<![CDATA[Monitoring intravenous (IV) fluid conditions is an important activity in healthcare services to support patient safety and effective treatment. At Aminullah Primary Clinic, monitoring is still performed manually through periodic checks by medical staff, meaning that information about IV fluid conditions is not available in real time. This study aims to analyze user and system requirements and develop a prototype of an Internet of Things (IoT)-based IV fluid condition detection system. The study employed a qualitative method using a prototype development model. Data were collected through observation and interviews and analyzed using the PIECES framework, covering Performance, Information, Economy, Control, Efficiency, and Service. The findings indicate a need for automatic, real-time monitoring, notifications and alarms, and a web-based monitoring platform. Based on these requirements, the prototype integrates an ESP32, Load Cell, HX711, infrared sensor, LCD, buzzer, Wi-Fi communication, database, and monitoring website. The system is designed to help medical staff access information about IV fluid conditions more quickly and conveniently. This prototype provides an initial solution for improving monitoring effectiveness and supporting the development of more integrated healthcare services. Further testing is required to evaluate the system's accuracy, reliability, and performance under actual clinical service conditions.]]>
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