PENGELOMPOKAN DIVISI KERJA PT. ANUGRAH ANALISIS SEMPURNA BERDASARKAN FAKTOR PSIKOSOSIAL YANG MEMPENGARUHI TINGKAT STRES KARYAWAN MENGGUNAKAN METODE K-MEANS CLUSTERING

Abstract

Based on psychosocial factors, this research optimizes group work divisions at PT Anugrah Analisicepat (AAS) using K-Means Clustering. The Variance Ratio Analysis method determines the best cluster based on the smallest Variance Ratio value among all clusters. This data uses secondary data obtained from PT AAS. The variables used in this research consisted of Role Ambiguity (TP Score), Role Conflict (KP Score), Quantitative Overload (BBKuan Score), Qualitative Overload (BBKual Score), Career Development (PK Score), and Responsibility towards others (TJO Score) is adjusted to the 11 divisions at PT AAS. The optimal grouping result is the formation of two clusters with a variance ratio value of 1.42%. The results of the grouping process using the K-Means Clustering method are that cluster 1 has two members, namely the Microbiology Lab and the Administration Lab. Cluster 2 has nine members: HRDGA, Finance, Agriculture Lab, Enviro Lab, Calibration Lab, Sales & Marketing, Sampling, Marketing Busdev, and QAHSE. Divisions in cluster 1 showed mild scores on all analyzed psychosocial variables. This indicates a mild level of stress compared to divisions in cluster 2. In cluster 2, the variables of role ambiguity, role conflict, quantitative overload, career development, and responsibility for others are all at a moderate stress level.