Implementation of Backpropagation Neural Network Method in Classification System of Timeliness of Graduation

Abstract

Information Systems is one of the study programs at the University of Jember which was established since 2009. To earn a degree of bachelor, students must pass 144 credits of 4-5 years study period. Method for classifying using an artificial neural network of Backpropagation. Attribute used for classification is 9 attributes, namely Grade Point Average (GPA) from 1 to 6 semester, the number of credits taken, the last semester taking Student Study Service (KKN) and Internship (PKL). Class used for the classification is the timeliness of graduation. The implementation of this classification method is done by learning rate 0.1, 0.3, 0.5, 0.7, and 0.9 with the iteration limit of 1,000, 2,000, and 3,000. The highest accuracy is 98.82% for the 2000 and 3000, each with learning rate = 0.7 and 0.9 for the 2000 th iteration and learning rate = 0.5, 0.7 and 0, 9 for the 3000 th iteration.