Sistem Rekomendasi Berbasis Collaborative Filtering untuk Toko Kosmetik Beauty Gallery

Abstract

Beauty Gallery is a business that focuses on selling cosmetics. After running the business, the process of recording and processing data is still done using paper media. Because the process has not been computerized, problems often occur in the sales process because the data is not appropriate. This study aims to produce a web-based application that can record all sales, purchase, and stock data at the Beauty Gallery using a database. This application is also made with an attractive and easy to use web display. This website also uses a collaborative filtering recommendation system that will help customers to choose goods. The data source used in making this application is through question and answer with the Beauty Gallery and needed literature. With this application, it is expected that Beauty Gallery data recording can be more organized and can advance the Beauty Gallery.