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This research addresses the critical issue of bagworm (Metisa plana) infestations in oil palm plantations, which can cause severe damage to crop yields if not managed proactively. This project proposes a Smart IoT-based Monitoring and Alert System that integrates multiple environmental sensors, including a DHT22 sensor for measuring air humidity and temperature monitoring, and an NPN anemometer for real-time wind speed measurement. These sensors work together to monitor conditions that influence bagworm reproduction and survival. The system stores sensor data on a local web server and automatically notifies plantation workers through a web dashboard and Telegram application when thresholds indicate the need for pest control actions. Research methods cover IoT system design, sensor configuration and calibration, data acquisition, and user notification development. The results show that this smart monitoring system enhances early detection and targeted pest control, helping reduce chemical usage and support sustainable palm oil production. Future recommendations include expanding this IoT framework with additional sensors and predictive analytics to improve integrated pest management strategies.