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This study aims to determine whether there is an effect of Job Stress and Job Satisfaction on Employee Performance at PT Sinwa Makmur Perkasa Pratama. The method used in this research is quantitative method. The population in this study amounted to 150 people. The sample collection technique in this study used Accidental sampling. The sample in this study amounted to 109 respondents obtained from calculations using the slovin formula. This study uses multiple linear regression analysis, and hypothesis testing using the t test and F test. The results of this study indicate that in the partial test (t) the work stress variable partially affects employee performance at PT. Sinwa Makmur Perkasa Pratama with a calculated t value of 2.093> t table 1.662 and sig value. 0.039 <0.05, job satisfaction variables partially affect employee performance at PT. Sinwa Makmur Perkasa Pratama with a t value of 7.179> t table 1.662 and sig value. 0.000 <0.05, and the results of the simultaneous test (F) the variables of job stress and job satisfaction simultaneously affect employee performance at PT. Sinwa Makmur Perkasa Pratama with the value of F count 29.358> F table 3.08 and sig value. 0,000 < 0,05.

Background: Errors in inputting medical record data are still found in health services. The phenomenon that occurs in the use of electronic medical records is still an obstacle for health workers due to the complexity of the system. So research to reduce errors in inputting electronic medical record data needs to be done. Aims: This study was conducted to examine errors in inputting medical record data. The error of medical record data is influenced by technological stress factors. In addition, technological stress which is a mediator variable is also influenced by three factors, namely technology that is realistically more advanced, compatibility and complexity. Methods: . Information collected through questionnaires distributed to health workers who meet certain criteria and using electronic medical records. A total of 200 individuals in the sample were selected, selected using nonprobability sampling techniques. To test the validity of the Strucktural Equation Model (SEM) Analysis used with the Amos method Results: The results of data analysis in this study show that technological stress has a positive impact on electronic medical record data errors. In addition, relatively more advanced technology and complexity also positively affect technology stress and compatibility negatively affect technology stress Conclusion: The application of technology for hospital administration must be easy to use without the need for more learning and compatibility between work, technology used, and people who use it to reduce stress on technology in order to facilitate the input of medical records.