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Adam Gibran Adhitya
Universitas Muhammadiyah Tapanuli Selatan
Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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Decision Support System for Determining the Best-Selling Menu in a Cafe Using the Simple Additive Weighting (SAW) Method Adam Gibran Adhitya; Lisvaulina Dewi Ritonga; Lela Budiarti
Journal of Information System and Education Development Vol. 4 No. 2 (2026): Journal Of Information System And Education Development
Publisher : Manna wa Salwa Foundation (Yayasan Manna wa Salwa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62386/jised.v4i2.249

Abstract

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
Co-Authors Lela Budiarti Lisvaulina Dewi Ritonga