Earthquake Prediction Analysis Using the Decision Tree C4.5 Algorithm: Literature Review

Abstract

Earthquakes are natural disasters that can severely affect human lives and infrastructure. This study aims to analyze and evaluate the effectiveness of the C4.5 decision tree algorithm in predicting earthquakes based on historical seismic data. Using a quantitative approach and systematic literature review, the study compiles information from previous research related to earthquake prediction models. The results suggest that the C4.5 model provides reasonably high prediction accuracy in earthquake-prone areas and could be integrated into early warning systems.