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All Journal bit-Tech Jurnal PADMA: Pengabdian Dharma Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi
Angga Suryadi
Universitas Pamulang
Religion Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences Other

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Implementation of a Decision Support System for Selecting the Best Supplier Using the SAW Method Angga Suryadi; Adam Adam Muiz; Alpan Alpan Hidayat
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.
Integrating AHP and SAW for Verified Supplier Selection Decision Support in Small Retail Nasrul Hidayah; Angga Suryadi; Intan Kumalasari
bit-Tech Vol. 9 No. 1 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v9i1.4271

Abstract

Supplier selection is a critical procurement decision in small retail because supplier performance directly affects stock availability, delivery reliability, cost efficiency, and service continuity. This study develops and evaluates a web-based decision support system integrating the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) for supplier selection in a single small-retail case in Depok, Indonesia. AHP was used to derive weights for five criteria price, distance, product quality, service, and delivery performance while SAW normalized and aggregated the performance of ten supplier alternatives into final preference scores. The system was implemented using PHP and MySQL and assessed through independent computational cross-checking, black-box testing, white-box basis-path testing, and user acceptance testing. Delivery performance received the highest weight (0.5004), followed by distance (0.2527), price (0.1084), service (0.0796), and product quality (0.0589), with the consistency ratio remaining below 0.10. CV. Prima Sentosa ranked first with a preference value of 0.9118, narrowly ahead of PT. Rukun Mitra Sejati Cab. Depok at 0.9022. All 31 black-box test cases passed, the selected white-box modules achieved complete basis-path coverage, and system calculations matched independent calculations to four decimal places, demonstrating computational fidelity. User acceptance testing produced a mean rating of 97.00%, although lower scores for usability and interface-related aspects indicate that further refinement is needed. The study contributes an end-to-end, traceable AHP–SAW implementation that links preference elicitation, ranking, software verification, and formative user evaluation. The findings support the feasibility of the approach for the studied retail context, while broader generalizability and ranking robustness require further validation.
Co-Authors Abdillah Hasbi Adam Adam Muiz Alpan Alpan Hidayat Ananda Vadhiel Malik Bintang Mujahidin Haqqoni Endah Pratiwi Erdi Sutriyatna Frely Cristiadzi Fawaz Gustiga Erwanike Agashi Ilhan Fauzan Intan Kumalasari Irgi Winarno Irgi Maulana Muhamad Sulaiman Muhamad Arief Yulianto Muhammad Naufal Musthofa Muzammil Sakdi Nasrul Hidayah Pilda Ulan Sari Rahmawati Rahmawati Rahmawati Rahmawati Rahmawati Ridhan Al Aufar Romi Andrianto Sahidin Supiyan, Dede Yudi Prayoga