Analysis of Airspace Sectorization Effectiveness in the East Sector of Jakarta FIR Area Control Centre

Rizky Dwi Utami; Rahmawati Sukra; Martha Saulina

doi:10.55227/ijhess.v5i4.2196

Authors

Rizky Dwi Utami Air Traffic Control Study Programme/ Applied Undergraduate Programme Indonesian Aviation Polytechnic of Curug
Rahmawati Sukra Air Traffic Control Study Programme/ Applied Undergraduate Programme Indonesian Aviation Polytechnic of Curug
Martha Saulina Air Traffic Control Study Programme/ Applied Undergraduate Programme Indonesian Aviation Polytechnic of Curug

DOI:

https://doi.org/10.55227/ijhess.v5i4.2196

Abstract

This study analyzes the effectiveness of airspace sector division at the Area Control Centre (ACC) Sector East, Jakarta Flight Information Region (FIR), in supporting the operational efficiency of Air Traffic Controllers (ATCs). The research aims to evaluate the current airspace sectorization in terms of operational, technical, and human resource aspects to determine whether the existing configuration meets the growing traffic demand. Using a quantitative descriptive and evaluative approach, the study focuses on two main variables: ATC workload and inter-sector coordination. Data were collected from 58 ATC personnel at the Jakarta Air Traffic Service Centre (JATSC) through a Likert-scale questionnaire. The data were analyzed using statistical methods including Pearson correlation and multiple linear regression. The results reveal that both workload and inter-sector coordination significantly affect the effectiveness of sector division, with workload having a stronger influence. The findings indicate that unbalanced workload distribution and limited coordination efficiency reduce overall sector performance. The study concludes that an adaptive and dynamic sectorization model is needed to ensure balanced workload, enhanced communication, and improved operational safety at ACC-East Jakarta

References

AirNav Indonesia. (2022). Annual Air Traffic Report: Jakarta Flight Information Region. AirNav Indonesia.

Endsley, M. R., & Jones, D. G. (2025). Designing for Situation Awareness. CRC Press.

Eurocontrol. (2020). Guidelines for Airspace Sectorisation. https://doi.org/10.2899/euro.2020.airspace

Eurocontrol. (2023). Sector coordination procedures in European airspace. Eurocontrol.

FAA. (2020). Human Factors in Air Traffic Management. Federal Aviation Administration.

Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications.

Ghozali, I. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25. Universitas Diponegoro Press.

ICAO. (2021). Manual on Airspace Planning Methodology for the Determination of Separation Minima. ICAO Doc 4444.

McGee, C., Wickens, C. D., & Kramer, A. F. (1997). Workload and situational awareness in air traffic control. Human Factors, 39(1), 1–14.

Müller, T., Kruse, F., & Dittmann, A. (2019). Controller Workload and Sector Complexity. Aviation Psychology Review, 35(1), 43–59.

Rahman, M., Siregar, B., & Fauzi, R. (2021). Optimal Sector Splitting in High-Density FIR. ASEAN Journal of Aviation Research, 9(3), 141–155.

SOP ACC. (2025). Standard Operational Procedure of Jakarta Area Control Centre. AirNav Indonesia.

Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.

Zhang, Y., & Wang, L. (2023). Multi-Criteria Assessment of Airspace Configuration. Journal of Aerospace Systems, 11(4), 201–220. https://doi.org/10.1016/j.jaerosys.2023.04.006