<![CDATA[Vertical jump measurement is commonly used to assess lower-limb muscle power in athletes. However, at the Sports Laboratory School (SELABORA), Universitas Negeri Yogyakarta (UNY), the measurement is still performed conventionally and is not integrated with automated data processing. This study aimed to develop a sensor-based vertical jump measurement device with Bluetooth connectivity that can automatically measure jump height, estimate lower-limb muscle power using the Sayers Equation, and display the results in real time. The study employed a Research and Development (RD) approach comprising needs identification, hardware and software design, system implementation, functional testing, and data collection. The device integrates an Arduino Mega 2560 R3 as the main controller, TTP223 capacitive sensors to detect standing and maximum reach, a VL53L0X distance sensor for measurement validation, an HC-05 Bluetooth module for wireless communication, a 204 LCD, and an MIT App Inventor-based application to receive data, calculate Peak Power, and store measurement history. The results showed that all components functioned as designed. The TTP223 sensors detected reach points accurately, the VL53L0X sensor supported data validation, and the Arduino converted sensor readings into vertical jump values and transmitted them to the application in real time. The application also calculated lower-limb power estimates, displayed result categories, and stored the results. Testing with 10 respondents confirmed that the system functions operated properly, indicating that the device is suitable for automated vertical jump measurement and lower-limb power evaluation.]]>
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