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DATABASE DESIGN FOR COSPLAY MAKING SERVICE OUTLET SELECTION RECOMMENDATION SYSTEMS
Author(s) -
Sukarno Bahat Nauli,
Bosar Panjaitan
Publication year - 2021
Publication title -
international journal of advanced research
Language(s) - English
Resource type - Journals
ISSN - 2320-5407
DOI - 10.21474/ijar01/12645
Subject(s) - table (database) , database , computer science , service (business) , interface (matter) , selection (genetic algorithm) , user interface , database design , world wide web , transaction log , operating system , economy , database transaction , bubble , maximum bubble pressure method , artificial intelligence , economics
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.

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