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8. DESIGN OF AN IOT-BASED REMOTE MONITORING SYSTEM FOR YOGYAKARTA AIRPORT LOCALIZER WITH AUTOMATIC CHANGEOVER AND REAL-TIME NOTIFICATION FEATURES Muchammad Furqon; Oki Tri Rizki; Rakin Ghiyat; Kurniawan; Rayhan Kemal; 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.v5i1.188

Abstract

This research on remote monitoring design aims to determine the condition andcontrol the Localizer equipment in normal or alarm conditions. It can also assist in changingover during ground checks, accessible via smartphone using the Blynk app. This design usesan optocoupler sensor to detect the electrical current flowing through the LEDs on the LocalizerRemote Control Unit (RCU). This allows the indicator readings to be sent to the Internet ofThings (IoT) using a NodeMCU Wi-Fi module that communicates serially with an Arduino. TheIoT functions to display real-time conditions and control the Localizer equipment in normal oralarm conditions, accessible via smartphone using the Blynk app. The tool I will design is anInternet of Things-based remote monitoring localizer. It is hoped that this remote monitoringtool will facilitate technicians in determining the condition of the Localizer and assist in changingover during ground checks.
5. 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 amixed-methods sequential explanatory approach. Flight safety is highly dependent on thereliability of avionics systems, one of which is the Weather Radar System that functions todetect extreme weather phenomena. Damage to this system is categorized as a no-go itemin the MEL and based on data from the Top Delay Report of PT GMF Aero Asia Tbk for theperiod 2020–2024, it ranks fifth as the highest cause of delays on the Airbus A320-200, with341 failure reports. The quantitative stage uses Failure Mode and Effects Analysis (FMEA)and Pareto Diagrams to identify critical components, while the qualitative stage uses RootCause Analysis (RCA) and Fishbone Diagrams to explore the root causes of failure. Theresults show that the Transceiver is the most problematic component with 39% ofunscheduled removals with the dominant failure mode being Intermittent Signal with an RPNvalue of 336. RCA reveals the main causal factors including human error, non-compliancewith procedures, limited tools, low material quality, and exposure to extreme environments.Recommendations for improvement include improving technician competency, toolprocurement and calibration, stringent material vendor selection, and system protection fromextreme weather. This research is expected to support increased maintenance effectiveness,reduce delays, and strengthen the safety culture at GMF.
3. 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 ofthe APU starter motor P/N 2704506-4, as well as to identify the failure mode qualitatively toprovide improvement recommendations for PT Indonesia AirAsia. The starter motor in theauxiliary 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 historicaltime to failure data from 20 unscheduled removal cases using the Weibull distribution, andqualitative analysis through failure mode and effect analysis. Data were obtained from theAircraft Maintenance Manual, Component Maintenance Manual, and semi-structuredinterviews with engineers. The analysis results show a value of β = 2.029 (β>1) whichindicates a wear-out failure pattern. The scale parameter η recorded 3,095.71 flight hourswith 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 identifiedthree 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 throughvisual inspection of brush wear indicators and scheduled replacement at 2,500–2,600 flighthours to reduce unscheduled removals and increase aircraft availability.
4. 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 AeroAsiaTbk. The methodology used was observation, interviews, and document analysis. Modernaircraft rely heavily on reliable support systems, including pneumatic systems for regulatingcabin temperature and safety. On an Airbus A330-300, a problem with the pneumatictemperature sensor was found, with corrosion on the sensor rod resulting in inaccuratetemperature readings that could impact flight safety. This study aimed to analyze the causesof sensor failure at PT GMF AeroAsia Tbk. The methodology used was observation,interviews, and document analysis. Data were analyzed using Pareto charts and Fault TreeAnalysis to identify the root cause. The results indicated that corrosion was the primarycause, exacerbated by environmental factors, weak inspection procedures, and a lack oftechnician understanding. In conclusion, the sensor failure was caused by a combination oftechnical, procedural, and human factors. This research helps develop better aircraftmaintenance strategies to improve safety.
6. INCREASING LARGE-SCALE AGRICULTURAL EFFICIENCYWITH THE DJI AGRAS T25 DRONE: A CASE STUDY IN CILEGON Muchammad Furqon; Ahmad Ilham Kamal; Ferdy Susanto; Muchdatas; Rayhan Kemal; Salsabila
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.v5i1.197

Abstract

This study aims to compare the effectiveness of large-scale irrigation of eggplant(Solanum melongena L.) in Ciwandan, Cilegon, using the DJI Agras T25 Drone (as PrecisionAgriculture) and the Conventional Method (using 3 workers and a water pump). The variablesmeasured are time efficiency, labor effi ciency, water efficiency, operational costs, and cropproductivity during one planting season. The results show that the use of drones can save 85%of time and reduce operational labor costs per watering session, with yields that are notstatistically significantly different. The operational efficiency offered by drones makes thismethod superior for the sustainability and profitability of large-scale agriculture
7. A COMPARATIVE ANALYSIS OF SPUKTA REGULATIONS: A STUDY OF VLOS OPERATIONAL PROCEDURES IN CONTROLLED AIRSPACE BETWEEN THE FAA, EASA, AND DGCA INDONESIA Muchammad Furqon; Ahmad Ilham; Ferdy Susanto; Kamal Muchdatas; Suroso; Salsabila
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.v5i1.198

Abstract

This study aims to critically analyze and compare the SPUKTA VLOS operationalprocedure framework in the Control Area established by three major aviation authorities: theFederal Aviation Administration (FAA), the European Union Aviation Safety Agency (EASA),and the Directorate General of Civil Aviation (DGCA) Indonesia. The integration of SmallUnmanned Aircraft Systems (SPUKTA) or drones into civil airspace, particularly in the ControlArea (CTR), requires strict and uniform operational procedures. The most common Visual Lineof Sight (VLOS) operations pose a high risk in controlled airspace if not properly regulated.Using a descriptive qualitative method with comparative content analysis of primary regulatorydocuments (FAA Part 107, EASA Reg. (EU) 2019/947, pm 37 of 2020 and PM 63 of2021/CASR Part 107 Indonesia), the comparison focuses on five key procedural variables:Operational Clearance Mechanism, Operational Altitude Limit, Pilot CommunicationRequirements, Time Window Provisions, and Pre-flight Procedures. The results show thatwhile the FAA and EASA offer mature systems (automated LAANC vs. risk-based Geozone),the Indonesian DGCA relies on manual permitting processes and local authority discretion.This disparity indicates a gap in regional automation and standardization. This studyrecommends that the Indonesian DGCA consider implementing a real-time authorizationsystem and digital Geozone to improve compliance and efficiency of VLOS SPUKTAoperations in the Control Area.