Student Research Reports

View Research Report

Climate change is a critical factor affecting agriculture, environment, and economy, particularly in climatically vulnerable regions such as Kalasin Province. This study aims to analyze temperature and rainfall trend changes in Kalasin Province between 2021-2024 and forecast trends until 2028 using Artificial Intelligence (AI) technology for climate prediction. The research utilized historical temperature and rainfall data from the Meteorological Department to train AI models, specifically Long Short-Term Memory (LSTM) and AutoRegressive Integrated Moving Average (ARIMA). The findings reveal a continuous increasing trend in Kalasin Province's temperature, particularly in the fourth quarter, with an increase of up to 3.12°C. Rainfall demonstrated significant variability, with some years showing a clear decline in early periods and increased precipitation during rainy seasons, potentially influenced by El Niño and La Niña phenomena. Comparing AI model performance, LSTM demonstrated higher accuracy than ARIMA, as evidenced by lower Root Mean Square Error (RMSE) values. The LSTM model showed superior capability in capturing data trends and variations. However, the models still exhibited limitations during periods of rapid climate changes. The study's results can serve as a foundational resource for climate adaptation planning, enabling relevant agencies to develop more effective measures for water resource and agricultural management in Kalasin Province. Keywords: Climate Change, Kalasin Province,