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GPS Signal Performance Testing Based on Material Variations Of Portable On-Demand (POD) And GPS Placement For Aerial Photography Missions Kehi, De Richi; Hartini, Dwi; Mardwianta, Benedictus; Prattiwi, Elisabeth Anna; Santoso, Djarot Wahju
Vortex Vol 6, No 1 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v6i1.3118

Abstract

In aerial photography, the use of camera systems integrated with GPS signals is crucial for determining the position and velocity of an aircraft or drone. The Portable On-Demand (POD) serves as a payload container for equipment such as cameras, and the POD material can influence GPS signal quality. This study aims to evaluate the quality of received GPS signals and to assess the effect of camera distance on GPS performance. Experimental tests were conducted using three POD material types (original, E-glass, and carbon) and two GPS systems (Emlid Reach and Pixhawk). The results indicate that the E-glass POD provides the best performance, achieving signal-to-noise ratio (SNR) values above 45 dB and a PDOP value of 1.7. Additionally, the E-glass POD detected up to 34 satellites at a camera distance of 0 cm. In contrast, the original and carbon PODs exhibited inferior performance, including occurrences of a “No Solution” status. Therefore, the E-glass POD is more reliable in maintaining GPS signal quality and positioning accuracy for aerial photography missions.
Analysis Problem of Air Bleed Maintenance Message Using Fault Tree Analysis (FTA) Method Kater, Jimi; Adiputra, Bangga Dirgantara; Mulyani, Sri; Priyahapsara, Istyawan; Rahmawati, Fajar Khanif; Prattiwi, Elisabeth Anna
Vortex Vol 6, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v6i2.3639

Abstract

The Airbus A320 has two main engines and an Auxiliary Power Unit (APU) that generate high-temperature, high-pressure bleed air used for cabin cooling, anti-icing, and pressurization. Two temperature sensors, Fire Loop A and Fire Loop B, monitor the bleed air distribution line for hot air leaks. An Air Bleed Maintenance Message signals a malfunction in these fire protection loops and requires quick maintenance to avoid system failure. Leaks, especially near the wing and fuel tank, pose significant hazards. This study uses Fault Tree Analysis (FTA) to find the root causes of this message. The main causes identified are damaged interconnecting cables, failure in the Bleed Monitoring Computer (BMC), and faults in Fire Loop A or B. The FTA diagram helps technicians trace each component's role in the failure, aiding efficient inspection and maintenance. This method aims to boost system reliability and improve flight safety.
Optimization of Turn Around Time Calculation for C05-Check Aircraft Maintenance Using Critical Path Method (CPM) On Boeing 737-900er Aircraft Islami, Alfi Daffa; Rahmawati, Fajar Khanif; Mulyani, Sri; Prakoso, Agung; Hartini, Dwi; Prattiwi, Elisabeth Anna
Vortex Vol 6, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v6i2.3644

Abstract

Boeing 737-900 ER maintenance in Indonesia emphasizes timely, efficient routines to minimize risks. Using the Critical Path Method (CPM), the analysis calculates the Turn Around Time (TAT) for C05-Check maintenance. The CPM results estimate a TAT of 20.47 days (rounded to 20 days), while the company's data shows 21.73 days (rounded to 22 days), indicating a 2-day difference. This discrepancy highlights potential areas for improving maintenance efficiency. The TAT efficiency for the maintenance process is calculated at 0.057%. Optimizing mechanic workload based on this analysis can enhance turnaround times and ensure aircraft safety and operational scheduling. Accurate TAT predictions are vital for balancing maintenance quality with airline efficiency, making CPM a valuable tool in operational planning and resource allocation. Continued comparison with company data ensures maintenance practices remain precise, reducing unexpected delays and maintaining flight safety standards.