Student Enrollment Performance of Telkom Schools in 23/24 schoolyear using k-Means Clustering

Nowadays, competition in student enrollment among schools has growth significantly. Every school tries to get as many new students as possible. Telkom Schools, an integral part of the Telkom Education Foundation, has taken strategic steps that reflect their commitment to providing high quality education relevant to the times’ demands. Fifty-one schools consisting of thirty-two kindergartens, three elementary schools, four middle schools, and twelve high schools have different enrollment achievements for new students. Therefore, a method is needed to group the performance of new student admissions for each school so that it is easier to make related policies. By using clustering method, each school can be grouped into similar performance and evaluated in real time. K-Means algorithms were explored to find the best cluster and analyzed them in Elbow method, Sillouhete score, Davies-Bouldin Index, and Dunn Index. The result show that the performance of student enrollment in Telkom schools can be divided into two clusters.