Abstract
The price of Barramundi in Malaysia is crashed due to the dumping of Barramundi from oversea with lower quality. In this study, the future Barramundi price is predicted so that the predicted price can be used to plan what action should be taken in order to reduce the cost of landing and production of Barramundi. Then, the price of Barramundi will be competing with imported price from oversea countries. The data were taken from Department of Fisheries Malaysia. The data for Barramundi price are in a trend pattern. In this study, two methods have been applied which were autoregressive integrated moving average (ARIMA) and Holt-Winters. The performance of both models was measured using mean square error (MSE) and mean absolute percentage error (MAPE). The MSE and MAPE values will be compared for both methods in choosing the best model. The best model was ARIMA model since the values of MSE and MAPE are lower compared to the values of MSE and MAPE for Holt-Winters model. So ARIMA model is used to forecast the Barramundi price.
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