ANALISA PENGARUH TEMPERATUR TERHADAP DAYA OUTPUT PADA MODUL SURYA POLYCRYSTALLINE

Abstrak

This study analyzes the implementation of project-based science learning to enchance students’ literacy in understanding the influence of temperature on the output power of polycrystalline solar modules. The project involved direct field measurements of solar radiation, surface temperature of solar panels, and electrical output power over a seven day period under varying weather conditions. Quantitative analysis was conducted using corralition and simple linear regression to examine the relationship between surface temperature and output power. The result show that although the surface temperature of the polycrystalline module tends to  increase during peak sunlight hours, its influence on output power is relatively weak. The correlation coefficient (R = 0.431) indicates a moderate positive relationship, but regression analysis confirms that temperature contributes only 18.6% to power variation, with the remaining 81.4% influenced by other factors such as solar irradiance, environmental conditions, and panel characteristics. Statistical tests further reveal that the effect of temperature on power output is not significant (Sig. = 0.186). The findings emphasize that solar irradiance and environmental factors play a more dominant role than temperature alone in determining the performance of polycrystalline solar modules. This project-based approach effectively develops students’ scientific literacy by integrating data collection, analysis, and interpretation related to renewable energy systems.