<![CDATA[This study aims to determine and analyze the effect of the automatic belt conveyor technology work system on employee performance at PT Joeneos Ikamulya Yuri. Field observations indicate operational obstacles to adapting to new technology early in the implementation phase, potentially impacting work productivity. This study employed a quantitative approach with an associative approach. The population was all employees of PT Joeneos Ikamulya Yuri, with a total sample of 100 respondents using the Krejcie & Morgan formula sample determination (5% margin of error). Primary data collection was conducted through the distribution of structured questionnaires. Data analysis was performed using SPSS version 26, including validity tests, reliability tests, classical assumption tests (normality tests, linearity tests, and heteroscedasticity tests), simple linear regression analysis, correlation coefficient (R) tests, partial significance tests (t-tests), and coefficient of determination (R²) tests. The instrument test results show that all statement items for variables X and Y have valid values with a calculated r value > r table of 0.1638 and are reliable with Cronbach's Alpha values for variable X (0.799) and variable Y (0.778) above the standard of 0.60. The results of a simple linear regression analysis produce the equation Y = 8.326 + 0.780X. Based on the t-test (partial), the Work System variable of the Application of Automatic Belt Conveyor Technology has a positive and significant effect on Employee Performance, as evidenced by the calculated t value of 11.112 > t table and a significance value of 0.000 < 0.05. The correlation coefficient (R) value of 0.747 indicates a causal relationship between the variables in the strong category. The results of the coefficient of determination (R²) test show a value of 0.558, which means that the contribution of the application of automatic belt conveyor technology to employee performance is 55.8%, while the remaining 44.2% is influenced by other variables outside this research model.]]>
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