Perbandingan 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)

Abstract

The 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.