Cluster Analysis to Identify the Quality of Senior Secondary Education in Indonesia

Abstract

Indonesia is included in one of the developing country. A country can be said to be a developed country if it has good development supported by good human resources. To realize the country's development well, one of the solution is by improving the quality of human resources in the country. The government's efforts to improve the quality of human resources are one of them from educational facilities that become a place to develop themselves and creativity. By conducting a provincial grouping that has the same characteristics of the Education problem, it will help the government in determining policies according to existing groups. The grouping in this study was conducted in 34 provinces in Indonesia using 9 variables. The variable will be tested for feasibility first so the remaining 7 variables are obtained. From the 7 variables, the main component analysis is carried out to find out how much the main components are formed and the variables inside that affect the quality of the Education. One main component is obtained with 7 variables in it, will be the basis for cluster formation. Cluster formation was carried out using the K-means method by firstly determining the number of clusters using the Elbow method. From the K-Means method, 5 clusters were obtained for the 34 provinces. The five clusters are grouped based on the cluster average obtained in the K-Means method, where the provinces in the group that have the largest cluster average value can be the main focus of the government in improving the quality of secondary school education.