Analisis Pengaruh Intensitas Cahaya Matahari Terhadap Efisiensi Pengisian Daya Baterai dari Panel Surya Berbasis Internet of Things (IoT)

Abstract

This study aims to analyze the effect of sunlight intensity on the efficiency of battery charging using a solar panel monitored in real-time through an Internet of Things (IoT)-based system. The results show a proportional relationship between light intensity and charging efficiency. Higher light intensities (above 40,000 lux) generate stable current and voltage, leading to faster and more efficient battery charging. Conversely, at lower intensities (below 10,000 lux), the charging process slows down or even stops. The monitoring system was built using an ESP8266 microcontroller, a BH1750 light sensor, and an OLED display as a local output, all integrated and functioning properly. The system is connected to the Blynk IoT platform, enabling remote data monitoring in the form of digital values and interactive graphs. This facilitates performance analysis of the solar panel under various environmental conditions. Overall, the system successfully meets the research objectives: analyzing the relationship between light intensity and charging efficiency, developing an IoT-based monitoring system, and presenting real-time data visualization for practical and informative analysis.