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.
