Implementasi Metode WASPAS Pada Sistem Pendukung Keputusan Penentuan Prioritas Diskon Produk Tekstil Berbasis Web (Studi Kasus: Satya Jaya Tailor and Textile)

Abstract

Satya Jaya Tailor and Textile experienced problems with fabric stock accumulation due to the low sales rate of several products, thus hindering the turnover of business capital. The determination of products that will be given discounts is still carried out based on the subjective considerations of store owners, so a system that is able to produce decisions more objectively is needed. This study aims to implement the Weighted Aggregated Sum Product Assessment (WASPAS) method in a web-based decision support system to determine the priority of textile product discounts. The assessment is carried out using four criteria, namely the number of stocks, stock life, sales level, and selling price. The WASPAS method is used because it combines  the Weighted Sum Model (WSM) and Weighted Product Model (WPM) approaches in the calculation process. The system test was carried out using the Black Box Testing method  to test the functionality of the system. The results showed that the A3 alternative (Semi Wool Scott Parker) obtained the highest preference value (Qi) of 0.8499 so that it became a priority to be given a discount. The application of the WASPAS method was able to produce objective recommendations and help the decision-making process in determining the priority of textile product discounts.