Main Article Content
The determination of the student's single tuition fee grade at XYZ University still faces problems, one of which is the inconsistency of supporting variables which change each year based on the number of students and the level of student welfare. Determination of the class of student's single tuition fee based on the web that applies the backpropagation algorithm is designed to produce an adaptive decision-making system for changing variable determinants so that every year it is not necessary to adjust the weight in determining the student's single tuition fee group. In building a decision support system to determine the student's single tuition fee group, there are several stages including data collection, data processing, backpropagation implementation, evaluation and presentation of the model, and implementation of a web-based decision support system. During the evaluation and presentation of the model, several experiments were carried out by considering various parameters to get the best accuracy results. The accuracy of the best model produced in this study reached 86% with output in the form of a web-based decision support system that is ready to be managed by the Center for Information and Computer Technology (PUSTIKOM) of XYZ University for use by new students.
 L Yoppi A, S. Latuconsina, E. R. Persulessy, “Aplikasi Jaringan Saraf Tiruan Backpropagation untuk Memprediksi Prestasi Siswa SMA (Studi kasus: Prediksi Prestasi Siswa SMAN 4 Ambon),” Jurnal Matematika Integratif., vol. 11, no. 2, 2015, doi: https://doi.org/10.24198/jmi.v11.n2.9427.149-160.
 L Yoppi A, S. Latuconsina, E. R. Persulessy, “A Comparison of Classification Accuracy for Gender Using Neural Networks Multilayer Perceptron (MLP), Radial Basis Function (RBF) Procedures Compared to Discriminant Function Analysis and Logistic Regression Based on Nine Sports Psychological Constructs to Measure Motivations to Participate in Masters Sports Competing at the 2009 World Masters Games,” International Symposiumon Computer Science in Sports (ISCSS)., vol. 392, no. 1, 2015, doi: https://doi.org/10.1007/978-3-319-24560-7_12.