Sistem Pendukung Keputusan Pemilihan Working Cafe Terbaik di Sekitar UPNVJ Pondok Labu Menggunakan Metode SAW

Jihan Aulia Rahmawati; Sekar Purbaningrum; Avriel Valent Angela; Zatin Niqotaini

doi:10.30787/restia.v4i2.2547

Authors

Jihan Aulia Rahmawati Jakarta “Veteran” National Development University
Sekar Purbaningrum Jakarta “Veteran” National Development University
Avriel Valent Angela Jakarta “Veteran” National Development University
Zatin Niqotaini Jakarta “Veteran” National Development University

DOI:

https://doi.org/10.30787/restia.v4i2.2547

Keywords:

Decision Support System, Simple Additive Weighting, Working Cafe, Cafe Recommendations

Abstract

Choosing the ideal café for studying is crucial for improving student productivity. Students often face difficulties in selecting the café that best suits their needs due to the wide range of café options around UPN “Veteran” Jakarta Pondok Labu, each offering different facilities. This study aims to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help students objectively choose the most suitable café. The criteria considered in this study include Wi-Fi quality, crowd level, number of power outlets, price, and distance from campus. Data were collected through direct observation and questionnaires distributed to students at UPN “Veteran” Jakarta. Five cafés were evaluated as alternatives: Beskabean UPN “Veteran” Jakarta, Sehela Kopi, Unara Coffee, Cuplink Coffee, and Fern Coffee House. The SAW method was applied through determining criterion weights, constructing a decision matrix, normalizing data, calculating preference values, and ranking the alternatives. The results indicate that Sehela Kopi achieved the highest preference value of 0.961 and was identified as the best café recommendation. These findings demonstrate that the SAW method can provide objective and useful recommendations for selecting cafés that meet students’ needs.

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