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All Journal Inventa: Journal of Science, Technology, and Innovation
Sella Sella
Universitas Muhammadiyah Sumatera Utara
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Analisis K-Means Clustering pada Data Penempatan Karyawan di PT. Guna Cipta Prima Berbasis Web Sella Sella; Yohanni Syahra
Journal of Science, Technology, and Innovation Vol 1 No 3 (2026): : April: Inventa: Journal of Science, Technology, and Innovation
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/59fhza60

Abstract

The advancement of information technology has made a significant contribution to decision-making processes, particularly in human resource management. One of the common challenges faced by organizations is the difficulty in determining employee placement objectively based on their competencies and performance. This study aims to implement the K-Means Clustering algorithm to classify employee data at PT Guna Cipta Prima, develop a web-based system using PHP and MySQL, and analyze the resulting clusters. The data used are real-world data consisting of job attributes such as security and cleaning service. The clustering process is conducted using three categories: high, medium, and low performance. The results indicate that the developed system is capable of effectively implementing the K-Means algorithm and producing clusters that align with the characteristics of the data. A Silhouette Coefficient value of 0.67 demonstrates a reasonably good level of clustering validity. Therefore, this system can assist the Human Resources Department (HRD) in conducting employee placement analysis in a more efficient, objective, and data-driven manner, thereby supporting more accurate decision-making.
Co-Authors Yohanni Syahra