Ansari Saleh Ahmar, Achmad Daengs Gs, Tri Listyorini, Castaka Agus Sugianto, Y. Yuniningsih, Robbi Rahim, Nuning Kurniasih
The Consumer Price Index is an index which calculates the average change in prices over a period, of a set of goods and services consumed by the population/households within a specific time. In this paper will be discussed about the forecasting of consumer price index of Indonesia using forecast package with R Software. The forecasting process this data using algorithms popularized by Rob J. Hyndman and Yeasmin Khandakar in 2008. By using this method, it is obtained a suitable ARIMA model to forecast CPI data Indonesia. The model most suitable time series is ARIMA (1,0,0). © Published under licence by IOP Publishing Ltd.
Department of Statistics, Universitas Negeri, Makassar, Indonesia; Universitas 45 Surabaya, Surabaya, Indonesia; Teknik Informatika, Universitas Muria, Kudus, Indonesia; Teknik Informatika-Politeknik TEDC, Bandung, Indonesia; Department of Management, Faculty Economic and Business, Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia; School of Computer and Communication Engineering, Universiti Malaysia Perlis, Perlis, Malaysia; Faculty of Communication Sciences, Universitas Padjadjaran, Jawa Barat, Bandung, 45363, Indonesia
