Klasifikasi Penjurusan Sekolah Menengah Atas dengan Algoritma Naive Bayes Classifier pada SMAN 1 SUBAH

HIDAYAH, NIKMATUL (2014) Klasifikasi Penjurusan Sekolah Menengah Atas dengan Algoritma Naive Bayes Classifier pada SMAN 1 SUBAH. Skripsi, Fakultas Ilmu Komputer.

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Abstract

Placement of students of class X who will rise to a high school class XI students aim to be more focus on developing skills and interests owned. This strategy is expected to maximize the potential, talent or talents of the individual, so also will maximize academic value. Determination of the majors will have an impact on the activities and influence the selection of the next academic science or study for students who want to go to college later. Programs that are not appropriate can be very detrimental to the students and their future.On the basis of these problems, then do the research to apply data mining methods, namely naive bayes classifier algorithm to classify major courses.Naive bayes is a method of classifying the data with statistical models that can be used to predict the probability of membership in a class and used ntuk analyzing the decision help achieve the best result of a problem from a number of alternatives. The results of the classification accuracy of a high school student majoring N 1 Subah using naive bayes has an accuracy of 98.00% and the AUC value 0.999%. Accuracy produced by the naive bayes algorithm an excellent accuracy and can be applied to improve the classification accuracy of placement of students SMA N 1 Subah.

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