Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019, vol: , (2019)
Fog Computing For Monitoring of Various Area Mapping Pollution Carbon Monoxide (CO) with Ordinary Kriging Method
Nugroho F.W., Suryono S., Suseno J.E.
Abstract
Air pollution can increase global health problems that lead to an increased many health of risk, including shortness of breath, lung cancer, heart disease. Carbon monoxide (ppm) is component of air pollution that comes from motor vehicle exhaust gases which has an impact on reducing the quality and comfort of life. Monitoring and calculating of carbon monoxide gas (ppm) is very needed to keep the air clean and free of air pollution, to reduce the risk, we need a system that can monitor the increase of carbon monoxide by designing a fog computing application for monitoring mapping systems of carbon monoxide gas pollution-prone areas using ordinary kriging method. Ordinary kriging method is serves to optimize the unbiased estimation of a point using semi semi-variance and a set of actual data set by entering sample point data and calculating distance (h) between two sensor points closest to the sample point whose location (Si) has been determined based on longitude and latitude on the google map and calculating the average values of three points distribution of carbon monoxide gas (ppm). So as to produce information about the amount of carbon monoxide gas that is displayed in the form of geographical mapping from Google Map. © 2019 IEEE.
Keyword: air pollution; carbon monoxide; fog computing; google map; ordinary kriging