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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.
Abstract: 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%.
Meiryani and Dezie Leonarda Warganegara, “Implementation of Artificial Neural Network in Forecasting Sales Volume in Tokopedia Indonesia” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120551
@article{2021,
title = {Implementation of Artificial Neural Network in Forecasting Sales Volume in Tokopedia Indonesia},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120551},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120551},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Meiryani and Dezie Leonarda Warganegara}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.