PENGKLASTERAN AREA PEMBANGUNAN BAK SAMPAH DAUN MENGGUNAKAN METODE K-MEANS

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dc.contributor.authorSuryadi, Herman
dc.contributor.supervisorAndriyani, Yanti
dc.date.accessioned2021-09-30T06:30:29Z
dc.date.available2021-09-30T06:30:29Z
dc.date.issued2021-02
dc.description.abstractThe area around Riau University has a lot of leaf litter because the area is overgrown with trees, but currently the destruction of leaf litter scattered only done by burning. This is because there is no leaf garbage tub available in riau university environment and also there has not been an analysis of the grouping of areas that have the potential for the construction of the leaf garbage tub. From the existing problems, it can be seen that Riau University needs analysis of the grouping of areas to determine the grouping of areas in building garbage cans. Therefore, this research aims to implement the k-means clustering algorithm in conducting cluster analysis to determine the group of areas in building garbage bins that exist in the area of Riau University. This study reviewed data in the form of 71 data point location of leaf garbage stacks with data attributes clustered are latitude points and longitude of data objects. The research phase that emphasizes the analysis of k-means clustering goes through 2 stages, namely the process of clustering with k-means, and the testing of clustering results with silhouette coefficient, The clustering process is carried out by experimenting the number of different clusters, namely 3, 4, 5, 6, and 7 clusters. The best cluster results testing is done using the silhouette coefficent method. Based on the results of the experiment, the number of k=3 is the best cluster with test results of 0.5906023241609282. This means that as many as 3 garbage can be built in the area around the centroid point of each clusteren_US
dc.description.sponsorshipJurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10238
dc.language.isoenen_US
dc.subjectClusteringen_US
dc.subjectData Miningen_US
dc.subjectK-Meansen_US
dc.subjectPythonen_US
dc.subjectLeaf Litteren_US
dc.titlePENGKLASTERAN AREA PEMBANGUNAN BAK SAMPAH DAUN MENGGUNAKAN METODE K-MEANSen_US
dc.typeArticleen_US

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