Information System of Forecasting the Price of Beef Using Exponential Smoothing Method (Case Study: Dinas Perindustrian Dan Perdagangan Provinsi Sumatera Selatan)
- DOI
- 10.2991/aisr.k.200424.110How to use a DOI?
- Keywords
- forecasting, Exponential Smoothing, beef price
- Abstract
Dinas Perindustrian dan Perdagangan Provinsi Sumatera Selatan is one of element in Indonesia government that having responsibility in trade areas, one of the areas is beef trading. The price of beef was having unstable fluctuation in every month hence it was difficult to predict the price of beef for next month. Therefore, it is necessary to have forecasting the price of beef in Dinas Perindustrian dan Perdagangan Provinsi Sumatera Selatan. It is important to be done for the improvement of accuracy and monitor the price in Dinas Perindustrian dan Perdagangan Provinsi Sumatera Selatan as consideration of regulation to anticipate the late response of the rise the price of beef. Exponential Smoothing method is the one of method to anticipate the problem, particularly in the area of improvement the accuracy of predict the price of beef. The study described about the prediction system the price of beef by implementing Exponential Smoothing method. As the result, this system can predict the price of beef for the next month in South Sumatra Province.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Pacu PUTRA AU - Vivin YULIKA AU - Endang Lestari RUSKAN PY - 2020 DA - 2020/05/06 TI - Information System of Forecasting the Price of Beef Using Exponential Smoothing Method (Case Study: Dinas Perindustrian Dan Perdagangan Provinsi Sumatera Selatan) BT - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019) PB - Atlantis Press SP - 724 EP - 727 SN - 1951-6851 UR - https://doi.org/10.2991/aisr.k.200424.110 DO - 10.2991/aisr.k.200424.110 ID - PUTRA2020 ER -