Abstract
Health care facilities are a place used to organize health efforts. Health service data in Makassar City has not shown which sub-districts have excellent service criteria, good enough, and not good. Therefore, it is necessary to group sub-districts with cluster analysis using hierarchy method. The hierarchy method used in this study is only 2, namely complete linkage and ward's method. Complete linkage method is the opposite of the approach to the minimum distance principle that is the furthest distance between objects while Ward's Method is a method that aims to minimize variance between objects in one cluster. There are four health services used, namely Hospitals, Health Centers, Home Care and Telemedicine with 15 sub-districts. This study also used a validity test namely Index Davies Bouldin (IDB) to determine the criteria of health services. The results of the analysis on complete linkage formed 3 clusters, namely cluster 1 with good health services, cluster 2 with excellent health services, and cluster 3 with poor health services. In addition, ward's Method also formed 3 clusters, namely cluster 1 with good health services, clusters 2 with poor service, and cluster 3 with excellent health services.
Highlights
Based on previous research on the quality picture of ISO certified inpatient services in Makassar City, the results of the study is expected that ISOcertified Health Centers maintain aspects that patients consider satisfied with the services provided and can make improvements that patients are not satisfied with the services provided in order to improve the quality of services. (Rusmin et al, 2016)
One of the grouping methods used in this research is cluster analysis, because cluster analysis is a multivariate technique in statistical analysis that aims to group objects that have the same characteristics into a smaller group. (Rahmawati et al, 2016)
This study conducted validity test namely Index Davies Bouldin (IDB) is one of the internal validation tests on partition-based grouping method based on the amount of data proximity to centroid of the cluster it follows and between two clusters measured by the proximity of two centroid clusters. (Starczewski, 2017)
Summary
Collecting data on the quality of health and human services in 15 sub-districts in Makassar City. 4. From the cluster formed tested validity by using Device Bouldin Index (IDB) to determine the criteria of service quality based on centroid value. D. RESULTS AND DISCUSSION The results of the research from the data used are the result of the overall variables of health services in the city of Makassar, namely Health Centers, Hospitals, Home Care and Telemedicine.
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