Obagbuwa, “Application of k Means Clustering algorithm for prediction of Students Academic Performance,” Int. Kepala Badan Pusat Statistik Republik Indonesia, Water Supply Statistics. On research results, 70% of Indonesian people are still low awareness of the based on performance results, it can be concluded that k-meansĪlgorithm is best because it has the smallest Davies-Bouldin index value. The Davies-Bouldin index for "the number of cleaned water consumers"Īre -0.470. Provinces, C2: 4 provinces and C3: 24 provinces. High, (C2) Cluster Normal and (C3) Cluster Low, for the number of cleaned waterĬustomers who are low on the need of clean water. The clustering process is done with 3 clusters, namely (C1) Cluster Provinces with attribute assessment of the number of cleaned water customers by Method used is data mining clustering using k-means. The study aimed toĬluster the number of cleaned water customers by province (1995-2015). Th e most important necessity of living b eings in supporting survival. Of the important needs of environmental health is clean water.
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