APPLICATION OF THE NAIVE BAYES ALGORITHM AND SIMPLE EXPONENTIAL SMOOTHING FOR FOOD COMMODITY PRICE FORECASTING

Muhammad, Lutfi and Muttaqien, Hidayatul and Apriliani, Aulia and Hazriani, Hazriani and Yuyun, Yuyun (2019) APPLICATION OF THE NAIVE BAYES ALGORITHM AND SIMPLE EXPONENTIAL SMOOTHING FOR FOOD COMMODITY PRICE FORECASTING. 1st International Conference on Science and Technology (ICOST). ISSN 2593-7642

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Abstract

Inconstancy of the market prices can affect society's purchasing power. One effort to anticipate the price uncertainty is by conducting commodity price forecasting. In the concept of forecasting, the commodity prices can be predicted by studying sales data in the previous period. This study aims to implement a decision support system in predicting food commodity prices trend. In data collection, the authors used list of food commodities provided by Industry and Trade Service of Gowa Regency. For data analysis, we use Naive Bayes algorithm to predict the food commodity prices in the future and Simple Exponential Smoothing to find out the price trend in a certain period. As a result, both methods can predict commodity prices and market tendency in a given time completely.

Item Type:	Article
Subjects:	300 Social Science > 330 - 339 Ilmu Ekonomi > 338 Produksi, Ekonomi Industri > 338.06 Efisiensi Ekonomi Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Dr. Eng. Hazriani S.Kom., M.T.
Date Deposited:	17 Jun 2022 03:27
Last Modified:	17 Jun 2022 03:27
URI:	http://repo.handayani.ac.id/id/eprint/144

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