Wahyono, Irawan Dwi and Asfani, Khoirudin and Mohamad, Mohd. Murtadha and Rosyid, H. A. and Afandi, A. N. and Aripriharta, Aripriharta (2020) The new intelligent wireless sensor network using artificial intelligence for building fire disasters. In: 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), 3 - 4 October 2020, Surabaya, Indonesia.
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Official URL: http://dx.doi.org/10.1109/ICVEE50212.2020.9243210
Abstract
This research was aimed to develop an intelligent system for Wireless Sensor Network (WSN) to determine fire disasters in buildings. The parameters used in determining the disasters in the building were temperature level, smoke level, gas content level, the amount of water available, and the number of people per room in the building. There were 3 levels to determine fire disasters, namely: normal, early warning, and fire. The determination of building fire disasters was done by WSN using artificial intelligence with 3 parameters. The Test results in this study obtained an average accuracy rate of 91,8% by utilizing the artificial intelligence algorithm on WSN.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | disaster, artificial intelligent |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 92884 |
| Deposited By: | Widya Wahid |
| Deposited On: | 28 Oct 2021 10:18 |
| Last Modified: | 28 Oct 2021 10:18 |
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