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INTEGRATED SENSOR FOR GAS POLLUTANTS MONITORING SYSTEM IN JABABEKA INDUSTRIAL ESTATE

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dc.contributor.author Chiu, Enndi
dc.date.accessioned 2022-08-11T09:12:32Z
dc.date.available 2022-08-11T09:12:32Z
dc.date.issued 2021
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/9000
dc.description.abstract Industrial area is a good place to produce, distribute, and helping the economic growth in nation. In general, factories are using trucks to deliver goods for the consumer. However, due to massive transportation passing by, air quality got affected continuously and got worsen. Hence, it is necessary to monitor the the level of gas pollutants that can endanger the human respiratory system. This work presents the integrated sensor consists of Arduino Uno and Raspberry Pi 1 Model B+ that can monitor 3 different parameters such as CO, CO2, and NH3 in industrial area in Lippo Cikarang. For monitoring system, the author uses Node-RED for implementing the internet of things system. For gas sensor, author uses MQ-135 air quality sensor to detect 3 parameters with calibration and graph converting in order to monitor the gas pollutants level. The main goal of this work is to contribute data for the Jababeka Industrial Area. The experiment has been successfully done where table and graph are shown to be analyzed and summarized. Result of the measurement is compared with environmental air quality standard. The average level of ppm in industrial area for CO2 is 30 ppm, for NH3 is 28.9 ppm, and for CO is 27.08 ppm. Also, The average level of ppm in residential area for CO2 is 21.32 ppm, for NH3 is 19.3 ppm, and for CO is 20.93 ppm. en_US
dc.language.iso en_US en_US
dc.publisher PRESIDENT UNIVERSITY en_US
dc.relation.ispartofseries Electrical Engineering;002201700008
dc.subject Gas Pollutants en_US
dc.subject Arduino Uno en_US
dc.subject Raspberry Pi Model B+ en_US
dc.subject MQ-135 en_US
dc.subject Node- RED en_US
dc.title INTEGRATED SENSOR FOR GAS POLLUTANTS MONITORING SYSTEM IN JABABEKA INDUSTRIAL ESTATE en_US
dc.type Thesis en_US


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