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Consumers, businesses, policymakers, and energy industry players in Malaysia rely on accurate RON97 price forecasts for effective budgeting, cost management, economic planning, and strategic decision-making. The volatile nature of global crude oil prices, together with the influence of taxes, refining costs, and currency exchange rates, makes RON97 price prediction a complex challenge. This study addresses the need to determine the best forecasting model for monthly fuel price of RON97 between Box-Jenkins autoregressive integrated moving average (ARIMA) models.  The data is taken from Malaysia’s Official Open Data Portal, which consists of the price of Petroleum and Diesel in Malaysia. This data consists of monthly prices of RON97 fuel in Malaysia since January 2020 until January 2024.  The ARIMA (1,1,1) model was selected as the best forecasting approach.  The forecasted range of the price of RON97 generated by this model was between RM 3.37 and RM 3.62. Future research could investigate the use of external factors or seasonal components to improve model performance.