Analysis of Fatigue Management Implementation on ATC Performance at ACC Unit of AirNav Indonesia JATSC

Artias Widianingrum; Lina Rosmayanti; Yudha Abimanyu

doi:10.55227/ijhess.v5i4.2184

Authors

Artias Widianingrum Air Traffic Management Study Program / Applied Bachelor’s Degree, Indonesian Aviation Polytechnic of Curug
Lina Rosmayanti Air Traffic Management Study Program / Applied Bachelor’s Degree, Indonesian Aviation Polytechnic of Curug
Yudha Abimanyu Air Traffic Management Study Program / Applied Bachelor’s Degree, Indonesian Aviation Polytechnic of Curug

DOI:

https://doi.org/10.55227/ijhess.v5i4.2184

Abstract

Air Traffic Controllers (ATCs) play a critical role in ensuring flight safety but are highly vulnerable to fatigue due to intensive workload demands. This study aims to analyze the implementation of the Fatigue Management System (FMS), identify contributing factors of fatigue, and evaluate the relationship between FMS, fatigue levels, and ATC performance at the Area Control Center (ACC) of AirNav Indonesia, Jakarta Air Traffic Service Centre (JATSC). A descriptive quantitative design with a cross-sectional approach was employed, involving 115 ATC respondents. Data were collected using a validated questionnaire and analyzed through descriptive statistics and Pearson correlation. The results revealed that FMS implementation was in the “Good” category (mean score 3.62), with strong aspects in rest facilities and shift scheduling but weaknesses in reporting and monitoring systems. Organizational factors showed the strongest negative correlation with fatigue (r = -0.451, p < 0.001). FMS was negatively correlated with fatigue (r = -0.407, p < 0.001) and positively correlated with performance (r = 0.306, p < 0.001). The findings confirm that effective fatigue management supports high ATC performance and operational safety, highlighting the need for improvements in fatigue reporting, psychological support, and staffing adequacy.

References

Avers, K., & Johnson, W. (2011). Fatigue management for air traffic controllers: Principles and practice. Human Factors, 53(4), 312–324.

Babbie, E. (2020). The practice of social research (15th ed.). Cengage Learning.

Brookhuis, K. A., et al. (2003). Fatigue in air traffic control: Cognitive effects and countermeasures. Ergonomics, 46(1–3), 109–120.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage Publications.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Gander, P., Hartley, L., & Powell, D. (2011). Fatigue risk management in aviation. Transportation Research Part F, 14(3), 213–226.

Hendiyanto, R., & Isnawijayani, D. (2024). Analysis of workload and fatigue risk among ATCs in Jakarta FIR operations. Indonesian Journal of Aviation Studies, 12(1), 44–57.

International Civil Aviation Organization (ICAO). (2016). Fatigue management for air traffic services providers (Doc 9966). Montreal: ICAO.

International Civil Aviation Organization (ICAO). (2018). Annex 1 – Personnel licensing. Montreal: ICAO.

International Civil Aviation Organization (ICAO). (2020). Annex 11 – Air traffic services: Amendment 2020. Montreal: ICAO.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

Schroeder, D. J., et al. (2011). ATC performance and fatigue: The role of experience. Human Factors, 53(5), 483–496.

Susanto, A., & Keke, L. (2019). Implementation challenges of fatigue management policies in Indonesia’s aviation sector. Journal of Air Transportation and Safety, 6(2), 115–127.

Thomas, M., et al. (2018). Predicting fatigue in air traffic control: Models and implications. Aerospace Medicine and Human Performance, 89(5), 421–431.