Prediction Student Graduation on Time Using Artificial Neural Network on Data Mining Students STMIK Widya Cipta Dharma Samarinda
Asep Nurhuda, Rosita Dewi · 2017
This study originated from the author's observation in STMIK Widya Cipta Dharma Samarinda, from the data on the academic and student affairs administration (BAAK) where at the beginning of the academic year 2009/2010, there were 193 students who have been accepted in Informatics Engineering and 10% students who have been graduated on time in 2013. The desire to predict the students who graduate on time is expected to contribute in increasing the number of graduates. There are use artificial neural network learning on the data of students in academic year 2009 to get a pattern of students who graduate on time with the hope that the pattern can be used to predict the graduation of students in the next academic year.