Human factor training as a learning intervention for Technical Personnel performance

Journal of Educational and Learning Studies March 30, 2026 Volume 9, Number 1 4 authors

Abstract

This study aimed to analyze the partial and simultaneous effects of Human Factor Training, Engineer Competence, and Work Motivation on Aircraft Engineer Performance in the Line Maintenance Unit of Garuda Maintenance Facility AeroAsia. A quantitative descriptive-correlational design was employed. The population consisted of 103 aircraft engineers across three maintenance stations (KNO, CGK, and SUB). Following instrument validation with 30 engineers, 73 engineers were selected as the main sample using cluster random sampling. Data were collected through a five-point Likert-scale questionnaire and analyzed using multiple linear regression in SPSS 25. Human Factor Training significantly influenced engineer performance (t = 6.642; p < 0.001), as did Engineer Competence (t = 2.192; p = 0.032). In contrast, Work Motivation showed no significant effect (t = 1.763; p = 0.082). Simultaneously, the three variables significantly affected engineer performance (F = 288.248; p < 0.001). Human Factor Training emerged as the strongest predictor of engineer performance, followed by Engineer Competence. Although Work Motivation was positively related to performance, its contribution was not statistically significant, suggesting that performance in aircraft maintenance is more strongly influenced by technical competence, safety training, and compliance with aviation regulations and standard operating procedures.

Authors

  1. Rahmat Rahmat

    Universitas Negeri Padang

  2. Bambang Heriyadi

    Universitas Negeri Padang

  3. M. Giatman

    Universitas Negeri Padang

  4. Syahril Syahril

    Universitas Negeri Padang

Keywords

Human Factor TrainingEngineer CompetenceWork MotivationEngineer PerformanceLine Maintenance

