Integrasi BWM–MARCOS untuk Seleksi Pemasok Pangan yang Konsisten dan Robust pada Kafetaria Universitas
- Erienika Lompoliu Universitas Klabat, Manado, Indonesia
- Regi Fernando Najoan Universitas Klabat, Manado, Indonesia
- Wilsen Grivin Mokodaser Universitas Klabat, Manado, Indonesia
-
George M. W. Tangka
*
Universitas Klabat, Manado,
Indonesia
(*) Corresponding Author
Abstract
The cafeteria of XYZ University serves as an essential service hub for students, particularly dormitory residents. Therefore, the selection of food suppliers must systematically consider quality, food safety, delivery reliability, service, and cost. This study integrates two Multi-Criteria Decision-Making (MCDM) methods—Best Worst Method (BWM) and Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS)—to produce a more objective, consistent, and transparent supplier selection model. BWM determines criterion weights through linear optimization with a consistency ratio of CR = 0.08 ≤ 0.25, confirming valid weights. These weights are then applied in MARCOS to generate the final supplier ranking. Five evaluation criteria are used: quality & freshness (C1 = 0.35), delivery reliability (C2 = 0.25), food safety compliance (C3 = 0.20), service responsiveness (C4 = 0.15), and price (C5 = 0.05), applied to four supplier alternatives (Alpha, Beta, Gamma, Delta). Results show the final ranking Alpha ≻ Gamma ≻ Beta ≻ Delta with utility values of 1.2534, 1.1336, 0.9921, and 0.8224 respectively. Sensitivity analysis with ±10% weight variation confirms ranking stability, demonstrating the model's robustness. This model provides an auditable numerical framework, easy to communicate to non-technical stakeholders, and serves as a basis for procurement policy and periodic supplier performance evaluation.
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