Journal of Applied Engineering Science, vol: 17,1 (2019)
Real-time decision support system for carbon monoxide threat warning using online expert system
Suryono S., Surarso B., Saputra R., Sudalma S.
Abstract
Carbon monoxide (CO) pollution is a threat both to our health and well-being. CO concentration above safety threshold triggers serious illnesses that may even lead to death. Unfortunately, no system is yet capable of detecting and making decision online and in real-time concerning carbon oxide threat. Hence, decisions related to CO threat are often made late as they require expert analyses. This paper proposes a solution to this problem by developing a decision support system for CO threat using internet-based online measurement and an early warning system using cellular phone. Node station of CO sensor has been built using System on Chip (SOC) WIFI-Microcontroller capable of sending data via internet gateway. The pollution index value and the rule-based algorithm used to determine CO pollution categories in the web server program are in line with those stated in the Indonesia Air Pollutant Index (IAPI). Expert system programming based on expert knowledge is used to make decision on pollution. At the detrimental level, information is sent to users using a cellular phone. Results in this research show that the use of wireless sensor system integrated to the internet helps provide precise information on CO concentration that in turn, results in proper analyses using the expert system, in line with the regulations in place. © 2019 Institut za Istrazivanja. All rights reserved.
Keyword: Decision support system; Information; Node station; Online; Rule-based