Design of a Web-Based Decision Support System for Laptop Vendor Search for Resellers using the Simple Addtive Weighting (SAW) Method

Abstract

This study aims to design a web-based Decision Support System (DSS) to assist resellers in determining the most suitable used laptop vendors to meet their criteria at the Loyal Laptop store. The main problem faced is the vendor selection process and stock management, which are still done manually, often resulting in data inaccuracies, recording errors, and delays in obtaining important information regarding stock and vendor quality. To overcome this, this study developed a system using the Simple Additive Weighting (SAW) method as a calculation technique in determining the best vendor based on several criteria, namely delivery speed, discount level, service, warranty, product authenticity, and payment terms. Each criterion is given a weight according to its level of importance in the vendor selection process, then a normalization and ranking process is carried out to obtain the best alternative. The system is built web-based using PHP, HTML, CSS, and MySQL as a database. The implementation results show that the system can help admins in managing vendor data more effectively, improve the accuracy of vendor selection, and speed up the decision-making process. With this application, the process of processing stock data and searching for vendors becomes more efficient, precise, and structured.