RAHARDJO, RAFLY WIDYAVIANTO (2026) PERANCANGAN SISTEM OTOMATISASI PENGONTROL AIR COOLER BERBASIS IOT (INTERNET OF THINGS) DENGAN MENGGUNAKAN METODE FUZZY MAMDANI UNTUK EFISIENSI ENERGI PADA SMART HOME. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The development of Internet of Things (IoT) technology is driving the adoption of automation systems in smart homes, including Air Cooler control. However, manual use of Air Coolers often wastes energy because the devices continue to operate even when the room is comfortable or unoccupied. Therefore, a control system is needed that can automatically regulate Air Cooler operation according to environmental conditions. This study designed an IoT-based Air Cooler control automation system using the Fuzzy Mamdani method. The system utilizes a DHT22 sensor to read room temperature and a PIR sensor to detect occupant presence. Data from both sensors is processed by an ESP32 using Fuzzy Mamdani logic, and the results are then used to control the Air Cooler via infrared signals. Furthermore, the system is integrated with the Blynk application for real-time monitoring. The test results show that the designed system has worked well according to the design. The DHT22 sensor exhibited an average error rate of 1.01%, while the PIR sensor detected user presence within a range of 10–90 cm with a response time of 0.5–1.2 seconds. Implementing the Mamdani Fuzzy method on the ESP32 yielded outputs consistent with MATLAB simulation results. In a 5-minute test starting at 30°C under identical conditions, the conventional system lowered the temperature to 28.9°C with an energy consumption of 0.00581 kWh, whereas the Mamdani Fuzzy system lowered the temperature to 27.6°C with an energy consumption of 0.00482 kWh. These results demonstrate that the Mamdani Fuzzy-based system provides more effective cooling, achieving a 17.04% reduction in energy consumption compared to the conventional system. Keywords: Smart Home, IoT, Air Cooler, Fuzzy Mamdani, Energy Efficiency, Blynk Perkembangan teknologi Internet of Things (IoT) mendorong penerapan sistem otomatisasi pada rumah pintar, termasuk pengendalian Air Cooler. Namun, penggunaan Air Cooler yang masih dilakukan secara manual sering menyebabkan pemborosan energi karena perangkat tetap beroperasi meskipun kondisi ruangan sudah nyaman atau tidak terdapat penghuni. Oleh karena itu, diperlukan sistem pengendalian yang mampu mengatur pengoperasian Air Cooler secara otomatis sesuai kondisi lingkungan. Penelitian ini merancang sistem otomatisasi pengontrol Air Cooler berbasis IoT menggunakan metode Fuzzy Mamdani. Sistem memanfaatkan sensor DHT22 untuk membaca suhu ruangan dan sensor PIR untuk mendeteksi keberadaan orang. Data dari kedua sensor diproses oleh ESP32 menggunakan logika Fuzzy Mamdani, kemudian hasilnya digunakan untuk mengendalikan Air Cooler melalui sinyal inframerah. Selain itu, sistem terintegrasi dengan aplikasi Blynk untuk monitoring secara real-time. Hasil pengujian menunjukkan bahwa sistem yang dirancang telah bekerja sesuai dengan perancangan. Sensor DHT22 memiliki rata-rata error sebesar 1,01%, sedangkan sensor PIR mampu mendeteksi keberadaan pengguna pada jarak 10–90 cm dengan waktu respons 0,5–1,2 detik. Implementasi metode Fuzzy Mamdani pada ESP32 juga menghasilkan keluaran yang sesuai dengan hasil simulasi MATLAB. Pada pengujian selama 5 menit dengan suhu awal 30°C dan kondisi pengujian yang sama, sistem konvensional menurunkan suhu hingga 28,9°C dengan konsumsi energi sebesar 0,00581 kWh, sedangkan sistem Fuzzy Mamdani mampu menurunkan suhu hingga 27,6°C dengan konsumsi energi sebesar 0,00482 kWh. Hasil tersebut menunjukkan bahwa sistem berbasis Fuzzy Mamdani mampu memberikan pendinginan yang lebih efektif dengan pengurangan konsumsi energi sebesar 17,04% dibandingkan sistem konvensional. Kata Kunci: Smart Home, IoT, Air Cooler, Fuzzy Mamdani, Efisiensi Energi, Blynk
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