Educational Data Mining with Clustering technique on the Distribution of Civil Servant Teachers in Indonesia

Moh. Mahbub, Dewi Purnamawati, Maslamah, Samel Sopakua, Mohammad Fauziddin

The teacher is a professional educator with the main task of educating, teaching, guiding, directing, training, assessing, and evaluating students in early childhood education through formal education, basic education and secondary education. The purpose of this research is to analyze the distribution of teachers in Indonesia by utilizing data mining techniques. Research output in the form of mapping results in the form of clusters of regions in Indonesia. The data source was obtained by the Ministry of Education and Culture data in 2019 consisting of 35 data records. The technique used is K-Means which is part of clustering. Attributes on the study are the name of the province and the number of teachers distribution of Civil Servants (abbreviated as PNS). The calculation and analysis process uses the RapidMiner 5.3 software as a tool. To maximize the cluster, the Davies-Bouldin Index calculation result is done with the number of clusters (k = 2): 0.126. The results state that the high cluster label (C1) consists of 3 provinces namely West Java, Central Java, East Java. The rest are in the lower cluster (C2) consisting of 32 provinces (91%). This result shows that almost all regions in Indonesia the teacher distribution process is uneven and is only centered on the island of Java.

Volume 12 | Issue 6

Pages: 2097-2103

DOI: 10.5373/JARDCS/V12I6/S20201171