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Palm oil is one of the most consumed and produced oils in the world. Oil that is cheap, easily produced and the amount of production is stable is used as raw material for various products such as food, cosmetics, hygiene products, and also as a source of biofuels or biodiesel. PT X produces products in the form of crude palm oil (CPO) and palm kernel (Kernel). A fundamental mistake that often occurs in making decisions is a mistake in making the right sales predictions. Effective planning for both the long and short term depends on forecasting demand for CPO products. The purpose of this study is to know and study demand forecasting using the Time Series method as the first step in designing production and making decisions that will be taken to carry out activities in the next stage. In this study forecasting is done based on historical data obtained from PT X in 2013 until 2017. Forecasting results are used as production planning data from January to December 2018. From the results of the research carried out obtained forecasting data with R2 value of 0.681 which means that the ability of data sales in explaining the results of future data is 68.1% with a p-value of 0.002 and an alpha value of 5% or 0.05 then p-value is less than an alpha value which means the model used has been fit and the forecasting results are valid.