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DESIGN OF AN IOT-BASED REMOTE MONITORING SYSTEM FOR YOGYAKARTA AIRPORT LOCALIZER WITH AUTOMATIC CHANGEOVER AND REAL-TIME NOTIFICATION FEATURES Oki Tri Rizki; Muchammad Furqon; 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 and control the Localizer equipment in normal or alarm conditions. It can also assist in changing over during ground checks, accessible via smartphone using the Blynk app. This design uses an optocoupler sensor to detect the electrical current flowing through the LEDs on the Localizer Remote Control Unit (RCU). This allows the indicator readings to be sent to the Internet of Things (IoT) using a NodeMCU Wi-Fi module that communicates serially with an Arduino. The IoT functions to display real-time conditions and control the Localizer equipment in normal or alarm conditions, accessible via smartphone using the Blynk app. The tool I will design is an Internet of Things-based remote monitoring localizer. It is hoped that this remote monitoring tool will facilitate technicians in determining the condition of the Localizer and assist in changing over during ground checks.
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 Precision Agriculture) and the Conventional Method (using 3 workers and a water pump). The variables measured are time efficiency, labor effi ciency, water efficiency, operational costs, and crop productivity 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 not statistically significantly different. The operational efficiency offered by drones makes this method superior for the sustainability and profitability of large-scale agriculture