DATA MINING TECHNIQUE USING NAÏVE BAYES ALGORITHM TO PREDICT SHOPEE CONSUMER SATISFACTION AMONG MILLENNIAL GENERATION

Shopee is one of the largest e-commerce platforms currently being used by Millennials. The use itself makes it very easy for consumers to process transactions. committed maintaining and improving customer satisfaction so they don't switch other competitors. However, undeniable that there are still many cases can harm when using platform. With occur, possible will be a big influence on level consumer Consumers feel satisfied product or service meet expectations. This study was made with aim predicting Indonesia among Millennial Generation. applies data mining Naive Bayes Algorithm. algorithm simple probability classification calculate all possibilities combining number combinations frequency value from database obtained. attributes in conducting this research include Name, Gender, Age, Price, Performance Efficiency, Fulfillment, Reliability, Control Security, Responsiveness, Compensation, Contact, Description Satisfaction Value. In study, results obtained several input create causal relationship classifying dissatisfied consumers. provide benefits company increasing satisfaction. After carrying out testing process, concluded Algorithm an suitable measuring Indonesia's Generation, accuracy rate 89.65%.