International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 40 |
Year of Publication: 2023 |
Authors: Sri Uszdevita Syardillah Pohan, Joko Sutopo |
10.5120/ijca2023923202 |
Sri Uszdevita Syardillah Pohan, Joko Sutopo . Analysis and Development of Cafe Menu Ordering Application System using Mobile-based Simple Additive Weighting (SAW). International Journal of Computer Applications. 185, 40 ( Nov 2023), 16-23. DOI=10.5120/ijca2023923202
Cafe is a place that is still visited by many people. The large number of visitors makes it inefficient to order the cafe menu. The current system often forces customers to come directly to the cafe and queue and place orders which can be time-consuming and inconvenient. In addition, many customers may find it difficult to choose a menu that suits their preferences amidst the variety of options available. To overcome these problems, this research aims to present a solution by analyzing and developing a mobile-based application system that uses the Simple Additive Weighting (SAW) method to provide menu recommendations that match user preferences. The SAW method is given a weight on each criterion to calculate the optimal menu recommendation. There are 4 criteria used in this study namely weather, conditions, budget and taste. This mobile-based menu ordering service system is implemented using the Kotlin programming language and database storage media using the MySQL database. The results of the development of this application are expected to increase efficiency, better customer experience, convenience in the menu ordering process and the system can assist in processing cafe data to be more accurate and precise.