Agglomerative Nesting Cluster Analyst in Mapping District/City Health Facilities in West Java Province

Nadira Nisa Alwani (Institut Pertanian Bogor)
Megawati Megawati (Pogram Studi Statistika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Indonesia)
Anwar Fitrianto (Pogram Studi Statistika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Indonesia)
Erfiani Erfiani (Pogram Studi Statistika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Indonesia)
Alfa Nugraha Pradana (Pogram Studi Statistika dan Sains Data, Fakultas Matematika dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Indonesia)

JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI
Vol. 20 No. 3 (2024): May 2024

The use of Hierarchical Clustering is used to group districts or cities in West Java according to the number of health facilities, distance to health facilities and population density using Agglomerative Nesting (AGNES). Clustering in this study utilizes complete linkage clustering. The elbow method produces two optimal clusters which are then validated with the sillhoute coefficient and Calinski-Harabasz. In this study, there are 27 variables in the form of health facilities spread across 27 regencies/cities in West Java in 2021. The results of the cluster analysis formed in this study are 18 districts/cities in cluster  one and 9 districts/cities in cluster two