<![CDATA[Environmental monitoring in oyster mushroom (Pleurotus ostreatus) cultivation is still predominantly conducted manually, limiting rapid responses to environmental changes and reducing operational efficiency. This study aimed to develop and evaluate a real-time web-based dashboard capable of monitoring air quality (CO?) and light intensity in oyster mushroom cultivation environments using Internet of Things (IoT) technology. The system employed a three-layer architecture consisting of NodeMCU ESP32 sensor devices integrated with MQ135 and BH1750 sensors, an API-based communication and database layer, and a web-based visualization interface. System performance was evaluated through response-time testing, sensor accuracy assessment, and usability evaluation involving cultivation operators. The results demonstrated that the dashboard achieved low-latency visualization with an average response time of approximately 1.1 seconds, while sensor accuracy exceeded 98% for both CO? and light intensity measurements. Usability testing also indicated that the dashboard interface effectively supported environmental monitoring and operational decision-making. The study contributes theoretically to precision agriculture literature by integrating real-time environmental monitoring with user-centered visualization design and contributes practically by providing a scalable monitoring framework for smart mushroom cultivation systems. These findings indicate that web-based real-time dashboards can enhance operational efficiency, environmental awareness, and data-driven decision-making in precision agriculture.]]>
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