PENGARUH PESAN ATS INTER-FACILITY DATALINK COMMUNICATION TERHADAP BEBAN KERJA AIR TRAFFIC CONTROLLER DI ACC UPPER SURABAYA MATSC

Studi ini dilakukan untuk menganalisis pengaruh pesan ATS Inter-facility Data
Communication (AIDC) dalam upaya menurunkan beban kerja Air Traffic
Controller (ATC) pada Unit ACC Upper Surabaya Airnav Cabang MATSC. AIDC
berperan sebagai sarana pertukaran informasi penerbangan antar sistem ATC yang
berbeda guna mendukung kelancaran koordinasi. Namun, kegagalan pengiriman
pesan AIDC di ACC Upper Surabaya masih terjadi, sehingga koordinasi harus
dialihkan ke metode manual (voice coordination) yang berpotensi meningkatkan
beban kerja ATC. Penelitian ini menggunakan metode kuantitatif dengan teknik
pengumpulan data berupa kuesioner skala Likert. Data dianalisis melalui uji
validitas, uji reliabilitas, uji normalitas, uji linearitas, uji hipotesis (uji t), uji
determinasi, dan uji regresi linear sederhana dengan bantuan SPSS versi 25.0.
Selanjutnya, data dianalisis menggunakan metode statistik seperti korelasi
Pearson Product Moment dan regresi linier. Hasil penelitian menunjukkan
variabel Pesan AIDC Tidak Terkirim (X) memiliki nilai rata-rata 55,07 dan
variabel Beban Kerja ATC (Y) sebesar 60,23. Persamaan regresi yang diperoleh
adalah Y = 10,819 + 0,897X, dengan koefisien determinasi (R²) sebesar 0,681,
yang menunjukkan bahwa Pesan AIDC Tidak Terkirim berkontribusi sebesar
68,1% terhadap variasi Beban Kerja ATC, sedangkan 31,9% sisanya dipengaruhi
faktor lain di luar penelitian ini. Dengan demikian, dapat disimpulkan bahwa pesan
AIDC yang tidak terkirim berpengaruh positif dan signifikan terhadap beban kerja
ATC di ACC Upper Surabaya MATSC.

This study was conducted to analyze the effect of ATS Inter-facility Data
Communication (AIDC) messages in an effort to reduce the workload of Air Traffic
Controllers (ATC) at the ACC Upper Surabaya Unit, Airnav MATSC Branch. AIDC
serves as a means of exchanging flight information between different ATC systems
to support smooth coordination. However, failures in AIDC message transmission
at ACC Upper Surabaya still occur, requiring coordination to be shifted to manual
methods (voice coordination), which potentially increases the ATC workload. This
study employed a quantitative method with a Likert-scale questionnaire as the data
collection technique. The data were analyzed through validity tests, reliability tests,
normality tests, linearity tests, hypothesis testing (t-test), determination tests, and
simple linear regression analysis using SPSS version 25.0. Furthermore, the data
were analyzed using statistical methods such as Pearson Product Moment
correlation and linear regression. The results showed that the Undelivered AIDC
Message variable (X) had a mean value of 55.07, while the ATC Workload variable
(Y) had a mean value of 60.23. The regression equation obtained was Y = 10.819
+ 0.897X, with a coefficient of determination (R²) of 0.681, indicating that
Undelivered AIDC Messages contributed 68.1% to the variation in ATC Workload,
while the remaining 31.9% was influenced by other factors outside this study. Thus,
it can be concluded that undelivered AIDC messages have a positive and significant
effect on ATC workload at ACC Upper Surabaya MATSC.