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Background: The workplace function of nurses is an important thing that must be paid attention to by hospitals. Nurses certainly have an important function in their work in terms of health services. Employees should be able to adapt and be respected in their work environment. However, some people experience problems adapting to their work environment, resulting in low performance. Nurses' decreased function at work due to high workloads makes it difficult to control one's own behavior. This results in the implementation of the work not being optimal.Objective: This study was conducted to examine the factors that influence workplace function in nurses Method: This research is a quantitative research with a survey design. Research data was collected using a questionnaire from respondents who work as nurses in hospitals. The sampling technique used purpose sampling technique and the sample size was 200 nurses. This research uses SEM (Structural Equation Modeling) analysis using AMOS and regression analysis using SPSS. Results: Based on the results of the analysis that has been carried out, the research results show: self-regulation capacity has a significant effect on functioning at work, self-regulation capacity has a significant effect on self-destruction, self-regulation capacity has a significant effect on job craftsmanship, self-destruction has a significant effect on functioning at work. workplace, work craft has a significant influence on function in the workplace. Burnout does not moderate the relationship between self-regulatory capacity and functioning at work so it does not have a significant influence. Conclusion: Increased functioning in the workplace for nurses is influenced by optimal self regulation capacity in nurses, self-destruction which can be increasingly minimized, work craftsmanship which increases in nurses.

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.