Analysis and Design of a Decision Support System in Employee Selection using the AHP (Analytical Hierarchy Process) Method

Abstract

Employee performance assessment is a crucial aspect in determining the quality of human resources that contribute to a company's success. However, the process of selecting the best employees at PT. Asia Carton Lestari has been carried out manually, resulting in problems such as assessment inaccuracy, the lack of clear criteria weighting, and a high potential for human error. This study aims to design and build a web-based Decision Support System (DSS) using the Analytical Hierarchy Process (AHP) method to improve the effectiveness and objectivity of employee assessments. The AHP method was chosen because of its ability to solve multi-criteria decision-making problems through pairwise comparisons and systematic calculation of priority weights. Four assessment criteria are used in this system: attendance, work quality, discipline, and responsibility. Implementation results indicate that the system is capable of generating recommendations for selecting the best employees more accurately and consistently, with the highest score of 0.229593 obtained by an employee named Adam as the best alternative. Furthermore, black box testing results indicate that all system functions are functioning as expected. Thus, this AHP-based DSS can be an effective solution for companies in improving the quality of employee performance assessments.