Application Of Clustering Using The K-Means Method In Indonesian Provinces Based On Infrastructure Data In 2020
L T Andika, Winner Winner, Lazarus Lazarus, Resa Septiani Pontoh · 2021
National development cannot be separated from infrastructure development. Infrastructure development that continues to be carried out by the government is expected to have a positive impact on Indonesia's economic growth. In Indonesia, infrastructure development can be said to be uneven in various provinces. This study aims to group provinces in Indonesia into several clusters based on infrastructure data in 2020. This research was conducted using K-Means Clustering method. The examination was conducted and it was obtained that the data is representative and there is no multicollinearity. Obtained results i.e. provinces in Indonesia can be grouped into 3 clusters. Cluster 1 belongs to the low category consisting of 22 provinces, cluster 2 belongs to the medium category consisting of 9 provinces, and cluster 3 belongs to the high category consisting of 3 provinces.