Elen Riswana Safila Putri, D. C. R. Novitasari, F. Setiawan, Abdulloh Hamid, Dwi Susanto, Muhammad Fahmi
{"title":"Prediction of Sea Surface Current Velocity and Direction using Gated Recurrent Unit (GRU)","authors":"Elen Riswana Safila Putri, D. C. R. Novitasari, F. Setiawan, Abdulloh Hamid, Dwi Susanto, Muhammad Fahmi","doi":"10.1109/IAICT55358.2022.9887516","DOIUrl":null,"url":null,"abstract":"The development of tourism activities in Labuan Bajo, especially in marine tourism, which is increasing, shows the need for knowledge regarding the conditions of the water area. One of the components in these waters is the condition of the ocean currents in Labuan Bajo. Therefore, this study aims to predict the sea surface's current velocity and direction. This study uses the Gated Recurrent Unit (GRU) algorithm. The data used in this study is the u component, namely the current velocity from east to west, and the component v is the current velocity from north to south. The data is processed through two gates, namely the update gate and the reset gate. The results of the output are used as input in the next stage. Based on trials with several parameters, 50 hidden layers, 32 batch size, and 150 learning rate drop with 70:30 data division, the smallest MAPE value for u component is 9.32% and the v component is 27.94%. he calculation of the sea surface currents direction at u and v component points is towards the southwest with a range between 207° and 213°.","PeriodicalId":154027,"journal":{"name":"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAICT55358.2022.9887516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The development of tourism activities in Labuan Bajo, especially in marine tourism, which is increasing, shows the need for knowledge regarding the conditions of the water area. One of the components in these waters is the condition of the ocean currents in Labuan Bajo. Therefore, this study aims to predict the sea surface's current velocity and direction. This study uses the Gated Recurrent Unit (GRU) algorithm. The data used in this study is the u component, namely the current velocity from east to west, and the component v is the current velocity from north to south. The data is processed through two gates, namely the update gate and the reset gate. The results of the output are used as input in the next stage. Based on trials with several parameters, 50 hidden layers, 32 batch size, and 150 learning rate drop with 70:30 data division, the smallest MAPE value for u component is 9.32% and the v component is 27.94%. he calculation of the sea surface currents direction at u and v component points is towards the southwest with a range between 207° and 213°.