Prototype of University Directory Application Using K-Means Clustering and TOPSIS

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The development of education and educational institutions in Indonesia has led to the emergence of many new higher education institutions and there have been many changes in majors and specializations offered from each higher education institution. Many higher education institutions also expand their campus network to various regions and even establish cooperative relationships with higher education institutions at home and abroad as partners. Prospective students who are looking for higher education institutions to continue their education often consider aspects of the majors offered, accreditation, location, tuition fees, facilities and infrastructure offered by each higher education institution, as well as various other supporting information.

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Keywords

Directory, K Means, Clustering, document, university