Naïve Bayes or better known as Naïve Bayes classifier is a classification with a simple method of probability and statistics that was created by the British scientist named Thomas Bayes. The Bayes theorem is combined with the "Naïve" in which the every attribute conditions are assumed independent [9]. In addition, the Naïve Bayes Classifier is suitable when the dimension has high input. Despite its simplicity, Naïve Bayes can often do better than more sophisticated classification methods [10]. Naïve Bayes also allows any attributes to contribute to the final decision of the other independent attributes