| Issue |
BIO Web Conf.
Volume 70, 2023
Maritime Continent Fulcrum International Conference (MaCiFIC 2023)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| Section | Maritime Science and Technology | |
| DOI | https://doi.org/10.1051/bioconf/20237001003 | |
| Published online | 06 November 2023 | |
Rainfall Prediction with Support Vector Machines: A Case Study in Tanjungpinang City, Indonesia
Informatics, Faculty of Engineering and Maritime Technology, 29111 Tanjungpinang, Indonesia
* Corresponding author: nurul.hayaty@umrah.ac.id
Rainfall forecasting is becoming more challenging due to extreme climate change. Especially for the archipelago which has a unique geography compared to the mainland. The aim of this study is to test the performance of the support vector machine in predicting rainfall in Tanjungpinang, Kepulauan Riau, Indonesia. The variables used to predict are temperature, humidity, wind speed, and rainfall. The results obtained is a precision value of 82% for rain, with a ROC curve evaluation score of 0.74. These results show that the model built has a fairly good ability to separate between positive and negative results in predicting rainfall.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.