IMPLEMENTASI DATA MINING UNTUK PENGELOMPOKKAN DAN PREDIKSI KARYAWAN YANG BERPOTENSI PHK DENGAN ALGORITMA K-MEANS CLUSTERING

Windania Purba; Willy Siawin; Marlince NK Nababan; Hardi .; N P Dharshinni; Siti Aisyah

doi:10.34012/jusikom.v2i2.429

IMPLEMENTASI DATA MINING UNTUK PENGELOMPOKKAN DAN PREDIKSI KARYAWAN YANG BERPOTENSI PHK DENGAN ALGORITMA K-MEANS CLUSTERING

Authors

Windania Purba Universitas Prima Indonesia
Willy Siawin
Marlince NK Nababan Universitas Prima Indonesia
Hardi .
N P Dharshinni Universitas Prima Indonesia
Siti Aisyah Universitas Prima Indonesia

DOI:

https://doi.org/10.34012/jusikom.v2i2.429

Keywords:

Data Mining, K-Mean Clustering, Karyawan

Abstract

Penelitian ini dilakukan untuk mempelajari Data Mining dengan menggunakan algoritma K-MeanClustering yang diimplementasikan dalam perusahaan PT. Berlian Transtar Abadi untuk mengelompokkan dan melakukan prediksi terhadap karyawan yang berpotensi PHK. Data dikumpulkan dengan cara wawancara dan observasi terhadap pihak yang bersangkutan, selanjutnya data dianalisa untuk menentukan karyawan yang berpotensi PHK. Dari eksperimen yang dilakukan dengan menggunakanalgoritma K-means serta menggunakan software Visual Basic V10 dapat memberikan hasil yang akurat.

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Published

2019-03-11

How to Cite

[1]

W. Purba, W. Siawin, M. N. Nababan, H. ., N. P. Dharshinni, and S. Aisyah, “IMPLEMENTASI DATA MINING UNTUK PENGELOMPOKKAN DAN PREDIKSI KARYAWAN YANG BERPOTENSI PHK DENGAN ALGORITMA K-MEANS CLUSTERING”, JUSIKOM PRIMA, vol. 2, no. 2, pp. 85 - 90, Mar. 2019.

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Issue

Vol. 2 No. 2 (2019)

Section

Articles

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