<![CDATA[Learning sensors, transducers, embedded systems, and the Internet of Things (IoT) requires laboratory media that allows students to observe relationships among input signals, microcontroller processing, output responses, and network communication in one system. This study develops EMBEDSENSE, an integrated microcontroller trainer for the Sensor and Transducer course, and verifies its initial functional performance. The study uses Research and Development (R&D) with the ADDIE model and reports the Analysis, Design, and Development stages. EMBEDSENSE integrates Arduino Uno, Arduino Nano, NodeMCU ESP8266, DHT11, LDR, HC-SR04, LCD 16×2 I2C, relay, LEDs, buzzer, input-output terminals, and a power supply. Hardware assembly reached 100%, while the draft module and jobsheets reached approximately 85% and contained six progressive experiments. Internal testing showed that the sensor, display, and actuator groups operated according to their basic functions. The ESP8266 also established network communication, although connection stability required software and transmission-interval optimization. The prototype is ready for expert validation and limited user testing; feasibility, practicality, sensor accuracy, and learning effectiveness are not claimed at this stage.]]>
Copyrights © 2026
