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dc.contributor.advisorNasution, Putri Khairiah
dc.contributor.authorSitinjak, Annaria
dc.date.accessioned2025-01-24T03:34:35Z
dc.date.available2025-01-24T03:34:35Z
dc.date.issued2024
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/100577
dc.description.abstractThis research employs a Genetic Algorithm to solve the Multiple Traveling Salesmen Problem (M-TSP) in the context of Crude Palm Oil (CPO) distribution by PT. Miduk Arta Medan to three CPO processing plants in North Sumatra: PKS Torgamba, PKS Aek Raso, and PKS Hapesong. The objective of the research is to find the shortest route from the starting point at PT. Miduk Arta Medan, through each plant, and back to the starting point. The experimental results show the shortest routes for each plant: PKS Torgamba (802 KM), PKS Aek Raso (796 KM), and PKS Hapesong (892 KM). This study demonstrates the potential of Genetic Algorithms in optimizing the logistics distribution efficiency of CPO.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectGenetic Algorithmen_US
dc.subjectMultiple Traveling Salesmen Problem (M-TSP)en_US
dc.subjectCrude Palm Oil (CPO)en_US
dc.subjectLogistics Distributionen_US
dc.subjectPT. Miduk Arta Medanen_US
dc.subjectRoute Optimizationen_US
dc.titleAlgoritma Genetika pada Penyelesaian Multiple Travelling Salesmen Problem (M-TSP) (Studi Kasus: Jasa Pengangkutan CPO (Crude Palm Oil) PT. Miduk Arta Medan)en_US
dc.title.alternativeGenetic Algorithm for Solving the Multiple Travelling Salesmen Problem (M-TSP) Case Study:Crude Palm Oil (CPO) Transportation Services at PT. Miduk Arta Medanen_US
dc.typeThesisen_US
dc.identifier.nimNIM180803077
dc.identifier.nidnNIDN0009128502
dc.identifier.kodeprodiKODEPRODI44201#Matematika
dc.description.pages51 Pagesen_US
dc.description.typeSkripsi Sarjanaen_US
dc.subject.sdgsSDGs 9. Industry Innovation And Infrastructureen_US


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