Claim Missing Document
Check
Articles

Found 1 Documents
Search

Pengelompokan Pegawai di Badan Pengembangan Sumber Daya Manusia Provinsi Sumatera Utara Berdasarkan Usia, Tingkat Pendidikan dan Golongan Menggunakan Metode K-Means Clustering Elma Dwi Ariana Aprilia Zam; Dwi Haprida Ningsih; Muhammad Arfie Munawar; Rivani Kabrina Br Surbakti; Riri Syafitri Lubis
Faedah : Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 3 No. 1 (2025): Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/faedah.v3i1.1326

Abstract

This study aims to classify employees at the North Sumatra Provincial Human Resources Development Agency (BPSDM) based on age, education level, and rank using the K-Means Clustering method. Age, education level (converted to numeric), and rank (converted to numeric) data were processed through preprocessing, cluster number determination, K-Means implementation, and evaluation stages. The results showed that employees were grouped into three clusters: 1) dominated by ages 54-64 years, S2 education, rank IV/d; 2) dominated by ages 43-53 years, S2 education, rank III/d; 3) dominated by ages 32-42 years, SLTA education, rank III/b. This classification provides employee characteristic information to support human resource management.