Decision Support System In Choosing Cellphone Accessories With The SAW Method On Muda Ponsel

Abstract

Supplier selection is a crucial factor influencing operational smoothness and service quality for mobile phone accessory businesses. Muda Ponsel currently selects suppliers based on experience and subjective judgment, leading to inconsistent decisions that are difficult to evaluate. This approach makes it challenging for the business owner to identify the best supplier as the number of alternatives grows. Therefore, this study aims to develop a Decision Support System (DSS) to facilitate objective supplier selection for mobile phone accessories using the Simple Additive Weighting (SAW) method. The study employs a quantitative approach, utilizing data collection techniques such as observation, interviews, and literature review. The criteria used for supplier evaluation include quality, price, and warranty. The SAW method is applied through a process involving criteria weighting, decision matrix construction, alternative value normalization, and preference value calculation to rank the best suppliers. The system is designed using Unified Modeling Language (UML) and implemented using PHP and MySQL. Black Box Testing is conducted to ensure all system functions operate as required. The study is expected to yield a system capable of providing objective, rapid, and accurate supplier recommendations based on the highest preference values. Implementing the SAW method can assist the owner of Muda Ponsel in enhancing decision-making effectiveness and efficiency, reducing subjectivity in supplier evaluation, and optimizing the management of supplier partnerships