Clustering Methods Based on Indicator Process Model to Identify Indonesian Class Hospital
Linda Septiana Hariyanti, Kelly Rossa Sungkono, Riyanarto Sarno · 2019 International Seminar on Application for Technology of Information and Communication (iSemantic) · 2019
Health is the most important aspect of human life. One institution that provides health services for individuals who fully understand the road, hospitalization, and emergency care hospitals. According to Law No. 44 of 2009 in Indonesia, the hospital becomes 4 classes, namely class a, class b, class c, and class d. The indicators for each hospital have been determined. This indicator is human resources such as doctors, pharmacists, and time. The study was conducted to determine the value delivered by the hospital per indicator through a direct hospital process model. First, log events directly from the hospital process based on hospital service indicators. The results of this process will get the final value of each indicator that has been determined. These values are then analyzed using the k-means cluster method, hierarchical complete linkage, and hierarchical single linkage to get classes from the hospital. Based on the analysis that has been done, it can be seen that the k-means cluster method has better accuracy, precision, and recall that a hierarchical complete Iinkage, and hierarchical single linkage.