Open AccessAnalisis Metode Backpropagation Memprediksi Penerimaan Santri/Wati di Pondok Pesantren Modern Al-Kautsar
Author(s) -
Parta Wijaya,
Rahmat Widia Sembiring,
S Saifullah
Publication year - 2021
Publication title -
jurasik : jurnal riset sistem informasi dan teknik informatika/jurasik (jurnal riset sistem informasi dan teknik informatika)
Language(s) - English
Resource type - Journals
eISSN - 2549-7839
pISSN - 2527-5771
DOI - 10.30645/jurasik.v6i1.278
Subject(s) - backpropagation , artificial neural network , epoch (astronomy) , computer science , boarding school , matlab , artificial intelligence , mathematics education , mathematics , geography , archaeology , stars , islam , computer vision , operating system
The development of technology today with the existence of artificial intelligence, conducted research to prove the Backpropagation method can predict students / wati in the modern boarding school Al-Kautsar. Artificial neural network is a method that is able to perform mathematical processes in predicting santri / wati. Bacpropagation algorithm is used to process data that is implemented with Matlab. Where data is collected through direct observation. Data is grouped by majors. The results obtained from the Matlab test performace and epoch values of each architecture are not the same as the results of the tests are displayed in the form of a graph comparing the target value with the research and testing process. The results of this study provide information on the modern Al-Kautsar boarding school on the number of registrants in 2020