Sea Wave Detection System Using Web-Based Naive Bayes Algorithm
Bimo Falaka, Randy Erfa Saputra, Casi Setianingsih, Muhammad Ary Murti · 2021
The tidal wave was a staggering fiasco with substantial setbacks and harm to structures in the influenced region because of the monstrous rapid sea waves that cleared the land. Indonesia is a country that is truly powerless against torrent assaults on the grounds that it comprises of thousands of islands encompassed by seas and situated in regions where dynamic structural plates meet. The reason for a wave itself can be a quake that is focused under the ocean, volcanic emissions submerged, avalanches submerged, or a meteor sway adrift. Based on the above problems, we need a system capable of detecting ocean waves and providing early warnings to the public. The system will be designed using the method naïve Bayes to provide early warning to fishers and coastal communities based on the parameters of the speed and height of sea waves connected to the Internet of things. Tests using naïve Bayes have excellent accuracy performance between 98% to 100%.