PENERAPAN DATA MINING DALAM PREDIKSI KELULUSAN TEPAT WAKTU MENGGUNAKAN ALGORITMA NAIVE BAYES UNIVERSITAS MUHAMMADIYAH YPGYAKARTA.
Abstract
Timely graduation is very important for students, study programs and
universities. Some students who have passed the analysis to be a prediction of
students who are still sitting in the lecture, so as to predict the number of students
who can pass on time in the future. The process of data analysis using data mining
techniques and Naive Bayes algorithm. Data used by students of 2010-2011 who
have graduated and have not passed as data training as much as 435 record. Force
2011 and 2014 are taken at random as data testing as many as 100 records from
the database of Muhammadiyah University of Yogyakarta. Software used
RapidMiner, Sql Server 2014 studio management and excel micrososft