文章基本信息

标题：Implementation of Artificial Neural Network in Forecasting Sales Volume in Tokopedia Indonesia
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作者：Meiryani ; Dezie Leonarda Warganegara
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：5
页码：416
DOI：10.14569/IJACSA.2021.0120551
出版社：Science and Information Society (SAI)
摘要：Predicting sales is one way to get company profits. Tokopedia Indonesia is one of the marketplaces that is included in the type of e-commerce customer to customer (C2C). This research was conducted in order to help sellers in the Tokopedia Indonesia marketplace to predict the sales of their merchandise, so that sellers can prepare or stock items that are predicted to increase in sales by implementing Artificial Neural Networks. Artificial neural networks can help predict future sales values. The data is divided into training data and testing data. The results of the analysis of this study indicate that the network model obtained reaches an accuracy rate of 95%.
关键词：Forecasting; e-commerce; backpropagation; artificial neural network