driving factors: distance from roads, distance from rivers, distance from settlements, population density, elevation, and slope. This research provides valuable information on land cover changes and predictions in the city of Medan as input and consideration for the government in planning and developing the city of Medan in the future. The land cover classification used in this study follows the supervised classification method with maximum likelihood classification, while the artificial neural network-cellular automata algorithm is applied to predict land cover. The results indicate that between 1993 and 2023, the land cover category that consistently increased was settlements, reaching an area of 16,186.50 ha (57.61%) in 2023. The land cover prediction for Medan City in 2033 indicates the distribution of land cover classes as follows: cloud cover 2.97 ha (0.01%), water bodies 562.77 ha (2.00%), mangrove forests 2,174.13 ha (7.74%), mixed plantations 427.32 ha (1.52%), open land 666.27 ha (2.37%), plantations 1,401.39 ha (4.99%), settlements 17,675.91 ha (62.91%), dryland agriculture 2,205.90 ha (7.85%), rice fields 312.48 ha (1.11%), shrubs 1,065.87 ha (3.79%), and fish ponds 1,601.91 ha (5.70%).en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCellular Automataen_US
dc.subjectLand Coveren_US
dc.subjectMedan Cityen_US
dc.subjectPredictionen_US
dc.titlePrediksi Perubahan Tutupan Lahan Menggunakan Algoritma Artificial Neural Network-Cellular Automata Di Kota Medanen_US
dc.title.alternativePrediksi Perubahan Tutupan Lahan Menggunakan Algoritma Artificial Neural Network-Cellular Automata Di Kota Medanen_US
dc.typeThesisen_US
dc.identifier.nimNIM201201060
dc.identifier.nidnNIDN0030087305
dc.identifier.kodeprodiKODEPRODI54251#Kehutanan
dc.description.pages85 pagesen_US
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 15. Life On Landen_US


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