Rancang Bangun Pemantauan Kematangan Buah Pisang Cavendish Secara Real-Time Berbasis Internet of Things
DOI:
https://doi.org/10.55606/jutiti.v6i2.7626Keywords:
Cavendish Banana, ESP32-CAM, Fuzzy Logic, Internet of Things (IoT), TCS3200 Color SensorAbstract
Cavendish bananas are one of the most widely cultivated fruits and have a relatively high economic value. Determining the ripeness level of Cavendish bananas is essential to obtain good quality and harvest yields. However, this process is still commonly carried out manually based on visual observation of the fruit. This study aims to develop a real-time monitoring system for Cavendish banana ripeness using a TCS3200 color sensor and an ESP32-CAM camera based on the Internet of Things (IoT). The research employed the Waterfall method, which consists of requirements analysis, system design, implementation, and system testing stages. The TCS3200 sensor was used to read RGB color values from Cavendish bananas, while the ESP32-CAM was utilized to capture images of the bananas and leaves. The acquired data were then processed using fuzzy logic to classify fruit ripeness into three categories: unripe, semi-ripe, and ripe. The testing results showed that the system was able to detect color changes in Cavendish bananas and leaves and transmit the data to Firebase for display on a monitoring website. The average time required to send data from the device to the website ranged from 1 to 2 seconds. Based on these results, the developed system can assist in monitoring banana ripeness, enabling faster and easier determination of harvest time. In addition, the system can serve as a technology-based monitoring alternative to help farmers supervise crop conditions more effectively and efficiently.
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