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This study aims to compare forecast performance of Neural Network (NN) to ARIMA in the case of Indonesia's inflation and to find if there is any interesting trend in Indonesia's inflation. We use year-on-year monthly Indonesia's inflation data from 2006:12 to 2018:12 released by Bank Indonesia (BI) and the Indonesian Central Bureau of Statistics (CBS). We divide the series into 3 data series to capture the trend in the inflation (i.e DS1, DS2 and DS3). The data set 1 (DS1) covers data fromdoi:10.15294/edaj.v8i2.29074 fatcat:xqd6tv5tjbdwzfmj5gllt3ki7i