The purpose of this study to determine how much influence the quality control of products and control of production machinery quality to the operational performance Types of causal associative research. The sampling technique used is probability sampling, which is a sampling technique that provides equal opportunity for each element of the population member to be selected as a sample member. The data used are primary data from questionnaires distributed to production employees from manager level to operator level. Total 150 sample members. Data analysis technique using Structural Equation Model (SEM) method of AMOS. Testing data consist of test of validity and reliability test. Test the classical assumption of normality test, Multicollinearity and Singularity test. Hypothesis Testing and Evaluation of Criteria Goodness of Fit. The test results show that there is an influence between the quality control of the product on the operational performance of the company. Estimate value 0.917 means that each increase of one unit of product quality control will improve the company's operational performance of 0.917. And there is an influence between controlling the quality of production machinery on the performance of the Company's Operations. Estimate value 0.374 means that each increase of one unit of production quality control machine will improve the company's operational performance of 0.374.