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All Journal Humanika Jurnal Ekonomi Manajemen Sistem Informasi bit-Tech PrimEarly : Jurnal Kajian Pendidikan Dasar dan Anak Usia Dini (Journal of Primary and Early Childhood Education Studies Ranah Research : Journal of Multidisciplinary Research and Development
Suryadi, Angga
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Journal : bit-Tech

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Implementation of a Decision Support System for Selecting the Best Supplier Using the SAW Method Suryadi, Angga; Adam Muiz, Adam; Alpan Hidayat, Alpan
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2255

Abstract

This study aims to design and implement a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method in the process of selecting the best supplier within the Micro, Small, and Medium Enterprises (MSMEs) environment, with a case study on Thaiyo Thaitea. In the face of increasingly competitive business environments, choosing the right supplier is a crucial factor in maintaining operational efficiency and service quality. However, the supplier selection process is often subjective and unstructured. Therefore, the SAW method is implemented to provide an objective and systematic approach to evaluating multiple supplier alternatives based on various criteria. This study uses five main criteria in supplier evaluation: price, product quality, completeness, delivery timeliness, and service. The SAW method allows for weighting and normalizing these criteria, resulting in a quantitative ranking of suppliers. The research findings indicate that supplier H. Slamet (A1) achieved the highest score (12.01), making it the best choice for Thaiyo Thaitea. System validation was conducted using the Black Box method to test the application's reliability and functionality. The test results demonstrate that all core features, including criteria data management, assessment processes, and user authentication, function as expected. This study provides practical contributions to improving efficiency and objectivity in the decision-making process for MSMEs. The study's implications indicate that the implementation of the SAW method in DSS can produce more transparent, accurate, and structured decisions. This research opens opportunities for further development through real-time data integration or comparisons with other Multi-Criteria Decision Making (MCDM) methods to enhance decision-making flexibility and accuracy in the future.
Co-Authors Adam Muiz, Adam Alpan Hidayat, Alpan Habibie, Muhammad Alwi Kadek Ananda Pratiwi Mirayani, Komang Muiz, Adam Putra, I Putu Risky Ardana Ramdani, Muhamad Werang, Basillius Redan Yani, Ketut Candra