PENGEMBANGAN AUGMENTED REALITY PADA SIMULASI TROUBLESHOOTING RADAR MSSR MERK INDRA IRS20MP/S

Di era Revolusi Industri 4.0, pemeliharaan sistem navigasi udara menuntut inovasi berbasis teknologi. Radar MSSR memiliki peran penting dalam pengamatan lalu lintas udara, namun pelaksanaan corrective maintenance masih menghadapi
kendala seperti prosedur kompleks, beban kognitif teknisi tinggi, dan keterbatasan akses manual. Penelitian ini bertujuan mengembangkan aplikasi Augmented Reality
(AR) berbasis smartphone sebagai panduan interaktif untuk proses troubleshooting alarm ACP dan ARP pada radar INDRA IRS-20MP/S. Metode pengembangan menggunakan model ADDIE (Analysis, Design, Development, Implementation,
Evaluation). Hasil validasi kuantitatif menunjukkan tingkat kelayakan 100% dari ahli media dan ahli materi. Pengujian usability memperoleh nilai 81,5% dan tergolong "sangat layak." Pengujian perbandingan juga menunjukkan bahwa
troubleshooting dengan AR dilakukan lebih cepat dibandingkan dengan manual book. Sementara itu, pengujian marker menunjukkan performa deteksi yang stabil dalam berbagai kondisi pencahayaan dan jarak, menjamin keandalan penggunaan
di lapangan.
Kata Kunci : Radar, Augmented Reality,Troubleshooting ,Corrective Maintenance

In the era of Industry 4.0, the maintenance of air navigation systems demands technology-based innovation. MSSR radar plays a critical role in air traffic surveillance; however, the implementation of corrective maintenance still faces challenges such as complex procedures, high technician cognitive load, and limited access to technical manuals. This study aims to develop a smartphone-based Augmented Reality (AR) application as an interactive guide for troubleshooting ACP and ARP alarms on the INDRA IRS-20MP/S radar. The development method follows the ADDIE model (Analysis, Design, Development, Implementation,
Evaluation). Quantitative validation results show a feasibility rating of 100% from both media and material experts. Usability testing achieved a score of 81.5%,
categorized as “very feasible.” Comparative testing also demonstrated that troubleshooting using AR was faster than using conventional manual books. Additionally, marker detection tests indicated stable performance under various
lighting and distance conditions, ensuring the application's reliability in operational environments.
Keywords: Radar, Augmented Reality, Troubleshooting, Corrective Maintenance