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STUDI EFISIENSI SISTEM PANEL SURYA TERSENSITISASI VARIASI DYE BERBASIS INTERNET OF THINGS (IOT)
This research aims to design and analyze an Internet of Things (IoT)-based monitoring system to observe the performance of Organic Solar Cells (OSC) sensitized with variations of chlorophyll dye and mixed dyes (anthocyanin + chlorophyll + carotene). The system uses an INA219 sensor to measure voltage and current, which are then transmitted in real-time via the ESP32 WiFi module to the Blynk application. he results show that the highest voltage was recorded on day 3 with a value of 0.34 V using a series configuration, while the highest current was observed on day 10 at 200 µA with a parallel configuration. The highest power output in the series circuit occurred on day 2 at 60 µW, while in the parallel circuit it occurred on day 11 at 18 µW. Over 13 days of testing, a power degradation of up to 68.26% was observed. The highest efficiency was achieved in the series configuration at 0.1411%, whereas the parallel configuration reached 0.0392%. The results indicate that higher light intensity tends to increase the electrical power generated by Organic Solar Cells (OSC). To support real-time monitoring and performance evaluation of OSC, an Internet of Things (IoT)-based system was implemented. This system has proven effective in assisting the optimization of OSC utilization under various lighting conditions. Keywords : Organic Solar Cell, Internet of Things, Smart Monitoring, ESP32.
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