Predicting The Number of Tourists Based on Backpropagation Algorithm

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 t...

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Bibliographic Details

Published in:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (Online) Vol. 5; no. 3; pp. 439 - 445
Main Authors:	Dwi Marlina, Fatchul Arifin
Format:	Journal Article
Language:	English
Published:	Ikatan Ahli Informatika Indonesia 01.06.2021
Subjects:	artificial neural networks, backpropagation algorithm, prediction, tourist
ISSN:	2580-0760, 2580-0760
Online Access:	Get full text
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