Analisis tingkat kepuasan pengguna Tiktok Shop berdasarkan UI/UX menggunakan metode Naïve Bayes

Technological advances that continue to develop have changed the way people carry out various activities, including online buying and selling transactions. Various e-commerce platforms are here to meet the Indonesian market, including Tiktok which in the form of a social tool that people like. The lesson wants to observe the satisfaction of Tiktok Shop users from UI/UX through the Naïve Bayes algorithm. This lesson uses the CRISP-DM method. There are stages of reviewing reports, efforts, models, readiness, appearance and reviews. 60 test data processed in Rapid Miner obtained results with a user interface accuracy level of 88.33% and a user experience accuracy level of 76.67%. This shows that the user interface and user experience are factors that influence the level of satisfaction of Tiktok Shop users.