The Effect of Employee Training and Development on Employee Performance at PT FUMIRA
Downloads
This research aims to determine how much impact employee training and development programs have on performance at PT Fumira. The method used in this research is associative quantitative, involving all PT Fumira employees as research subjects. Data is collected through surveys covering the entire population. In this research, data analysis was caried out using statistical techniques such as linear regression and t-tests, which were processed using IBM SPSS version 29.0 software. The research results show that the training program significantly improves employee performance, with a calculated t-value of 5.120 and a regression coefficient of 15.820. This means that whenever training is improved, employee performance also increases. Likewise, employee development shows a significant influence, with a calculated t-value of 4.773 and a regression coefficient of 32.603, indicating that the development program improves employee performance effectively. Furthermore, multiple regression analysis combining training and development shows that they together explain 79.8% of the variation in employee performance, with a calculated F value of 39.797 which is highly significant at a significance level of less than 0.001. The results of this research provide practical insight for PT Fumira to design and implement more effective training and development programs. These findings can also be a reference for other companies in the same industry who want to improve their employee performance through systematic and data-based training and development programs.
Copyright (c) 2026 Badrun Badrun
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
