<![CDATA[This study aims to design and implement an Internet of Things (IoT)-based automatic gate control system using the ESP32‑S3 microcontroller integrated with Firebase, ESP32‑CAM, and the DHT22 sensor. The system was developed to enhance school gate security and operational efficiency through five operational modes: automatic (RTC DS3231), manual (push button), remote (Android–Firebase), visual documentation (ESP32‑CAM), and temperature protection (DHT22 + DC fan). The research method included hardware and software design, 50 testing iterations, and both internal and external validation. The results showed an average accuracy of 92%, a response time of 2.1 seconds, and input-output consistency of 95%. Evaluation using a confusion matrix yielded Precision of 0.94, Recall of 0.91, and F1‑Score of 0.92. Internal validation scored 82%, while external validation reached 84%, indicating that the system is academically feasible and practically accepted. This study demonstrates that the IoT-based automatic gate control system with ESP32‑S3 can be effectively implemented in school environments and surpasses previous research by integrating multi-mode control, visual documentation, and automatic temperature protection.]]>
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