Endang Susantini, Y. Yuliani, Dwi Setyo Pratiwi, Nur Kuswanti, Susanti Indah Perwitasar, Muhammad Aamir Nashrullah, Marlina Ali, Mohamad Hadi Ali Mutamam
This study aimed to develop a smart, sensor-driven microgreen cultivation system aligned with the Sustainable Development Goals (SDGs). Using the ADDIE model, including Analysis, Design, Development, Implementation, and Evaluation, the research integrated scientific inquiry, engineering design, and digital technology under a Science, Technology, Engineering, Arts, and Mathematics (STEAM) framework. The system used moisture and light sensors controlled by an ESP32 microcontroller. Results showed better microgreen growth compared to conventional methods. These improvements occurred because automation provided precise control over irrigation and lighting, optimizing conditions while minimizing water and energy use. Internet of Things (IoT) connectivity and the Message Queuing Telemetry Transport (MQTT) protocol enabled real-time data transmission and monitoring. This project supports SDG 2 (Zero Hunger), SDG 4 (Quality Education), SDG 12 (Responsible Consumption and Production), and SDG 13 (Climate Action). Overall, the system advances sustainability, enhances STEAM-based learning, and contributes to innovative, environmentally conscious agricultural practices. © School of Engineering, Taylor’s University.
Universitas Negeri Surabaya, Surabaya, Indonesia; Muhammadiyah 9 Junior High School, Bojonegoro, Indonesia; Universiti Teknologi Malaysia, Malaysia; Universitas Pendidikan Indonesia, Bandung, Indonesia
