Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 10 No. 7 (2025): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

ANALISIS KOMPARATIF CLUSTER POLA GAJI-USIA DI TIGA SEKTOR KUNCI EKONOMI (PENJUALAN, JASA, DAN PERTANIAN) MENGGUNAKAN ALGORITMA K-MEANS

Submitted
December 1, 2025
Published
2025-12-01

Abstract

This study aims to analyze and compare the relationship between wages and age in three main economic sectors, namely the Sales, Services, and Agriculture, Forestry, Hunting, and Fisheries (PKPP) sectors. The main focus of this study is the wage level and age group of workers in each sector, with the hope of identifying the characteristics of worker groups that reflect economic and demographic trends in the workforce. To analyze the data, the method used is clustering with the K-Means algorithm run through RapidMiner software. The data source is taken from the Central Statistics Agency (BPS) in 2025, namely datasets taken in February 2024 and February 2025 containing the average wages or net salaries per month for laborers, employees, and staff based on age groups and main types of work. The results show the existence of three main clusters, namely: Cluster 0: Group of workers of all ages with high salaries, Cluster 1: Group of workers of productive age with low salaries, Cluster 2: Group of young and senior workers with middle salaries. This analysis provides a comparative overview of the distribution of workers' welfare across various sectors and can serve as a basis for formulating data-based employment policies

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