Open AccessRancang Bangun Sistem Pakar Prediksi Stres Belajar Dengan Neural Network Algoritma Backpropagation
Author(s) -
Adhi Kusnadi,
I Made Suwija Putra
Publication year - 2016
Publication title -
ultimatics : jurnal ilmu teknik informatika/ultimatics : jurnal teknik informatika
Language(s) - English
Resource type - Journals
eISSN - 2581-186X
pISSN - 2085-4552
DOI - 10.31937/ti.v7i2.361
Subject(s) - backpropagation , artificial neural network , computer science , artificial intelligence , stress (linguistics) , machine learning , linguistics , philosophy
Stress will definitely be experienced by every human being and the level of stress experienced by each individual is different. Stress experienced by students certainly will disturb their study if it is not handled quickly and appropriately. Therefore we have created an expert system using a neural network backpropagation algorithm to help counselors to predict the stress level of students. The network structure of the experiment consists of 26 input nodes, 5 hidden nodes, and 2 the output nodes, learning rate of 0.1, momentum of 0.1, and epoch of 5000, with a 100% accuracy rate.
Index Terms - Stress on study, expert system, neural network, Stress Prediction