PENGEMBANGAN MODEL PREDIKSI IKLIM DI INDONESIA BERBASIS ARTIFICIAL NEURAL NETWORK (ANN)

Abstract

Climate change is a natural occurrence brought on by global warming. Climate change has the potential to produce natural disasters such as flooding; therefore, countermeasures such as climate data prediction are required to combat rising temperatures. Based on it, research was conducted in ASEAN countries to anticipate climate data that is thought to effect climate change using the Artificial Neural Network. One dependent variable namely total greenhouse gas emissions and 38 independent variables were employed. This study will go over mean imputation, data splitting, data normalization, grid search implementation, and evaluating model performance to estimate total greenhouse gas emissions. The research results show that the MAE and MSE values in the data testing were 0,0105 and 0,0719, respectively, so that it can be said that the model is good.