References

  1. Abbas, R., Simon, A., Dunbar, D., Serrano, R., Creegan, A., & Prochaska, E. (2023). Automatic Driller Optimization Application Using Machine Learning and Artificial Intelligence Drives Consistent Performance in an Operator’s West Texas Drilling Program. SPE Annual Technical Conference Proceedings. https://doi.org/10.2118/215087-MS
  2. Adi, E. N., Eliyana, A., & Tri Mardiana, A. (2020). Safety Leadership and Safety Behavior in MRO Business: Moderating Role of Safety Climate in Garuda Maintenance Facility Indonesia. Systematic Reviews in Pharmacy, 11(4).
  3. Anderson, M., Lehmkuehler, K., Randle, J., Wong, K. C., & Chung, S.-J. (2023). UAS Flight Testing in Support of Research for Academia: Lessons and Experiences from the Field. AIAA SciTech Forum and Exposition, 2023. https://doi.org/10.2514/6.2023-0100
  4. Corrigan, S. L., Roberts, S. S. H., Warmington, S. A., Drain, J. R., Tait, J. L., Bulmer, S., & Main, L. C. (2023). Overnight heart rate variability responses to military combat engineer training. Applied Ergonomics, 107. https://doi.org/10.1016/j.apergo.2022.103935
  5. Deng, C., Bai, Y., & Ren, H. (2025). ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation. Proceedings - Design Automation Conference. https://doi.org/10.1109/DAC63849.2025.11132537
  6. Filinger, W., Hong, N. C., Crouch, S., Robinson, M., Cohen, J., & Henty, D. (2025). Enabling New Pathways for Research Software Engineers: Three Years of the UNIVERSE-HPC Project. PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. https://doi.org/10.1145/3708035.3736008
  7. Giacumo, L. A., Villachica, S. W., & Stepich, D. A. (2024). INSTRUCTIONAL DESIGN FOR ORGANIZATIONAL JUSTICE: A Guide to Equitable Learning, Training, and Performance in Professional Education and Workforce Settings. In Instructional Design for Organizational Justice: A Guide to Equitable Learning, Training, and Performance in Professional Education and Workforce Settings. https://doi.org/10.4324/9781003360612
  8. Gozali, L., Tunjungsari, H. K., Zagloel, T. Y. M., Saraswati, D., Masrom, H., Harun, N., & Sutopo, W. (2021). A dynamic business modelling approach to design and experiment new successful business incubator model for Indonesia. 11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021, 4211–4219.
  9. Ibrahim, I., & Abiddin, N. Z. (2024). The Critical Role of Soft Skills in Engineering: Enhancing Performance and Career Advancement. Journal of Ecohumanism, 3(7), 691–703. https://doi.org/10.62754/joe.v3i7.4236
  10. Johnson, K. (2021). LHUFT Bibliography January 2021.
  11. Jozic, M. (2023). Aviation Engineering: Navigating Through the Golden Years! SAE International.
  12. Katebi, A., Keshtkar-Ghalati, A., Katebi, B., Ardestani, Z. A., & Bordbar, A. (2025). The Moderating Effect of Education Level and Income on Job Performance of Supervising Engineers. Buildings, 15(3). https://doi.org/10.3390/buildings15030397
  13. Lelmalaya, B. K., & Moeins, A. (2024). How to Increase Job Satisfaction Through Employee Career Development at PT GMF Aero Asia Tbk. Dinasti International Journal of Education Management & Social Science, 6(2).
  14. Lockman, J. A., & Dinu, C. Z. (2025). A Strengths-Based Approach in Undergraduate Biomedical Engineering Curricula Leads to Engineering Identify Awareness and Facilitates Team Integration. Advances in Engineering Education, 13(2), 51–70. https://doi.org/10.18260/3-1-1153-36078
  15. Mahendra, I. G. T., Kepramareni, P., Sapta, I. K. S., Sujana, I. W., & Haguisan III, I. (2022). Effect of work motivation and training on employee performance with competence as intervening variable at PT. Indonesia Airasia Hub International Airport I Gusti Ngurah Rai Bali. International Journal of Sustainability, Education, and Global Creative Economic (IJSEGCE), 5(2), 88–106.
  16. Moeins, A., & Zain, Y. (2024). A Mediation Model of Intrinsic Work Motivation and Job Satisfaction To Develop Aircraft Technician Performance. Dinasti International Journal of Economics, Finance & Accounting (DIJEFA), 5(3).
  17. Nese, H., Mann, K. J., Sæten, S., & Mosser, L. J. (2025). Production Time Series Monitoring Using Vision-Language Models. Society of Petroleum Engineers - SPE Europe Energy Conference and Exhibition, EURO 2025. https://doi.org/10.2118/225545-MS
  18. Ney, J., Lauinger, V., Schmalen, L., & Wehn, N. (2023). Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation. 2023 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2023, 60–65. https://doi.org/10.1109/EuCNC/6GSummit58263.2023.10188269
  19. Pérez-Sarmiento, M. M., Romo-Vázquez, A., & Sabra, H. (2025). Understanding PID Control Implementation in Practice: An Approach to Align Academic Mathematics with Workplace Demands. IFAC-PapersOnLine, 59(7), 147–152. https://doi.org/10.1016/j.ifacol.2025.08.038
  20. PRABOWO, F. (2023). PROPOSED CORPORATE STRATEGY AND ITS IMPLICATION FOR PT GARUDA INDONESIA.
  21. Putranto, P. S., & Soetomo, M. A. A. (2017). Correlation between Technology Usage Behavior and Employee Affectivity: A Literature Review, Case Study. ACMIT Proceedings, 4(1), 92–103.
  22. Putri, A. A., Andriani, D., & Kusuma, K. A. (2025). The Influence of Competence, Work Discipline, and Teamwork on the Performance of Employees of PT Lion Mentari Airlines at I Gusti Ngurah Rai International Airport. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 8(3), 7597–7614.
  23. Ramadhan, J., Wibowo, H., & Gunawan, W. (2017). Rahasia Pelatihan Dan Pengembangan Tingkat Menengah Manajemen. Bandung: Unpad Press.
  24. Sinulingga, W. A., Wandebori, H., & Prawiraatmadja, W. (2026). Strategic positioning of navigation and communication technologies in Indonesia’s defence UAV ecosystem. Journal of Applied Business Administration, 10(1), 102–126.
  25. Soeiro, A., Barrett, M., Sunderland, K., Pego, J., & Freitas, A. (2024). E4E - Engineers for Europe: a study about the future of Engineering profession. SEFI 2024 - 52nd Annual Conference of the European Society for Engineering, Proceedings: Educating Responsible Engineers, 2221–2230. https://doi.org/10.5281/zenodo.14256703
  26. Sterling, T., Anderson, M., & Brodowicz, M. (2024). High Performance Computing: Modern Systems and Practices. In High Performance Computing: Modern Systems and Practices. https://doi.org/10.1016/C2019-0-04374-9
  27. Supriyadi, A., Dudija, N., & Indiyati, D. (2025). Aviation workforce optimization: Examining the interdependence of operational discipline, job satisfaction, and professional competence. Jurnal Ilmiah Manajemen Kesatuan, 13(5), 3663–3674.
  28. Thomas, S., Rouxel, D., Kalarikkal, N., Kottathodi, B., & Maria, H. J. (2024). Advanced Materials for Battery Separators. In Advanced Materials for Battery Separators. https://doi.org/10.1016/C2018-0-00156-5
  29. Tran, T. T. B. (2025). The Development of MRO Shared Services in Vietnam: A Comparative Analysis with Southeast Asian Countries. International Journal of Aviation Science and Technology, 6(02), 79–90.
  30. Wahbi, Y. A. I. (2015). Impact of Human Competencies on Aviation MaintenanceEmployees Performance.(A Case Study at JALCo). Master Thesis, The Middel East University.
  31. Wicaksono, R. D., Asmony, T., & Nurmayanti, S. (2026). The Effect of Empowering Leadership and Corporate Culture on Change-Oriented Organizational Citizenship Behaviour Moderated by Self-Efficacy on Leadership Elements at PT Garuda Maintenance Facility Aeroasia Tbk, Line Maintenance Division. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 9(1), 8146–8163.
  32. Williams, D., Craun, M., Le, M. V, Stephen, J., Ahmed, S., & Jamjoom, H. (2025). Towards Safe Agentic AI Performance Engineering. PACMI 2025 - Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems, 63–68. https://doi.org/10.1145/3766882.3767179
  33. Yoo, S., Ramalhinho, J., Dowrick, T., Somasundaram, M., Gurusamy, K., Davidson, B., Clarkson, M. J., & Blandford, A. (2024). Can engineers represent surgeons in usability studies? Comparison of results from evaluating augmented reality guidance for laparoscopic surgery. Computers and Graphics (Pergamon), 119. https://doi.org/10.1016/j.cag.2024.01.008
  34. Zejli, A., Lin, A., Calva, B., Noh, M., Miller, P., Ranjith, R., Rai, V., Palanisamy, P., Lin, Y., & Partington, B. (2025). Physics-Informed Agentic AI: An Intelligent Assistant for Production Management and Optimization. Society of Petroleum Engineers - SPE Permian Basin Energy Conference, PBEC 2025. https://doi.org/10.2118/230253-MS