LAKSANA, DWI YOGA (2025) RANCANG BANGUN SISTEM KONTROL DAN MONITORING SUHU DAN KELEMBABAN PADA TEMPORARY STORAGE KOMPONEN PESAWAT TERBANG BERBASIS INTERNET OF THINGS. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Avionic components in the aviation industry require a temporary storage area with stable temperature and humidity. At PT GMF AeroAsia, the monitoring process is still conducted manually using analog instruments, making it prone to errors, especially during rush maintenance periods. The absence of an automated system can lead to Cost of Poor Quality (COPQ) due to undetected component damage at an early stage. To address this issue, a real-time Internet of Things (IoT) based control and monitoring system was developed. The system uses a Raspberry Pi and a DHT22 sensor to read temperature and humidity, which are then transmitted to a Thingsboard web server via the HTTP protocol. Device control is handled using a fuzzy logic method that adjusts the response of a thermoelectric cooler and humidifier based on the variability of environmental conditions. The test results show that the system operates effectively and accurately with a temperature sensor error rate of 0.535% and humidity sensor error rate 1.513% The fuzzy logic method successfully controlled the cooler and humidifier according to the defined parameters. This prototype provides an efficient and reliable solution for temperature and humidity monitoring supporting the maintenance of avionic component quality during storage. Keywords: Avionic, Internet of Things, Raspberry Pi, Temperature and humidity monitoring, Fuzzy Logic Komponen avionic dalam industri penerbangan memerlukan ruangan penyimpanan sementara atau temporary storage dengan suhu dan kelembapan yang stabil. Di PT GMF AeroAsia proses monitoring masih dilakukan secara manual menggunakan alat analog sehingga rentan terhadap kesalahan khususnya saat periode rush maintenance. Ketiadaan sistem otomatisasi dapat menyebabkan Cost of Poor Quality (COPQ) akibat kerusakan komponen yang tidak terdeteksi sejak awal. Untuk mengatasinya dikembangkan sistem kontrol dan monitoring berbasis Internet of Things yang bekerja secara real-time. Sistem ini menggunakan Raspberry Pi dan sensor DHT22 untuk membaca suhu dan kelembapan lalu mengirimkan data ke web server Thingsboard melalui protokol HTTP. Selanjutnya kendali perangkat menggunakan metode logika fuzzy yang akan mengatur respons pendingin thermoelectric dan humidifier terhadap variabilitas kondisi lingkungan. Hasil pengujian menunjukkan bahwa sistem mampu bekerja efektif dan akurat dengan tingkat error sensor suhu 0.535% dan kelembaban 1.513%. Metode fuzzy berhasil mengendalikan pendingin dan humidifier sesuai parameter yang ditetapkan. Alat uji ini memberikan solusi monitoring suhu dan kelembapan yang efisien dan mendukung pemeliharaan kualitas komponen avionic selama masa penyimpanan. Kata kunci: Avionic, Internet of Things, Raspberry Pi, Monitoring suhu dan kelembapan, Logika Fuzzy
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