Air pollution is one of the important factors that affect health. The increasing of populations and the activities of humans in every sector has caused air pollution. Polluting gases such as carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) are often the result of human activities specifically from the vehicles in the street. In Manokwari city, there are several points, especially during the start of working hours and end of working hours has caused an increase in traffic and contributing to pollution. To monitor the air quality in Manokwari, the Internet of Things (IoT) approach could be used to determine the air quality using sensors. Smart air pollution monitoring system design in Manokwari will be used on Raspberry Pi as IoT devices, Sensor MQ 135, MQ2, and dust particles sensor GPY2Y1014AU to determine the polluting gases. GPS module also is used in the system design, so that the user can see the air quality map in the smartphone, but if the users are not using a smartphone, Raspberry Pi 4 will also be used as BTS with YateBTS so that the user will receive the text message. Based on the research that has been done, gases sensor can be implemented to IoT and obtain the air quality which is will be applied to the air quality monitoring system in Manokwari.
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9 May 2023
THE 7TH INTERNATIONAL CONFERENCE ON TECHNOLOGY AND VOCATIONAL TEACHERS (ICTVT 2021)
5 October 2021
Yogyakarta, Indonesia
Research Article|
May 09 2023
Smart air pollution monitoring system planning design in Manokwari
Rio Octovinary Pramanagara;
Rio Octovinary Pramanagara
a)
1
University of Papua, Department of Electrical Engineering
, Jl. Gn. Salju. Amban, Manokwari, West Papua Indonesia
a)Corresponding author: [email protected]
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Christian Dwi Suhendra;
Christian Dwi Suhendra
2
University of Papua, Department of Informatics Engineering
, Jl. Gn. Salju. Amban, Manokwari, West Papua, Indonesia
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Duaitd Kolibongso
Duaitd Kolibongso
3
University of Papua, Department of Marine Science
, Jl. Gn. Salju. Amban, Manokwari, West Papua Indonesia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2590, 030009 (2023)
Citation
Rio Octovinary Pramanagara, Christian Dwi Suhendra, Duaitd Kolibongso; Smart air pollution monitoring system planning design in Manokwari. AIP Conf. Proc. 9 May 2023; 2590 (1): 030009. https://doi.org/10.1063/5.0106306
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