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  • 标题:WINTERS EXPONENTIAL SMOOTHING AND Z-SCORE, ALGORITHMS FOR PREDICTION OF RAINFALL
  • 本地全文:下载
  • 作者:KRISTOKO DWI HARTOMO ; SUBANAR ; EDI WINARKO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:73
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The detailed rainfall forecasting to districts in Indonesia are limited. The researches related to the rainfall forecasting are needed in order to support the development in different fields including agricultural areas. There is no one model or system integrating climatic classifications and the weather forecasting aiming at determination of the ideal cultivating season. This rainfall forecasting was developed by processing the previous rainfall data using the combination of Z-Score model, transformation function, and the Winters Triple Exponential Smoothing. The data resulted from the forecasting was used to determine the spatial-based climatic classification in Boyolali, Central Java, Indonesia using Oldeman method. The proposed model is able to predict the weather using climatic classification. The rainfall data resulted from the proposed forecasting model can be used for climatic classification using Oldeman method in the research area.
  • 关键词:Climatic Classification; Forecasting; Model; Oldeman; Transformation; Winters; Z-Score
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