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The Influence of Preventive Discipline, Internal Work Environment, Intrinsic Motivation on the Performance of Employees of the Regional Revenue Agency of Brebes Regency Rizky Meliana Putri; Ahmad Hanfan; Setyowati Subroto
International Journal of Economics and Management Research Vol. 5 No. 2 (2026): August : International Journal of Economics and Management Research
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v5i2.760

Abstract

The purpose of this study is to examine how employee performance at the Brebes Regency Regional Revenue Agency (BAPENDA) is affected by preventive discipline, the internal work environment, and intrinsic motivation. The main issues underlying this study are the decrease in employee performance scores from 2023 to 2024, as well as the high level of employee tardiness during the period from January to May 2025. The study adopted a quantitative research methodology, focusing on all 48 staff members working at BAPENDA in Brebes Regency. A census sampling approach (also known as saturated sampling) was implemented, meaning every individual from the entire group was considered a participant in the sample. Questionnaires served as the tool to gather data, which was then analyzed through multiple linear regression techniques using specialized statistical computer programs. The findings revealed a noteworthy positive influence of Preventive Discipline on how well employees performed, demonstrated by a regression coefficient of 0.347 and a significance level recorded at 0.000. The study also indicated that the Internal Work Environment had a substantial positive impact on employee performance, evidenced by a significance level of 0.000. Likewise, Intrinsic Motivation was seen to positively and significantly affect how well employees did their jobs. Taken together, the combined impact of these three aspects significantly shaped employee performance, showing a coefficient of determination (R²) of 0.950. This suggests that the model explains 95% of the changes in performance, while the other 5% is attributed to elements not explored within this research.