Penerapan Metode Support Vector Machine Dalam Memprediksi Prediksi Cuaca

Rifqi, Muhammad Naufal
Aldisa, Rima Tamara

Journal of Computer System and Informatics (JoSYC)
Vol 5 No 2 (2024): February 2024

Weather is a natural that has a big impact on humans. Information about weather predictions is really needed by humans, especially in the city of Medan. This information is very useful for knowing weather events around us. Data mining is a process of collecting important information from large data, so that it can help make decisions and make accurate predictions. So researchers are interested in conducting research in predicting the weather in the city of Medan using the Support Vector Machine (SVM) method as a solution for predicting the weather in the city of Medan. The application of data mining using the SVM method helps produce precise accuracy for weather based on predetermined criteria. This method is suitable for weather predictions because it is able to provide clear and accurate assessments with weather predictions of 54.55%.