Habib Qoirul Tabiin
Universitas KH. A. Wahab Hasbullah

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Journal : Newton : Networking And Information Technology

Implementation of The K-Mean Algorithm for Data Clustering in Alumni Data Information Systems Agus Sifaunajah; Muhyiddin Zainul Arifin; Habib Qoirul Tabiin
NEWTON: Networking and Information Technology Vol. 2 No. 2 (2022): October
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v2i2.2960

Abstract

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.