Integration of Rank Order Centroid and Simple Additive Weighting for Determining the Best Employee

Abstract

XYZ Pharmacy operates in the business of selling medicines and providing health check-up services in the Tambak Sari District of Surabaya. Historically, the selection of the best employee at XYZ Pharmacy has been conducted using conventional methods, making the ranking process susceptible to subjectivity and unfairness. To address this issue, a decision support system was developed that integrates the Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods. The ROC method is employed to objectively generate criteria weights based on priority rankings established by the pharmacy manager, covering five criteria: Attendance, Loyalty, Service Quality, Compliance to SOPs, and Discipline. Subsequently, the SAW method is used to calculate final scores and determine the ranking of each employee. The study results demonstrate that the integration of the ROC and SAW methods yields recommendations for the best employee that are objective, fair, and justifiable, thereby serving as a strategic decision-making tool for XYZ Pharmacy's management.