Joint Workshop KO2PI and The 1st International Conference on Advance & Scientific Innovation

Research Article

Package iClick OSSR for Tracking The Best ARIMA Model

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  • @INPROCEEDINGS{10.4108/eai.23-4-2018.2277596,
        author={Gumgum Darmawan and Nuning Kurniasih and Darmawan Napitupulu and Dahlan Abdullah and Nanik Kurniawati and Ansari Saleh Ahmar},
        title={Package iClick OSSR for Tracking The Best ARIMA Model},
        proceedings={Joint Workshop KO2PI and The 1st International Conference on Advance \& Scientific Innovation},
        publisher={EAI},
        proceedings_a={ICASI},
        year={2018},
        month={7},
        keywords={arima package iclick ossr},
        doi={10.4108/eai.23-4-2018.2277596}
    }
    
  • Gumgum Darmawan
    Nuning Kurniasih
    Darmawan Napitupulu
    Dahlan Abdullah
    Nanik Kurniawati
    Ansari Saleh Ahmar
    Year: 2018
    Package iClick OSSR for Tracking The Best ARIMA Model
    ICASI
    EAI
    DOI: 10.4108/eai.23-4-2018.2277596
Gumgum Darmawan1,*, Nuning Kurniasih2, Darmawan Napitupulu3, Dahlan Abdullah4, Nanik Kurniawati5, Ansari Saleh Ahmar6
  • 1: Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Bandung, Indonesia
  • 2: Faculty of Communication Sciences, Library and Information Science Program, Universitas Padjadjaran, Bandung, Indonesia
  • 3: Research Center for Quality System and Testing Technology, Indonesian Institute of Sciences, Jakarta Indonesia
  • 4: Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia
  • 5: The National Archive of The Republic of Indonesia (ANRI)
  • 6: Department of Statistics, Faculty of Mathematics and Natural Science, Universitas Negeri Makassar, Makassar, Indonesia
*Contact email: gumgum@unpad.ac.id

Abstract

Package iClick is one of many packages in OSSR (opensource Software R) that have many syntaxes. There is five principle iclick syntax available in this package. GUI features of this package make researcher can easily use this package. In this paper, we study about getting the best ARIMA (Autoregressive Moving Average) model. We use IBM data which are available in this package. To track the best ARIMA model, order of ARIMA is tried from 1,2 and 3. According to the result, ARIMA with order 2 is suitable for IBM data because of the significance of parameter and white noise.