Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ

Rizka Cahya Syafitri, Ari Yanuar Ridwan, Nia Novitasari. Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ. In ICONETSI 2020: International Conference on Engineering and Information Technology for Sustainable Industry, Alam Sutera, Tangerang, Indonesia, September, 2020. ACM, 2020. [doi]

@inproceedings{SyafitriRN20,
  title = {Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ},
  author = {Rizka Cahya Syafitri and Ari Yanuar Ridwan and Nia Novitasari},
  year = {2020},
  doi = {10.1145/3429789.3429844},
  url = {https://doi.org/10.1145/3429789.3429844},
  researchr = {https://researchr.org/publication/SyafitriRN20},
  cites = {0},
  citedby = {0},
  booktitle = {ICONETSI 2020: International Conference on Engineering and Information Technology for Sustainable Industry, Alam Sutera, Tangerang, Indonesia, September, 2020},
  publisher = {ACM},
  isbn = {978-1-4503-8771-2},
}