Pengembangan Sistem Kipas Angin Pintar Berbasis IoT untuk Pemantauan Suhu dan Kelembapan secara Real-Time
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The increase in indoor temperature and humidity often leads to discomfort and excessive energy consumption in conventional fans operated manually. This study aims to develop a smart fan system based on the Internet of Things (IoT) with adaptive control, capable of monitoring temperature and humidity in real-time and adjusting fan speed automatically or manually via a smartphone application. The system was built using a DHT11 temperature and humidity sensor, a NodeMCU ESP8266 microcontroller, and the Blynk IoT platform as the primary interface. Test results show that the sensor achieved an accuracy of ±0.8°C for temperature and ±3% for humidity, with an average data transmission latency of < 2 seconds and a fan response time of < 1 second. The system operated stably for approximately 1 hours without connection interruptions. By applying adaptive control through hysteresis logic, the system has the potential to reduce energy consumption by dynamically adjusting the fan duty cycle compared to conventional fans. This development contributes to creating an adaptive, comfortable, and energy-efficient indoor environment.
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Author Biographies
Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.
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References
Total: 14 References- Ab Rahman, R., Hashim, U. R. A., & Ahmad, S. (2020). IoT based temperature and humidity monitoring framework. Bulletin of Electrical Engineering and Informatics, 9(1), 229-237. https://doi.org/10.11591/eei.v9i1.1557.
- Geck, C. C., Alsaad, H., Voelker, C., & Smarsly, K. (2024). Personalized low-cost thermal comfort monitoring using IoT technologies. Indoor Environments, 1(4), 100048.
- Hendajani, F., Mughni, A., Wardhani, I. P., & Hakim, A. (2022). Modeling Automatic Room Temperature and Humidity Monitoring System with Fan Control on the Internet of Things. ComTech: Computer, Mathematics and Engineering Applications, 13(2), 75-85.
- Hendry, I. (2019). ESP32 Development using the Arduino IDE.
- Iriho, K. (2022). IoT based smart fan controller and fire prevention in computer laboratory (Doctoral dissertation, NM-AIST).
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