Sistem Rekomendasi Beauty Shop Berbasis Collaborative Filtering

Abstract

The increasing number of beauty places makes it difficult for consumers to determine a beauty shop that fits the required criteria, for example a beauty shop that has facial care, body and hair care services, good quality, and affordable prices. Preferences create a different sense of satisfaction for each person. Satisfaction in this case is the extent to which the perception of the beauty shop is in accordance with user expectations. The purpose of this study is to build an online beauty shop application that can provide recommendations for beauty shops in Bandar Lampung based on the beauty shop rating. The application is built with a recommendation system using the Collaborative Filtering method. This research can make it easier to provide recommendations about beauty stores based on ratings given by other users. The feasibility test of the software shows that the online beauty shop application with a recommendation system based on Collaborative Filtering was successfully tested using the Gutman scale questionnaire technique with good results.