Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh, Indonesia

Research Article

Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data

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  • @INPROCEEDINGS{10.4108/eai.18-7-2019.2288596,
    author={Gumgum  Darmawan and Dedi  Rosadi and Budi Nurani R},
    title={Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data  },
    proceedings={Proceedings of The 2nd International Conference On Advance And Scientific Innovation, ICASI 2019, 18 July, Banda Aceh,  Indonesia},
    publisher={EAI},
    proceedings_a={ICASI},
    year={2019},
    month={11},
    keywords={bootstrap forecasting rainfall singular spectrum analysis (ssa)},
    doi={10.4108/eai.18-7-2019.2288596}
}
  • Gumgum Darmawan
    Dedi Rosadi
    Budi Nurani R
    Year: 2019
    Performance of Bootstrap Method in Singular Spectrum Analysis on Forecasting Rainfall Data
    ICASI
    EAI
    DOI: 10.4108/eai.18-7-2019.2288596
Gumgum Darmawan1,*, Dedi Rosadi2, Budi Nurani R1
  • 1: Padjadjaran University, Jatinangor, Sumedang, Indonesia
  • 2: Department of Mathematics, Gadjah Mada University, Jogjakarta, Indonesia
*Contact email: gumgum@unpad.ac.id

Abstract

SSA forecasting based on bootstrap is used to forecast rainfall data. The execution of the strategy is inspected as far as an assortment grouping and Window length. Application to original data are directed to research the precision of this method in contrast with other prediction methods i.e linear recurrent (LRF) and vector forecasting method. After running computation by software R, The bootstrap forecasting method released the best result then any other methods i.e LRF and vector method.

Keywords
bootstrap forecasting rainfall singular spectrum analysis (ssa)
Published
2019-11-26
Publisher
EAI
http://dx.doi.org/10.4108/eai.18-7-2019.2288596
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