PERANCANGAN PROTOTYE SISTEM MONITORING BERBASIS IOT (INTERNET OF THINGS) PADA MOTOR FLAP PESAWAT DENGAN PID (PROPORTIONAL, INTEGRAL & DERIVATIVE) CONTROL

RASYID, ALDI PRAMANA PUTRA (2024) PERANCANGAN PROTOTYE SISTEM MONITORING BERBASIS IOT (INTERNET OF THINGS) PADA MOTOR FLAP PESAWAT DENGAN PID (PROPORTIONAL, INTEGRAL & DERIVATIVE) CONTROL. S1 thesis, Universitas Mercu Buana Jakarta.

[img]
Preview
 Text (HAL COVER)
1. Hal Cover.pdf
Download (503kB) | Preview
[img]
Preview
 Text (ABSTRAK)
2. Abstrak.pdf
Download (32kB) | Preview
[img] Text (BAB I)
3. BAB I.pdf
Restricted to Registered users only
Download (46kB)
[img] Text (BAB II)
4. BAB II.pdf
Restricted to Registered users only
Download (445kB)
[img] Text (BAB III)
5. BAB III.pdf
Restricted to Registered users only
Download (198kB)
[img] Text (BAB IV)
6. BAB IV.pdf
Restricted to Registered users only
Download (619kB)
[img] Text (BAB V)
7. BAB V.pdf
Restricted to Registered users only
Download (31kB)
[img] Text (DAFTAR PUSTAKA)
8. Daftar Pustaka.pdf
Restricted to Registered users only
Download (31kB)
[img] Text (LAMPIRAN)
9. Lampiran.pdf
Restricted to Registered users only
Download (391kB)

Abstract

Aircraft maintenance is crucial to ensure safety and operational efficiency. With the advancement of technology and the trend towards More Electric Aircraft (MEA), the need for effective maintenance systems has increased. One critical component is the flap motor, which adjusts the flap position during take-off and landing. Malfunctions in the flap motor can lead to high costs and unplanned downtime. Therefore, a monitoring system capable of early damage detection is essential. This study developed an Internet of Things (IoT)-based monitoring system for aircraft flap motors using the PID method. The system collects real-time data such as current, voltage, and flap angle using sensors, which is then sent to the Blynk cloud platform for analysis. The data is analyzed to detect anomalies indicating potential damage to the flap motor. When an anomaly is detected, the system sends an alert to the control room, allowing technicians to take preventive actions. This system enhances safety, reliability, and reduces maintenance costs and downtime. Testing results show that the monitoring system can detect anomalies in the flap motor with high accuracy. The PID algorithm is effective in maintaining the stability of the flap motor operation. The system demonstrated a training data accuracy of 94.57% and a validation data accuracy of 83.7%, with a rise time of 0.9077 seconds and a stabilization time of 12.6016 seconds. Additionally, the system successfully provided early warnings that enabled predictive maintenance. Overall, the implementation of this IoT system improves the efficiency and reliability of aircraft operations and reduces the risk of mechanical failures. Keywords: Monitoring System, PID, Internet of Things Pemeliharaan pesawat terbang sangat penting untuk memastikan keselamatan dan efisiensi operasional. Dengan perkembangan teknologi dan tren menuju More Electric Aircraft (MEA), kebutuhan akan sistem pemeliharaan yang efektif semakin meningkat. Salah satu komponen penting adalah flap motor, yang berfungsi mengatur posisi flap saat lepas landas dan mendarat. Kerusakan pada flap motor dapat menyebabkan biaya tinggi dan waktu henti yang tidak terencana. Oleh karena itu, diperlukan sistem pemantauan yang dapat mendeteksi potensi kerusakan sejak dini. Penelitian ini mengembangkan sistem monitoring berbasis Internet of Things (IoT) pada flap motor pesawat menggunakan metode PID. Sistem ini mengumpulkan data real-time seperti arus, tegangan, dan sudut flap menggunakan sensor, yang dikirimkan ke platform cloud Blynk untuk dianalisis. Data dianalisis untuk mendeteksi anomali yang menunjukkan potensi kerusakan pada flap motor. Ketika ditemukan anomali, sistem mengirimkan peringatan ke ruang kontrol, memungkinkan teknisi melakukan tindakan pencegahan. Dengan demikian, sistem ini meningkatkan keselamatan, keandalan, dan mengurangi biaya perawatan serta waktu henti. Hasil pengujian menunjukkan bahwa sistem monitoring ini mampu mendeteksi anomali pada flap motor dengan akurasi tinggi. Algoritma PID efektif dalam menjaga stabilitas operasi flap motor. Sistem ini menunjukkan tingkat kecocokan 94,57% untuk data pelatihan dan 83,7% untuk data validasi, dengan waktu naik 0,9077 detik dan waktu stabilisasi 12,6016 detik. Selain itu, sistem berhasil memberikan peringatan dini yang memungkinkan pemeliharaan prediktif. Secara keseluruhan, penerapan sistem IoT ini meningkatkan efisiensi dan keandalan operasional pesawat serta mengurangi risiko kegagalan mekanis. Kata Kunci: Sistem Monitoring, PID, Internet of Things

Item Type: Thesis (S1)
Call Number CD: FT/ELK. 24 133
Call Number: ST/14/24/109
NIM/NIDN Creators: 41422110064
Uncontrolled Keywords: Sistem Monitoring, PID, Internet of Things
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer > 004.67 Wide Area Network (WAN)/Wide Area Network > 004.678 Internet (World Wide Web)/Internet
100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 155 Differential and Developmental Psychology/Psikologi Diferensial dan Psikologi Perkembangan > 155.9 Environmental Psychology/Psikologi Lingkungan > 155.96 Influence of Restrictive Environments/Pengaruh Lingkungan Perbatasan > 155.965 Aircraft/Pesawat Terbang
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn
700 Arts/Seni, Seni Rupa, Kesenian > 790 Recreational and Performing Arts/Olah Raga dan Seni Pertunjukan > 796 Athletic and Outdoor Sports/Atletik dan Olah Raga Luar Ruangan > 796.7 Driving Motor Vehicles/Bermotor
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: khalimah
Date Deposited: 30 Aug 2024 08:18
Last Modified: 30 Aug 2024 08:18
URI: http://repository.mercubuana.ac.id/id/eprint/90918

Actions (login required)

View Item View Item
UMB Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.