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Sugar is a major national need that will continue to increase along with population growth. Sugar cane is one of the important crop commodities in the development of the plantation sub-sector in East Java, among others, to meet the needs of domestic sugar and exports of the National Sugar Productivity since 2001. Its progress is the sugar industry in accordance with the agreement which was first carried out by the quality of sugar cane . The aspects that affect the quality are sugar cane (on farm) and factory (off farm) aspects related to technical and technological processes. This research studies the factors that influence sugar production in the Asembagus sugar factory. The method used to solve this problem is multiple linear regression by submitting six predictor variables, namely sugarcane production, fertilization, irrigation, rainfall, yield of sugar cane, and land area, then the dependent variable is sugar production. Based on the analysis obtained an appropriate regression model and has fulfilled the BLUE assumption is Y=-1357+0,06681X1+0,09X2-21,9X3+0,973X4+329,7X5-1,25X6. This regression model is expected to assist the leaders of the Asembagus sugar factory in determining policies to increase sugar production in the future