ANALYSIS OF WEATHER INFLUENCE ON ULTRAVIOLET (UV) RADIATION INTENSITY IN MAKASSAR CITY

Makassar City, located on the southwestern coast of South Sulawesi, has a tropical climate influenced by seasonal weather variability. In this context, ultraviolet (UV) radiation is a concern due to its fluctuations, which can impact human health and the environment. This study focuses on analyzing the relationship between weather conditions and UV radiation intensity. The data used were obtained from the NASA POWER Data Access Viewer over two decades, encompassing meteorological variables such as air temperature, relative humidity, precipitation, and sky clearness index. This study aims to: (1) analyze the correlation between UV radiation trends and meteorological variables, and (2) examine variations in UV intensity based on trend analysis and predictions. The study employs simple linear regression, multiple linear regression, and first-order polynomial regression to evaluate the relationships among variables. The analytical steps include data cleaning, long-term trend analysis, identification of seasonal anomalies, and development of predictive models. Model validation is conducted using Pearson correlation coefficients and Root Mean Square Error (RMSE). 

The results show that air temperature and sky clearness are positively correlated with UV intensity, while humidity and rainfall intensity has a negative relationship. UV intensity tends to be higher during March–April and August–October, with the peak occurring in September. The predictive model developed in this study demonstrates strong performance, with high correlation values and low RMSE, indicating its ability to accurately represent UV radiation patterns. This research contributes to a better understanding of UV radiation distribution in relation to local meteorological conditions. The findings are important for supporting the development of early warning systems for excessive UV exposure in tropical regions such as Makassar, and serve as a foundation for public health risk mitigation policies.

Keywords: ultraviolet radiation, Makassar, linear regression, UV trends, meteorological variables.