Pengembangan Prototipe Sistem Pemantauan dan Pengendalian Kualitas Udara Rumah Hunian di Lingkungan Industri Berbasis IoT
DOI:
https://doi.org/10.26623/transformatika.v24i1.14338Keywords:
Internet of Things, Zero-Order Fuzzy Sugeno, Automatic Control, Air Quality, Real-Time MonitoringAbstract
The decline of indoor air quality has become an important issue, especially in residential houses located in industrial environments due to exposure to hazardous gases and particulate matter. This condition can cause health problems, therefore a system capable of real-time monitoring and control is required. The novelty of this study lies in the integration of monitoring and automatic control systems based on the Internet of Things using the Fuzzy Sugeno method. The objective of this study is to develop a prototype system capable of monitoring and controlling air quality automatically in residential houses within industrial areas. The method used is prototype development by utilizing MQ-135, GP2Y1010AU0F, and DHT22 sensors connected to an ESP32 microcontroller. The data are processed using the zero-order Fuzzy Sugeno method and transmitted to the ThingSpeak platform for real-time monitoring. The testing process was conducted over a certain period, resulting in 88 data samples. The results show that the system is able to perform well in monitoring and controlling air quality. The distribution of air quality conditions consists of 52.27% good, 45.45% moderate, and 2.27% poor. The system successfully activates actuators automatically according to air conditions and is able to transmit data stably despite network disturbances. In conclusion, the developed system can serve as a real-time solution for monitoring and controlling air quality in residential environments near industrial areas.References
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