Pendekatan Data-Driven Menggunakan Metode SAW untuk Pemilihan Karyawan Terbaik pada Mitra Jaya Komputer
Abstract
Advancements in computer technology have significantly contributed to enhancing the efficiency and effectiveness of human resource management, particularly in the process of selecting the best employee. As employees are a crucial factor in a company's success, the assessment process must be objective, systematic, and transparent. Mitra Jaya Komputer in Bengkulu City routinely selects its best employee based on criteria such as discipline, creativity, attendance, teamwork, and orderliness. However, the current manual assessment process is time-consuming and prone to subjectivity in decision-making. This study aims to develop a Decision Support System (DSS) to facilitate the best employee selection process using the Simple Additive Weighting (SAW) method. The SAW method involves normalizing values based on the specific criteria, then multiplying these normalized values by predetermined weights to calculate a preference score for each employee. These scores are subsequently used to rank the employees based on their final results. The system was developed using the PHP programming language to enable faster and more structured data management and assessment processes. The results indicate that implementing the SAW method assists management in identifying the best employee more effectively, objectively, quickly, and transparently, providing a reliable basis for decision-making. The system also streamlines the documentation and presentation of assessment results.
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