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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Reduced False Alarm for Forest Fires Detection and Monitoring using Fuzzy Logic Algorithm

Author 1: Maria Susan Anggreainy
Author 2: Bimo Kurniawan
Author 3: Felix Indra Kurniadi

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130764

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 7, 2022.

  • Abstract and Keywords
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Abstract: The purpose of this research was to detect forest fires in efforts to minimize the incidence of false alarms. The research method used is divided into several stages, namely planning, analysis, design, implementation, testing, and maintenance. Arduino acts as a data collector on the field, which will later be used to detect forest fires and false alarms. Fuzzy logic is used as the essence of the algorithm and will provide a higher level of accuracy for forest fire detection and false alarms. In testing the fuzzy program, the fuzzy output between Arduino and the fuzzy on the monitoring dashboard has a small difference of 0.99%. It can be concluded; the application can minimize the occurrence of false alarms to reduce the user's workload.

Keywords: False alarm; fuzzy logic; forest fires detection; sensor; microcontroller

Maria Susan Anggreainy, Bimo Kurniawan and Felix Indra Kurniadi, “Reduced False Alarm for Forest Fires Detection and Monitoring using Fuzzy Logic Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 13(7), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130764

@article{Anggreainy2022,
title = {Reduced False Alarm for Forest Fires Detection and Monitoring using Fuzzy Logic Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130764},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130764},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {7},
author = {Maria Susan Anggreainy and Bimo Kurniawan and Felix Indra Kurniadi}
}


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