Bulletin of Data Science
Vol 4 No 1 (2024): October 2024

Penerapan Data Mining Dengan Metode Support Vector Machine Untuk Prediksi Cuaca

Fau, Idrianis (Unknown)



Article Info

Publish Date
30 Oct 2024

Abstract

Cuaca is a natural phenomenon that greatly impacts humans. Information about weather prediction is needed by humans and especially in Medan City. This information is very useful to know the weather events around us. Data mining is a process of collecting important information on large data, so that it can help to make decisions and can make accurate predictions. So that researchers are interested in conducting research in predicting weather in Medan City by using the Support Vector Machine (SVM) method as a solution in predicting weather in Medan City. The application of data mining using the SVM method helps produce the right accuracy for weather based on predetermined criteria, this method is suitable for weather prediction because it is able to provide a clear and accurate assessment.

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Journal Info

Abbrev

bulletinds

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Bulletin of Data Science journal publishes manuscripts within the fields of: 1. Soft Computing, 2. Experts System, 3. Decision Support System, 4. Cryptography, 5. Big Data, 6. Data Mining, 7. Artificial Inteligence, and ...