<![CDATA[Abstract—Conventional egg incubation still faces challenges such as unstable temperature and humidity, manual egg turning, and limitations in continuously monitoring incubator conditions. These conditions can increase the monitoring burden and affect the stability of the incubation process. This study aims to develop a semi-automatic Smart Egg Incubator based on the Internet of Things (IoT) to perform real-time temperature and humidity monitoring, automatic egg turning, and a smart notification system for changes in incubation conditions. The research method employs a Research and Development approach with a prototyping methodology, including needs assessment, system design, hardware and software implementation, and functional testing using black-box testing. The system was developed using an ESP32, a DHT22 sensor, a heater, a DC fan, a servo motor, and an IoT platform as the data communication medium. Test results showed that the monitoring, temperature control, automatic egg turning, data communication, and notification functions operated as designed in the conducted test scenarios. The contribution of this research lies in the integration of real-time incubation condition monitoring, automatic egg turning, and smart notifications into a single semi-automatic IoT-based prototype. This integration provides a more practical and responsive alternative to manual monitoring and supports the development of more efficient egg-hatching systems.Keywords: Internet of Things; Smart Egg Incubator; ESP32; Real-Time Monitoring; Automatic Egg Turner; Notification System. Translated with DeepL.com (free version)]]>
