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Suratman, Amanda Putri
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Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Journal : Journal of Computer System and Informatics (JoSYC)

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Penerapan Metode MABAC untuk Menentukan Café Tongkrongan Anak Muda Terbaik Suratman, Amanda Putri; Larasati, Larasati; Anggiani, Poppy Hanna; Batubara, Ela Roza
Journal of Computer System and Informatics (JoSYC) Vol 6 No 4 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i4.8258

Abstract

Cafés serve not only as a place to enjoy coffee, but also as a forum for social interaction, discussion, and relaxation, especially for the younger generation who are increasingly embracing cafes as part of their lifestyle. In this context, choosing the right cafe is crucial so that the experience is not only satisfying in terms of taste, but also in terms of comfort and atmosphere. This study aims to determine the best cafes for gatherings in Pematangsiantar City using the Multi-Attributive Border Approximation Area Comparison (MABAC) method in a Decision Support System (DSS). This method is used because it can handle decision-making involving multiple criteria objectively and systematically. Seven main criteria were analyzed: price, taste, facilities, atmosphere, service, quality of ingredients, and cleanliness. A total of seven popular cafes in the city were evaluated based on these criteria. The calculation results showed that Inhaven Specialty Coffeebar obtained the highest score of 1.1456829 and was named the best cafe. These findings prove that the MABAC method can provide accurate recommendations and help consumers, especially young people, in choosing an ideal and enjoyable gathering place.
Co-Authors Anggiani, Poppy Hanna Batubara, Ela Roza Larasati Larasati