RANCANG BANGUN POT TANAMAN CERDAS BERBASIS IOT “URBANGROW” UNTUK PERTANIAN URBAN BERKELANJUTAN

Abstract

This study aims to design and evaluate an IoT-based smart plant pot system called UrbanGrow to support sustainable urban farming in limited residential areas. The system integrates an ESP32 microcontroller, soil moisture sensor, DHT22 temperature and humidity sensor, and water level sensor to enable automatic irrigation based on real-time environmental conditions. The development process followed the SDLC prototyping method, consisting of requirement gathering, quick design, prototype development, user evaluation, and refinement stages. Data were collected through observation, black-box functionality testing, usability questionnaires, and user interviews. Usability evaluation was conducted using Nielsen’s five indicators: learnability, efficiency, memorability, errors, and satisfaction. The results show that the UrbanGrow system operates reliably in monitoring soil and environmental conditions and can automatically control irrigation according to plant needs. Users perceived the system as easy to use, helpful in reducing manual plant maintenance, and suitable for household-scale urban farming. This study demonstrates that low-cost IoT-based smart planting systems can improve water efficiency and promote sustainable urban agriculture practices aligned with the Sustainable Development Goals (SDGs).

Keywords: IoT, smart farming, urban agriculture, automatic irrigation, usability