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dc.contributor.advisorFajriya Hakim
dc.contributor.authorFaruk, Abdul
dc.date.accessioned2017-11-02T03:13:08Z
dc.date.available2017-11-02T03:13:08Z
dc.date.issued2016-11-17
dc.identifier.urihttps://dspace.uii.ac.id/handle/123456789/3919
dc.description.abstractThe purpose from this research is to discover the characteristic and applying data mining algorithm to cluster the number of visitors of clinic in Dompu district. Hence, it can help government to make appropriate decisions on planning to solve health problem in Dompu district. Analyze of cluster which will be used Data Mining with K-Means algorithm, Single Linkage, and Ward Linkage approach. Result of clustering is 3 cluster with different groups for different method, there is group which have Dompu clinic, Hu‟u clinic, Kempo clinic, Manggalewa and Pajo clinic which shown in each method.id
dc.publisherUniversitas Islam Indonesiaid
dc.subjectK-Meansen_US
dc.subjectSingle Linkageen_US
dc.subjectWard Linkageen_US
dc.subjectClusteringen_US
dc.subjectPengelompokanid
dc.subjectK Meansen_US
dc.subjectSingle linkageen_US
dc.subjectWard Linkageen_US
dc.titlePerbandingan Hasil Pengelompokan Menggunakan Metode Single Linkage, Ward Linkage (Hirarki) dan Algoritma K-Means (Studi Kasus:Jumlah Kunjungan Pasien pada Semua Puskesmas Daerah di Kabupaten Dompu)id
dc.typeUndergraduate Thesisen_US


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