Optimasi Pemilihan Cafe Terbaik Menggunakan Rank Order Centroid dan Simple Additive Weighting

Authors

  • Mega Juni Yantika Universitas Sembilanbelas November Kolaka
  • Mardianto Mardianto Universitas Sembilanbelas November Kolaka
  • Ilcham Ilcham Universitas Muhammadiyah Kendari

DOI:

https://doi.org/10.71234/jistech.v2i1.46

Keywords:

Café Selection, Rank Order Centroid, Simple Additive Weighting, Decision Support System

Abstract

Choosing the optimal café can be difficult due to the necessity of objectively evaluating several variables, including food quality, comfort, pricing, service, and supplementary amenities. This study seeks to enhance the selection process for the optimal cafe by employing the Rank Order Centroid (ROC) approach for criterion weighting and the Simple Additive Weighting (SAW) method for ranking alternatives. Data were collected via questionnaires and firsthand observations of multiple cafés, with criteria assessed according to consumer preferences. ROC was employed to ascertain proportional criteria weights, whereas SAW aggregated normalized values and weights to generate alternative ranks. The findings indicated that Cafe 2 attained the maximum preference score of 0.70, establishing it as the premier recommendation. The integration of ROC and SAW demonstrated efficacy in producing objective, systematic, and transparent outcomes, rendering it suitable for decision support systems that aid consumers in selecting the optimal cafe

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Published

2025-02-27

How to Cite

Yantika, M. J., Mardianto, M., & Ilcham, I. (2025). Optimasi Pemilihan Cafe Terbaik Menggunakan Rank Order Centroid dan Simple Additive Weighting. JISTech : Journal of Information Systems and Technology, 2(1), 21–27. https://doi.org/10.71234/jistech.v2i1.46

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