Jupiter
Vol 16 No 2 (2024): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)

Sistem Deteksi Dan Pemantauan Kualitas Udara Dalam Ruangan Berbasis IoT

Aqila Zulfahmi Putri, Nessa (Unknown)
Uray Ristian (Unknown)
Rahmi Hidayati (Unknown)



Article Info

Publish Date
29 Jun 2024

Abstract

The indoor air quality is related to the comfort and health of the people inside. The causes of poor air quality or stuffiness can be influenced by three parameters: temperature, humidity, and the levels of carbon dioxide. To detect air quality, an IoT-based system was developed to monitor the status of indoor air quality. The air quality statuses defined in this study include not stuffy, moderately stuffy, stuffy, or very stuffy. The sensors used in this study are DHT11 and MH-Z19B. Testing was conducted in three different rooms: Computer Laboratory A, Computer Laboratory B, and the Workshop Laboratory of the Computer System Engineering program at Tanjungpura University, Pontianak. The results of this study include a device that displays information on temperature, humidity, and carbon dioxide levels on a 16x2 LCD with LED lights that turn on when parameter values exceed the set thresholds, and a website. The average detected temperature was 27.51°C, humidity was 52.34%, and the average carbon dioxide level was 703.36 PPM. Based on these three parameters, the average detected air quality status was moderately stuffy. The system was able to detect indoor air quality with an overall average system accuracy of 90.31%.

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Journal Info

Abbrev

jupiter

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...