دورية أكاديمية
Predicting The Number of Tourists Based on Backpropagation Algorithm
| العنوان: | Predicting The Number of Tourists Based on Backpropagation Algorithm |
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| المؤلفون: | Dwi Marlina, Fatchul Arifin |
| المصدر: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 5, Iss 3, Pp 439-445 (2021) |
| بيانات النشر: | Ikatan Ahli Informatika Indonesia, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Systems engineering LCC:Information technology |
| مصطلحات موضوعية: | artificial neural networks, backpropagation algorithm, prediction, tourist, Systems engineering, TA168, Information technology, T58.5-58.64 |
| الوصف: | The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The purpose of this research is to develop a prediction system for the number of tourists based on artificial neural networks. This study uses an artificial neural network for data processing methods with the backpropagation algorithm. This study carried out two processes, namely the training process and the testing process with stages consisting of: (1) Collecting input and target data, (2) Normalizing input and target data, (3) Creating artificial neural network architecture by utilizing GUI (Graphical User Interface) Matlab facilities. (4) Conducting training and testing processes, (5) Normalizing predictive data, (6) Analysis of predictive data. In the data analysis, the MSE (Mean Squared Error) value in the training process is 0.0091528 and in the testing process is 0.0051424. Besides, the validity value of predictive accuracy in the testing process is around 91.32%. The resulting MSE (Mean Squared Error) value is relatively small, and the validity value of prediction accuracy is relatively high, so this system can be used to predict the number of tourists in Kaliadem Merapi, Sleman. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2580-0760 |
| Relation: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/3061; https://doaj.org/toc/2580-0760 |
| DOI: | 10.29207/resti.v5i3.3061 |
| URL الوصول: | https://doaj.org/article/d2e95e7c905448c7a6514c3f59eaeccc |
| رقم الأكسشن: | edsdoj.2e95e7c905448c7a6514c3f59eaeccc |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 25800760 |
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| DOI: | 10.29207/resti.v5i3.3061 |