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All Journal Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika Kresna: Jurnal Riset dan Pengabdian Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Telematika MKOM Jurnal Ticom: Technology of Information and Communication
Irawan Irawan
Universitas Budi Luhur
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Journal : Jurnal Ticom: Technology of Information and Communication

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Pengunaan Sensor MQ-2,4,7,135 dan ESP32 Untuk Air Pollution Monitoring Berbasis Internet of Things Akbar Refalista; Riri Irawati; Irawan Irawan; Tatang Wirawan Wisjhnuadji
Jurnal Ticom: Technology of Information and Communication Vol 12 No 1 (2023): Jurnal Ticom-September 2023
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

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Abstract

Air is something highly needed by living creatures in their daily lives; they use it as a tool to breathe. In terms of health, the air needed by living creatures should be clean. However, with the progress of time, the supply of clean air has become increasingly scarce due to human activities, leading to contamination by toxic chemicals. This can have a negative impact on human health. To address this issue, a system can be developed to monitor the air quality in an area or a room for the presence of toxic chemicals. This system will be implemented using the Internet of things concept. The sensors used in this system are MQ2, MQ4, MQ7, and MQ135 sensors, which are gas detectors for methane, carbon monoxide, carbon dioxide, and other pollutants in the environment or a room. The system will monitor the pollution present in an area, and the results will be displayed on a web platform using Node-RED as part of the Internet of things setup. During the testing phase, the system proved that the MQ2 sensor is capable of detecting gas/smoke with values ranging from 222 to 247 parts per million. The MQ4 sensor successfully detected methane with values ranging from 80 to 128 parts per million, while the MQ7 sensor detected carbon monoxide with values ranging from 10 to 17 parts per million. Lastly, the MQ135 sensor was able to detect carbon dioxide with values ranging from 454 to 484 parts per million. Node-RED served as the platform for monitoring the levels of these chemical gases in a room.
Co-Authors Akbar Refalista Devit Setiono Farhan Farhan Hendri Irawan Jamhari Jamhari Joko Christian Chandra Mohammad Syafrullah Muhammad Aldi Alfalah Muhammad Eko Yunanto Riri Irawati Tatang Wirawan Wisjhnuadji Zulkarnaen Noor Syarif