<![CDATA[The rapid growth of the culinary industry, particularly cafés, requires business owners to make accurate decisions in determining the most popular menu items. In many cases, identifying best-selling menu items is still done manually based on estimation, which can lead to inaccuracies and poor decision-making. Therefore, a Decision Support System (DSS) is needed to assist in determining the best-selling menu items objectively and systematically. This study aims to design and implement a Decision Support System to determine the best-selling menu items in a café using the Simple Additive Weighting (SAW) method. The SAW method is chosen because it can evaluate multiple criteria with a simple and easy-to-understand calculation process. The criteria used in this study include sales quantity, price, customer rating, and serving time. Each criterion is assigned a different weight based on its level of importance. The result of this study is a system capable of ranking menu items based on the highest preference values. With this system, café owners can more easily determine sales strategies, improve service quality, and optimize business profits]]>
Copyrights © 2026
