SIMPLE ADDITIVE WEIGHTING METHOD IN CAKE SHOP SELECTION DECISION SUPPORT SYSTEM

Abstract

The process of selecting a cake shop for campus events can be challenging due to the variety of options available, each with differing prices, quality, and services. To address this issue, a Decision Support System (DSS) was developed using the Simple Additive Weighting (SAW) method, aimed at assisting event organizers in choosing the most suitable cake shop. This research applies SAW to evaluate five alternatives based on key criteria: service, taste, texture, price, and location. Data was collected through observations, expert interviews, and literature studies. Each criterion was weighted based on expert judgment, and a web-based application was built using PHP and MySQL to process and rank the alternatives. The results show that the system successfully identifies the best option, with “Chiquita” ranked as the top recommendation. This DSS model proves effective in supporting decision-making processes and offers an objective, user-friendly tool for optimizing event planning quality.