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All Journal Jurnal TNI Angkatan Udara
Muchammad Furqon
National Air and Space Power Center Of Indonesia
Aerospace Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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WEATHER RADAR SYSTEM FAILURE ANALYSIS ON AN AIRBUS 320-200 AIRCRAFT AT PT GMF AEROASIA USING FMEA AND RCA TO IMPROVE RELIABILITY AND SAFETY Alfina Rahmawati; Bhima Shakti Arrafat; Muhamad Faridh Al Farisy; Muchammad Furqon; Muqdhatas; Tia Tsania
Jurnal TNI Angkatan Udara Vol 5 No 1 (2026): Jurnal TNI Angkatan Udara Triwulan Pertama
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/jpb.v5i1.189

Abstract

This study aims to analyze the failure of the Weather Radar System using a mixed-methods sequential explanatory approach. Flight safety is highly dependent on the reliability of avionics systems, one of which is the Weather Radar System that functions to detect extreme weather phenomena. Damage to this system is categorized as a no-go item in the MEL and based on data from the Top Delay Report of PT GMF Aero Asia Tbk for the period 2020–2024, it ranks fifth as the highest cause of delays on the Airbus A320-200, with 341 failure reports. The quantitative stage uses Failure Mode and Effects Analysis (FMEA) and Pareto Diagrams to identify critical components, while the qualitative stage uses Root Cause Analysis (RCA) and Fishbone Diagrams to explore the root causes of failure. The results show that the Transceiver is the most problematic component with 39% of unscheduled removals with the dominant failure mode being Intermittent Signal with an RPN value of 336. RCA reveals the main causal factors including human error, non-compliance with procedures, limited tools, low material quality, and exposure to extreme environments. Recommendations for improvement include improving technician competency, tool procurement and calibration, stringent material vendor selection, and system protection from extreme weather. This research is expected to support increased maintenance effectiveness, reduce delays, and strengthen the safety culture at GMF.
APU STARTER MOTOR RELIABILITY ANALYSIS P/N 2704506 – 4 AIRBUS A320S USING WEIBULL DISTRIBUTION AND FAILURE MODE AND EFFECT ANALYSIS AT PT INDONESIA AIRASIA Yogi Prisma; Caesar Pradewa; Feti Fatonah; Djoko Herwanto; Desiana Putri; Muchammad Furqon; Suroso; Dikasitama
Jurnal TNI Angkatan Udara Vol 5 No 1 (2026): Jurnal TNI Angkatan Udara Triwulan Pertama
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/jpb.v5i1.190

Abstract

This study aims to determine the reliability value and failure characteristics of the APU starter motor P/N 2704506-4, as well as to identify the failure mode qualitatively to provide improvement recommendations for PT Indonesia AirAsia. The starter motor in the auxiliary power unit (APU) is a vital component that functions to start the operating cycle. The method used is a mixed method, with quantitative analysis through processing historical time to failure data from 20 unscheduled removal cases using the Weibull distribution, and qualitative analysis through failure mode and effect analysis. Data were obtained from the Aircraft Maintenance Manual, Component Maintenance Manual, and semi-structured interviews with engineers. The analysis results show a value of β = 2.029 (β>1) which indicates a wear-out failure pattern. The scale parameter η recorded 3,095.71 flight hours with a mean time to failure of 2,742.85 hours. Reliability projections show that at 2,800 hours, reliability drops to 44.23% with a failure probability of 55.77%. The FMEA analysis identified three failure modes: brush wear, terminal winding burn, and oil contamination. Of these, brush wear was the dominant failure mode, with 12 cases and the highest RPN value (252). The study concluded that starter motor failure is predictive and dominated by brush wear. The primary recommendation is to transition to a preventive maintenance strategy through visual inspection of brush wear indicators and scheduled replacement at 2,500–2,600 flight hours to reduce unscheduled removals and increase aircraft availability.
PNEUMATIC TEMPERATURE SENSOR FAILURE ANALYSIS P/N 767C0000-01 ON AN AIRBUS 330-300 AIRCRAFT AT PT GMF AEROASIA Muhammad Ghani; Al Hafidz; Ego Widoro; Benny Kurniantoi; Muchammad Furqon; Kurniawan; Tia Dikatama
Jurnal TNI Angkatan Udara Vol 5 No 1 (2026): Jurnal TNI Angkatan Udara Triwulan Pertama
Publisher : Staf Komunikasi dan Elektronika, TNI Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62828/jpb.v5i1.193

Abstract

This study aims to analyze the causes of sensor failure at PT GMF AeroAsia Tbk. The methodology used was observation, interviews, and document analysis. Modern aircraft rely heavily on reliable support systems, including pneumatic systems for regulating cabin temperature and safety. On an Airbus A330-300, a problem with the pneumatic temperature sensor was found, with corrosion on the sensor rod resulting in inaccurate temperature readings that could impact flight safety. This study aimed to analyze the causes of sensor failure at PT GMF AeroAsia Tbk. The methodology used was observation, interviews, and document analysis. Data were analyzed using Pareto charts and Fault Tree Analysis to identify the root cause. The results indicated that corrosion was the primary cause, exacerbated by environmental factors, weak inspection procedures, and a lack of technician understanding. In conclusion, the sensor failure was caused by a combination of technical, procedural, and human factors. This research helps develop better aircraft maintenance strategies to improve safety.
Co-Authors Al Hafidz Alfina Rahmawati Benny Kurniantoi Bhima Shakti Arrafat Caesar Pradewa Desiana Putri Dikasitama Djoko Herwanto Ego Widoro Feti Fatonah Kurniawan Muhamad Faridh Al Farisy Muhammad Ghani Muqdhatas Suroso Tia Dikatama Tia Tsania Yogi Prisma