Application of K-Means Cluster and Principal Component Analysis to Determine the Level of Priority for Acute Respiratory Infection (ARI)
Astri Attia, Sintha Lisa Purimahua · Journal of Southwest Jiaotong University · 2020
This research is aimed to determine the priority levels of acute respiratory infection (ARI) vulnerability for subdistricts within Kupang district, East Nusa Tenggara Province, based on the main determining factor of ARI vulnerability. This research utilized the principal component analysis method and K-Means cluster analysis. The research enabled to determine five priority levels of ARI vulnerability and the identify districts referring to these priority levels and the main determinants of vulnerability to insecurity of acute respiratory infections (ARI) typical for each priority level.