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Peramalan Indeks Harga Konsumen (IHK) Indonesia menggunakan forecast package pada R

Author

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  • Ahmar, Ansari Saleh

    (Universitas Negeri Makassar)

  • Arifin, Andi Nurani Mangkawani

Abstract

Indeks Harga Konsumen adalah Ialah suatu indeks, yang menghitung rata-rata perubahan harga dalam suatu periode, dari suatu kumpulan barang dan jasa yang dikonsumsi oleh penduduk/rumah tangga dalam kurun waktu tertentu. Pada tulisan akan dibahas tentang peramalan indeks harga konsumen Indonesia dengan menggunakan forecast package dengan Software R. Proses peramalan data ini menggunakan algoritma yang dipopulerkan oleh Rob J. Hyndman dan Yeasmin Khandakar pada tahun 2008. Dengan menggunakan metode ini maka diperoleh suatu model ARIMA yang cocok untuk meramalkan data IHK Indonesia. Model time series yang paling sesuai adalah ARIMA(1,0,0).

Suggested Citation

  • Ahmar, Ansari Saleh & Arifin, Andi Nurani Mangkawani, 2017. "Peramalan Indeks Harga Konsumen (IHK) Indonesia menggunakan forecast package pada R," INA-Rxiv bmwvy, Center for Open Science.
    • Handle: RePEc:osf:inarxi:bmwvy
    DOI: 10.31219/osf.io/bmwvy
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    References listed on IDEAS

    as
    1. Rahman, Abdul & Ahmar, Ansari Saleh, 2017. "Forecasting of Primary Energy Consumption Data in the United State: a comparison between ARIMA and Holter Winters Models," INA-Rxiv snxrq, Center for Open Science.
    2. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
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