Implementation of The K-Mean Algorithm for Data Clustering in Alumni Data Information Systems

Agus Sifaunajah (Universitas KH. A. Wahab Hasbullah)
Muhyiddin Zainul Arifin (Universitas KH. A. Wahab Hasbullah)
Habib Qoirul Tabiin (Universitas KH. A. Wahab Hasbullah)

Newton : Networking And Information Technology
Vol. 2 No. 2 (2022): October

Graduates are the most important parameter of an organization, alumni are also active for a formal or informal educational organization or institution. In this era of big data, the correct and fast management of alumni data can bring significant benefits to the institution concerned. Algorithm K-means Clustering is one of the data collection algorithms that ranks data quite well. Using a research method, the Research and Development (R&D) department will try, as far as possible, to produce works that can be used to test real, not just hypotheses or theories.