RANCANG BANGUN KONTROL DAN MONITORING FLOODLIGHT APRON BERBASIS MIKROKONTROLER

Sistem penerangan apron memiliki peran penting dalam menunjang keselamatan dan kelancaran operasional penerbangan, sehingga diperlukan kontrol dan monitoring yang andal. Penelitian ini merancang prototipe sistem kontrol dan monitoring floodlight apron berbasis mikrokontroler dengan dukungan teknologi Internet of Things (IoT). Rangkaian sistem terdiri atas ESP32 sebagai pusat kontrol dan koneksi IoT, Arduino Mega 2560 sebagai pengendali relay serta pembaca arus menggunakan sensor ACS712, dan modul HC-12 sebagai media komunikasi nirkabel jarak jauh. Data hasil pembacaan sensor ditampilkan secara real-time pada Human Machine Interface (HMI) berbasis Node-RED. Hasil pengujian menunjukkan sistem dapat menyalakan dan memadamkan lampu floodlight melalui tombol manual maupun perintah jarak jauh, serta memantau arus dengan akurasi yang baik dan komunikasi nirkabel yang stabil. Prototipe ini mampu meningkatkan efisiensi operasional serta mempercepat deteksi gangguan pada sistem penerangan apron.
Kata kunci: Floodlight apron, Mikrokontroler, IoT, Monitoring

The apron lighting system plays a crucial role in ensuring the safety and smooth operation of aircraft, therefore reliable control and monitoring are required. This study designed a prototype of an apron floodlight control and monitoring system based on a microcontroller with the support of Internet of Things (IoT) technology. The system consists of an ESP32 as the central controller and IoT connection, an Arduino Mega 2560 to operate the relay and measure current using the ACS712 sensor, and an HC-12 module as a long-range wireless communication medium. Sensor data is displayed in real-time on a Human Machine Interface (HMI) developed using Node-RED. The test results show that the system can switch the floodlights on and off either through manual buttons or remote commands, while also monitoring the current with good accuracy and stable wireless communication. This prototype improves operational efficiency and accelerates fault detection in apron lighting systems. Keywords: Floodlight apron, Microcontroller, IoT, Monitoring