DATABASE DESIGN FOR COSPLAY MAKING SERVICE OUTLET SELECTION RECOMMENDATION SYSTEMS
Sukarno Bahat Nauli and Bosar Panjaitan · Zenodo (CERN European Organization for Nuclear Research) · 2021
This research is a type of action research. Aims to design a database for a costume ordering service outlet recommendation system. The application is built using the flutter framework as the user interface, the PHP language as a data processor that is sent from the application and MySQL as the database.A recommendation system is a system that is able to identify and provide high potential content selected by users based on filtering information that takes preferences from user behavior and history.The final result of the database design shows that the database design consists of 5 tables, namely the User Table, the Orderuser Table, the Outlet Table, the Rating Table, and the Review Table, as well as the Web-based Cosplay Making Service Outlet Selection Recommendation System.