Kusnadi, Adhi and Putra, Idul (2015) Rancang Bangun Sistem Pakar Prediksi Stres Belajar Dengan Neural Network Algoritma Backpropagation. Ultimatics : Jurnal Teknik Informatika, 7 (2). ISSN 2085-4552
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Keywords: | Stress on study, expert system, neural network, Stress Prediction |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 11 Oct 2021 08:07 |
| Last Modified: | 11 Oct 2021 08:07 |
| URI: | https://kc.umn.ac.id/id/eprint/18618 |
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