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The objective of this study is to develop the time series model so the model can give a forecast value of rice price using ARIMA. Forecasting rice price is an action to help government in monitor and control it. Price monitoring is conducted to achieve the good development of domestic trade. In this case, price monitoring is done to maintain the price stability so that it will not harm producers and consumers. The model ARIMA(1,1,2) is suitable for medium quality rice for data period from January 2015 because it has a good accuracy.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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