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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.