New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building
This research focused on developing accuracy to determine the fire point of a building using Wireless Sensor Network (WSN) which had been spread unevenly and in motion. At present, the constraints faced by WSN that are distributed unevenly are the weak level of accuracy of the data obtained, which c...
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| Format: | Conference or Workshop Item |
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2020
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| _version_ | 1796865389686161408 |
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| author | Wahyono, Irawan Dwi Asfani, Khoirudin Mohamad, Mohd. Murtadha Rosyid, H. A. Afandi, A. N. Aripriharta, Aripriharta |
| author_facet | Wahyono, Irawan Dwi Asfani, Khoirudin Mohamad, Mohd. Murtadha Rosyid, H. A. Afandi, A. N. Aripriharta, Aripriharta |
| author_sort | Wahyono, Irawan Dwi |
| collection | ePrints |
| description | This research focused on developing accuracy to determine the fire point of a building using Wireless Sensor Network (WSN) which had been spread unevenly and in motion. At present, the constraints faced by WSN that are distributed unevenly are the weak level of accuracy of the data obtained, which can be caused by the weakness of the WSN itself, namely resource limitations in the form of bandwidth, power, delay, latency, and computing. Therefore, an intelligent algorithm that functions to process data based on the unevenly distributed WSN was needed to get better accuracy in building fire determination information. This study used 2 types of algorithms, namely K-Nearest Neighbor(k-NN) for the grouping of positions from the scattered WSN, and the Decision Tree algorithm to determine the outcome of a building fire decision based on each of the grouping results. From testing of 20 WSNs that implemented the 2 algorithms mentioned earlier, the results obtained were in the form of an accuracy rate of 70% and an average error of 30%. |
| first_indexed | 2024-03-05T20:56:14Z |
| format | Conference or Workshop Item |
| id | utm.eprints-92261 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:56:14Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | utm.eprints-922612021-09-28T07:34:50Z http://eprints.utm.my/92261/ New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building Wahyono, Irawan Dwi Asfani, Khoirudin Mohamad, Mohd. Murtadha Rosyid, H. A. Afandi, A. N. Aripriharta, Aripriharta QA75 Electronic computers. Computer science This research focused on developing accuracy to determine the fire point of a building using Wireless Sensor Network (WSN) which had been spread unevenly and in motion. At present, the constraints faced by WSN that are distributed unevenly are the weak level of accuracy of the data obtained, which can be caused by the weakness of the WSN itself, namely resource limitations in the form of bandwidth, power, delay, latency, and computing. Therefore, an intelligent algorithm that functions to process data based on the unevenly distributed WSN was needed to get better accuracy in building fire determination information. This study used 2 types of algorithms, namely K-Nearest Neighbor(k-NN) for the grouping of positions from the scattered WSN, and the Decision Tree algorithm to determine the outcome of a building fire decision based on each of the grouping results. From testing of 20 WSNs that implemented the 2 algorithms mentioned earlier, the results obtained were in the form of an accuracy rate of 70% and an average error of 30%. 2020 Conference or Workshop Item PeerReviewed Wahyono, Irawan Dwi and Asfani, Khoirudin and Mohamad, Mohd. Murtadha and Rosyid, H. A. and Afandi, A. N. and Aripriharta, Aripriharta (2020) New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building. In: 7th International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2020, 24 - 25 September 2020, Semarang, Indonesia. http://dx.doi.org/10.1109/ICITACEE50144.2020.9239161 |
| spellingShingle | QA75 Electronic computers. Computer science Wahyono, Irawan Dwi Asfani, Khoirudin Mohamad, Mohd. Murtadha Rosyid, H. A. Afandi, A. N. Aripriharta, Aripriharta New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title | New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title_full | New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title_fullStr | New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title_full_unstemmed | New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title_short | New Hybrid Algorithm Implementation on spread Wireless Sensor to determine the point of fire in the building |
| title_sort | new hybrid algorithm implementation on spread wireless sensor to determine the point of fire in the building |
| topic | QA75 Electronic computers. Computer science |
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