<![CDATA[This study aims to examine employee performance in relation to workload and the work environment, employing a quantitative research design. Data analysis utilized correlation analysis, the coefficient of determination, and multiple linear regression. The results indicate a correlation coefficient (r) of 0.099 between X1 (workload) and Y (performance), signifying a positive yet very weak relationship. The correlation between X2 (work environment) and Y was -0.115, indicating a very weak negative relationship. Meanwhile, the simultaneous correlation of X1 and X2 with Y was 2.580, implying a perfect correlation and demonstrating that workload and work environment influence the performance of non-medical contract employees. The coefficient of determination was 2.6%, meaning variables X1 and X2 contributed 2.6%, while the remaining 97.6% was determined by factors not included in this study. The multiple linear regression equation is Y = 50.347 + 0.0889X1 - 0.1247X2 + e. Hypothesis testing yielded a t-count of 1.725 for workload; with a t-table value of 1.651 (at df = 237 and a significance level of 0.05), the result indicates a significant influence on employee performance. Since t-count > t-table (1.725 > 1.651), the decision is to accept Ha and reject Ho. Regarding the work environment, the t-count was 1.960; since this exceeds the t-table value of 1.651, the decision is to accept Ha and reject Ho, indicating a significant influence on employee performance.]]>
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