Analisis peramalan permintaan dan pengendalian persediaan bahan baku pembantu pada industri gula (Studi kasus PT. XYZ Lampung Utara)

Forecasting & inventory management is one of the important factors in determining the sustainability of a business in an industry. The research objective is to analyze the sales forecasting method most suitable for the sugar industry of PT. XYZ & analyze inventory control techniques using the Economic Order Quantity (EOQ) method. There are 5 forecasting methods uses, namely: Linear Regression, Moving Average, Weighted Moving Average, Exponential Smoothing, & exponential smoothing with trend. The analysis shows that the linear regression method is the most suitable forecasting method used by the sugar industry of PT. XYZ with the smallest MAD, MSE, & MAPE values compared to other methods is 7,195, 65,854,060, & 10%, with forecast results in 2019 of 44,746 tons of granulated sugar. The results of the analysis of inventory control using the EOQ method of sulfur auxiliary raw materials & caustic soda. The frequency of ordering for sulfur is done 28 times per year having a total inventory cost of Rp. 1,010,908,000 & cost savings of Rp. 19,581,365. & causatic soda helpers with a frequency of ordering 27 times per year having a total inventory cost of Rp. 922,241,500 & cost savings of Rp. 17,840,930.