期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2014
卷号：12
期号：2
页码：465-474
语种：English
出版社：Universitas Ahmad Dahlan
摘要：Predicting timing of student graduation would be a valuable input for the management of a Department at a University. However, this is a difficult task if it is done manually. With the help of learning on the existing Artificial Neural Networks, it is possible to provide training with a certain configuration, in which based on experience of previous graduate data, it would be possible to predict the time grouping of a student’s graduation. The input of the system is the performance index of the first, second, and third semester. Based on testing performed on 166 data, the Artificial Neural Networks that have been built were able to predict with up to 99.9% accuracy.
关键词：prediction, time of graduation, Artifical Neural Network, Backpropagation
