Implementasi Metode Saw dan Topsis dalam Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik pada PT. Daya Dinamika Niaga

Employees are valuable assets in a company and play a significant role in supporting the achievement of organizational goals and improving overall organizational performance. The process of selecting the best employee, which is often carried out manually, can lead to subjectivity and inconsistencies in decision-making. Therefore, this study aims to develop a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods to assist in determining the best employee objectively and systematically. The system uses several evaluation criteria, including employee performance, attendance, length of service, behavior, and responsibility, as the basis for assessing employee eligibility. The SAW method is applied for weighting and normalization of evaluation criteria, while the TOPSIS method is used to calculate preference values and rank employees based on the established criteria. The results show that the developed system is capable of providing recommendations for selecting the best employee in an objective, fast, and accurate manner. Therefore, the implementation of this web-based system can support a more effective, efficient, consistent, and transparent employee evaluation and decision-making process within the company.