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    Application Cluster Analysis on Time Series Modelling with Spatial Correlations for Rainfall Data in Jember Regency

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    FARMASI_Application Cluster Analysis on Time Series Modelling with Spatial Correlations for Rainfall.pdf (4.132Mb)
    Date
    2016-09-09
    Author
    YUDISTIRA, Ira
    HADI, Alfian Futuhul
    ANGGRAENI, Dian
    LESTARI, Budi
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    Abstract
    —Forecasting is a statistical analysis to obtain an overview the development of event in the future. Forecasting performed on time series data, is a series of data observation data that affected by previous data. In addition, time series data is also affected by the location of research, it is called spatial correlations. This correlation can be analyzed by cluster analysis method. Cluster analysis aims to group objects based on similar characteristics. Variability of rainfall in Jember Regency depends on time and space so that there is a spatial correlation. Cluster analysis is expected to form groups that optimal in the data so that the forecasting results more optimal. Selection of the best forecasting models in this study is determined by the smallest RMSE value.
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    https://repository.unej.ac.id/xmlui/handle/123456789/113381
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    • LSP-Conference Proceeding [1877]

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    Contact Us | Send Feedback

    Indonesia DSpace Group :

    University of Jember Repository
    IPB University Scientific Repository
    UIN Syarif Hidayatullah Institutional Repository