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Fadillah, Riszki
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Journal : Journal of Computer System and Informatics (JoSYC)

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Addict Coffee Barista Recruitment Decision Support System Using the ARAS Method Mesran, Mesran; Fadillah, Riszki; Wahyu, Riski Ferita
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6249

Abstract

Barista is a person who works in a coffee shop as a delicious coffee maker. So it is necessary to recruit baristas who can work in coffee shops and have responsibilities that not only mix coffee but also have skills in processing coffee beans. The problem in the barista recruitment process is the process of determining barista candidates who are only selected individually so that it is less accurate to get barista candidates who have the expected skills so that it can have an impact on opinions on the coffee shop. So the solution is provided through a decision support system, a highly interactive computer-based system that assists in making a decision to utilise data and models in solving unstructured and semi-structured problems. The method used in making these decisions is the Additive Ratio Assessment Method (ARAS). A total of 11 people who will become data samples and five criteria are used as rules for assessing (selecting). The ARAS method is able to provide maximum results to obtain superior barista recruitment with a result of 5,342, namely A1 as the selected alternative in barista recruitment after going through the method application stage.
Co-Authors Adawiyah, Quratih Al Ghazali, Baginda Restu D, Novica Jolyarni INTAN NUR FITRIYANI JOLYARNI D, NOVICA Mesran, Mesran Purwanto, Juni Ramadani, Putri Ramadani, Ramadani Sakti Tanjung, Rani Darma Sarjon Defit Sirait, Fahruzi Suerni, Suerni Sumijan Tanjung, Rani Darma Sakti Tusakdiyah Harahap, Halimah Tusakdiyah, Halimah Wahyu, Riski Ferita