Penerapan Algoritma K-Means Untuk Pemetaan Potensi Calon Mahasiswa Baru

Abstract

The process of mapping the potential of prospective new students is a grouping of prospective students based on various criteria which will be grouped based on their potential, both low and high, in order to assist the PR/promotion bureau in providing reference data and information in order to determine what promotion strategy will be carried out in the next period. This research can provide a mapping of potential new students using the K-Means Clustering Algorithm, namely by analyzing the initial data group, transforming the initial data and performing grouping calculations, after that the results of the grouping calculations can be re-analyzed to see where the school came from, the location of the school and the location of the school. the origin of information for each member in each group. In it applied the variables, namely the origin of the school, the location of the origin of the school and the origin of the information. This is done to map the potential of prospective new students, in order to assist the public relations/promotion bureau in providing reference data and information in order to determine what promotion strategy will be carried out in the next period. A cluster validity test has been carried out using the Silhoutte Coefficiency of the K-Means algorithm which is applied with a value of 0.6113 which means that the cluster created is included in the "Medium Structure" category, it is based on the Sillhoutte Category table according to Kauffman and Roussseeuw.