SISTEM INFORMASI GEOGRAFIS PEMETAAN LAHAN DAN HASIL PRODUKSI KELAPA MENGGUNAKAN METODE KMEANS

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dc.contributor.authorAstianti, R. Chyntia
dc.contributor.supervisorAminuddin, Al
dc.date.accessioned2023-09-29T03:46:50Z
dc.date.available2023-09-29T03:46:50Z
dc.date.issued2023-06
dc.description.abstractCoconut is a variety of plant from the Arecaceae family that has various benefits almost from all parts. Indragiri Hilir regency consists of 20 districts with abundant coconut plantation land potential. The purpose of this research was to determine and classify the location of coconut plantation land and production results in map visualization and the application of K-Means Clustering Algorithm. This system was designed using UML diagrams, Laravel framework, and MySQL database. The results obtained from this study was that the 20 districts in Indragiri Hilir Regency are divided into 3 clusters. Of these three clusters, cluster 3 was the highest potential for coconut plantation land with a total of 5 districts as cluster members.en_US
dc.description.sponsorshipJurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/11128
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectCoconuten_US
dc.subjectGeographic Information Systemen_US
dc.subjectK-Means Clustering Algorithmen_US
dc.subjectLaravelen_US
dc.subjectMySQLen_US
dc.subjectUMLen_US
dc.titleSISTEM INFORMASI GEOGRAFIS PEMETAAN LAHAN DAN HASIL PRODUKSI KELAPA MENGGUNAKAN METODE KMEANSen_US
dc.typeArticleen_US

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