Price of Rice Forecasting Based on Pattern Similarity

  • Eka D. Wahyuni Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia
  • Mohamad I. Afandi Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia

Abstract

This paper implement PSF to forecast price of rice based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. Thus, the prediction of a data point is provided as follows: first, the pattern sequence prior to the day to be predicted is extracted. Then, this sequence is searched in the historical data and the prediction is calculated by averaging all the samples immediately after the matched sequence. Results from several price time series are reported and the performance from PSF is compared to that of statistic based techniques (AHW, MHW, ARIMA and ETS). From the result, AHW method shows better accuracy in prediction

Downloads

Download data is not yet available.
Published
Jul 23, 2018
How to Cite
WAHYUNI, Eka D.; AFANDI, Mohamad I.. Price of Rice Forecasting Based on Pattern Similarity. Proceedings, [S.l.], v. 1, n. 1, p. 543-548, july 2018. Available at: <http://ojs.pnb.ac.id/index.php/Proceedings/article/view/961>. Date accessed: 22 aug. 2018.