PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN INDIKATOR KESEHATAN LINGKUNGAN MENGGUNAKAN METODE PARTITIONING AROUND MEDOIDS DENGAN VALIDASI INDEKS INTERNAL

Environmental health is an important aspect in efforts to achieve public health. The condition of environmental Indonesia varies each province, so the priorities for increasing are also different. This study aims grouping provinces based on indicators order know high/low quality province assist government optimizing efforts. done partitioning around medoids method which robust data containing outliers. measure similarity objects calculated using Euclidean and Manhattan distances, selection best number clusters by validating internal index, namely Calinski-Harabasz Baker-Hubert silhouette C-index, Davies-Bouldin index. result this that two distance measurement method, with largest index value = 24.10072, 0.8466251, 0.4246581, smallest C-index 0.07290109, 1.094805.