<![CDATA[This study aims to develop an IoT-based prototype system for monitoring soil moisture and controlling irrigation in chili plants using the Blynk platform. The research employs a Research and Development (R&D) approach with a prototypedevelopment model. The system integrates a capacitive soil moisture sensor (Soil Moisture Sensor Capacitive V1.2) to measure soil moisture levels and automate irrigation decisions. The system's effectiveness was evaluated through 56 trials, achieving a 98.15% success rate, indicating high reliability in providing real-time soil moisture data. The usability assessment showed that all respondents rated the system positively, with functionality reaching 100% feasibility and usability rated at 86.3%, categorized as very good. However, further analysis is needed to validate the questionnaire used in usability testing and assess whether training is required for farmers to operate the system efficiently. In terms of reliability, the system recorded a 5% sensor accuracy deviation, highlighting the need for additional calibration and comparative testing with alternative sensors. Overall, this system has the potential to enhance agricultural productivity and optimize water usage, reducing dependence on manual irrigation. Future research should focus on improving system connectivity, refining sensor accuracy, and expanding the system's application to various crops and environmental conditions to promote sustainable and technology-driven farming practices.]]>
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