MUSODIK, ZEZI (2025) RANCANG BANGUN SISTEM PENDINGIN UDARA BERBASIS SISTEM FUZZY MAMDANI. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Temperature and humidity control are really important for keeping the air comfortable and clean, especially in places that are closed off. If the temperature isn't kept at the right level, people can feel uncomfortable. That's why it's so important to have a smarter and more efficient way to control the temperature. In this study, we created and used an automatic air conditioning system that works with a fuzzy logic approach based on an ESP32 microcontroller. The system uses a DHT22 sensor to keep checking the temperature and humidity, and it shows the data on an LCD screen as well as through the Blynk app, so you can check it from anywhere. The Mamdani fuzzy logic method helps figure out how comfortable the air feels based on the temperature and humidity readings. Then, the results from the fuzzy logic are used to change the fan speed using PWM signals and to control the Peltier module. Test results show that the system can automatically adjust to changes in temperature and humidity using fuzzy logic rules. For example, when the temperature is high, like 32.5°C with 70% humidity, the fan spins quickly at 232 RPM, which slowly lowers the temperature. But when the temperature is lower, such as 26°C or 25.4°C, the fan doesn't run because these levels are seen as comfortable. A comparison between data from the DHT22 sensor and the HCT-1 device shows a difference of between +0.4°C and +0.7°C, which is still within the acceptable range for the sensor. The system shows temperature and humidity readings directly on a 16x2 LCD screen and the Blynk app. There's a delay of about 2 seconds between the two displays, but this doesn't impact how well the system works in monitoring the air cooler. Keywords : ESP32, DHT22, Fuzzy Logic, PWM, Blynk, Monitoring, Temperature and Humidity Control Pengendalian suhu dan kelembapan sangat penting untuk menjaga kenyamanan dan kualitas udara, terutama di dalam ruangan yang tertutup. Ketika suhu tidak dapat diatur dengan tepat, penghuni ruangan dapat merasakan ketidaknyamanan. Oleh karena itu, pengendalian suhu yang lebih cerdas dan efisien menjadi penting. Dalam penelitian ini, dibuat dan dijalankan sistem pendingin udara otomatis yang menggunakan metode logika fuzzy berbasis mikrokontroler ESP32. Sistem ini menggunakan sensor DHT22 untuk mengukur suhu dan kelembapan secara terus-menerus, kemudian menampilkan hasilnya melalui layar LCD dan aplikasi Blynk agar bisa dilihat secara jarak jauh. Metode logika fuzzy Mamdani digunakan untuk menentukan tingkat kenyamanan udara berdasarkan nilai suhu dan kelembapan. Hasil dari logika fuzzy digunakan untuk mengatur kecepatan kipas melalui sinyal PWM serta mengontrol modul Peltier. Hasil uji menunjukkan sistem mampu merespons perubahan suhu dan kelembapan secara otomatis berdasarkan logika fuzzy yang sudah ditentukan. Saat suhu tinggi, misalnya 32,5°C dengan kelembapan 70%, kipas berputar cepat yaitu 232 RPM sehingga suhu turun secara perlahan. Namun, ketika suhu rendah seperti 26°C atau 25,4°C, kipas tidak berjalan karena kondisi tersebut dianggap sudah nyaman. Perbandingan data dari sensor DHT22 dengan alat ukur HCT-1 menunjukkan selisih berkisar antara +0,4°C hingga +0,7°C, yang masih dalam batas toleransi yang diperbolehkan oleh spesifikasi sensor. Informasi suhu dan kelembapan ditampilkan secara langsung melalui layar LCD 16x2 dan aplikasi Blynk. Waktu penundaan (delay) antara kedua tampilan sekitar 2 detik, namun hal ini tidak mengurangi akurasi maupun keandalan sistem dalam memantau kondisi udara. Kata Kunci : ESP32, DHT22, Logika Fuzzy, PWM, Blynk, Monitoring, Kontrol Suhu dan Kelembapan
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