@inproceedings{b7d26906bd084f1eb1b2bf1f6f5e67bb,
title = "Agricultural strategic commodity price forecasting using artificial neural network",
abstract = "Agricultural commodities, especially perishable one such as chili and onion have sharp and irregular price fluctuation. Decreasing supply of the commodities to the marketplace produces its price soars. On the contrary, the price falls below the normal price when its supply increase abundantly. Where the price stability on the commodities is desired, government are trying to maintain its supply rigorously. This paper aims to forecast chili price as a perishable commodities to help the decision maker in maintaining its supply. The method used in this study was artificial neural network using the input variable i.e. consumer's price, chili production, and chili consumption. The artificial neural network model has been produced using the available data. It has MAPE value 16.19% and considered as sufficient accuracy.",
keywords = "Agriculture, Artificial neural network, Forecasting, Price, Strategic commodity",
author = "Wiwik Anggraeni and Faizal Mahananto and Rofiq, {M. Aunu} and Andri, {Kuntoro Boga} and Sumaryanto and Zulkifli Zaini and Subriadi, {Apol Pribadi}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018 ; Conference date: 21-11-2018 Through 22-11-2018",
year = "2018",
month = nov,
doi = "10.1109/ISRITI.2018.8864442",
language = "English",
series = "2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "347--352",
booktitle = "2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018",
address = "United States",
}