Penerapan Data Mining Untuk Menentukan Penerima Program Bidikmisi Menggunakan Algoritma K-Medoids

Abstract

Bidikmisi scholarship is a program that facilitates prospective students who have good academic achievements but lack in economics to be able to receive quality education by receiving various facilities. The distribution of Bidik Misi scholarships to students who come from underprivileged families must go through a selection involving certain criteria. The criteria are: parents' income, parent's occupation, number of dependents, and home ownership. To make it easier to determine prospective students who receive Bidikmisi, the K-Medoids algorithm is used. The K-Medoids algorithm is one of the algorithms in data mining to group data based on the closest criteria values.