APPLICATION OF DATA MINING IN CAFE EMPLOYEE PERFORMANCE ASSESSMENT ANALYSIS USING THE NAIVE BAYES METHOD
Abstract
This book discusses the application of the Naïve Bayes algorithm to assess employee performance at Cafe Sikado Negeri Lama. Using a data mining approach and the assistance of the Orange application, this study evaluates factors such as service speed, order accuracy, discipline, and cleanliness. The classification results show a high level of accuracy in determining employee performance categories, whether good or bad. This book not only provides data-driven solutions for improving service quality but also serves as a practical reference for business owners and students who want to develop objective and measurable employee evaluation strategies.
