Open AccessJaringan Syaraf Tiruan Backpropogation dalam Memprediksi Jumlah Tilang di Kejaksaan Negeri Simalungun
Author(s) -
Sony Irwanda,
Jaya Tata Hardinata,
Irfan Sudahri Damanik
Publication year - 2019
Publication title -
prosiding seminar nasional riset information science (senaris)
Language(s) - English
Resource type - Journals
ISSN - 2686-0260
DOI - 10.30645/senaris.v1i0.76
Subject(s) - artificial neural network , computer science , matlab , artificial intelligence , architecture , software , operating system , art , visual arts
This study predicts the number of ticketing by applying Artificial Neural Networks. The application uses the Backpropogation algorithm where the data entered is the number of tickets. Then an Artificial Neural Network is formed by determining the number of units per layer. After the network is formed training is carried out from the data that has been grouped. Experiments are carried out with a network architecture consisting of input units, hidden units, output units and network architecture. Testing is done with Matlab software.