PILOT TRUST ANALYSIS ON AUTOLAND SYSTEMS IN BOEING 737 CLASSIC AIRCRAFT: A CASE STUDY AT SULTAN HASANUDDIN INTERNATIONAL AIRPORT MAKASSAR

Abstrak

This study aims to analyze the level of pilot confidence in the Autoland system when operating at Sultan Hasanuddin International Airport. The development of flight automation technology is designed to enhance aviation safety and reduce pilot workload, particularly during the critical landing phase. The Boeing 737 Classic (B737 CL) aircraft is equipped with an Autoland system (Autopilot Flight Director System) that enables automatic landings under low-visibility conditions. This study aims to analyze the level of pilot trust toward the Autoland system when operating at Sultan Hasanuddin International Airport (UPG/WAAA), Makassar, which is renowned for its dynamic weather characteristics and strong crosswinds. This study employs a descriptive quantitative method by distributing questionnaires to 50 active B737 CL pilot respondents. Based on the data analysis using Human Factors principles, the pilot trust level falls into the "High" category with an aggregate mean score of 4.12 out of 5.00. However, this trust is highly conditional and significantly influenced by situational awareness and the crosswind operational limitations of the B737 CL. Pilots consistently maintain high vigilance (avoiding complacency) because the B737 CL system represents legacy technology requiring more stringent monitoring compared to modern Fly-by-Wire aircraft.