Information System for Analysis of the Need of Doctors Using K-Means Clustering and Chi-Square Test

Abstract

Doctor is one of the medical staff who is needed by the community in implementing health in Indonesia. Some provinces in Indonesia have different populations and doctors, an analysis is needed to maximize the number of doctors to the population. In this research, the K-means method was used to divide the cluster into the number of doctors needed and the chi-square method to final testing for the result of clustering. This research will provide results on areas that need to increase the number of doctors or do not need to add additional doctors in Indonesia. Using of the K-means clustering method and chi-square test for doctor analysis, giving results of accuracy which is 78%.