PENERAPAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKKAN JUMLAH KELUARGA PENERIMA MANFAAT (KPM) DI KABUPATEN SIMALUNGUN

Puspa Ramadani(1*), P Poningsih(2), Zulaini Masruro Nasution(3),

(1) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(2) AMIK Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Sumatera Utara, Indonesia
(*) Corresponding Author

Abstract


Beneficiary Families are social assistance programs created by the government for underprivileged communities as recipients, to reduce poverty and break the intergenerational poverty chain, improve the quality of human resources, and change behavior that is less supportive of improving welfare. The method used in this research is the K-Means Clustering Algorithm method. The K-Means algorithm is one of the techniques in data mining to classify clustering data into several groups based on the number/average value of each area. The application of this method is expected to facilitate the Simalungun government in processing data effectively and efficiently.


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Smart EDU: Buletin Education
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