Application of Naive Bayes Algorithm for Determination of Continuing Education Level with Classification of Data Mining at At Thohiriyyah
Determination of secondary school for junior high school students equivalent is the beginning of the change in the ideals of position. This is because the level of education will prefer choices in high school SMA, SMK MAN will bring students on the choice of continuing education education, to realize the goals that will be in the future. Then the Naive Bayes method is applied in classifying the next level of education based on the data that is trained, from the data is right a good probability, with the value of the probability, it can be predicted that the level of education is suitable for students. In this study there were 239 student data used to determine the accuracy of the Naive Bayes method in classifying the next level of education. From the results of testing the Naive Bayes method produces data with 67.83% presentation accuracy of 9.57% and for 10 data of 67.78%.
Keywords: Determination of Education Level, Naive Bayes