<![CDATA[A washing machine is a crucial device for society as it offers convenience and practicality. However, the efficiency of a washing machine can decline over time, especially in its components which may experience performance degradation or damage. This research involves designing a damage detection tool for washing machines, structured as a trainer operated in simulation form, serving as a learning medium to better understand the systematic functioning of washing machines. This trainer module uses toggle button switches installed on each cable line to simulate various damage conditions. The sensor used in this trainer is the PZEM-004T, which detects the current, voltage, and power used by the AC (Alternating Current) motor. To measure the motor's RPM (Revolutions per Minute) speed, a proximity sensor utilizing the Hall effect principle is employed. The microcontroller used to process the data generated by the sensors is an Arduino Nano, with the data displayed on an LCD (Liquid Crystal Display). In this research, the results based on the PZEM-004T sensor testing showed it could measure voltage, current, and power with an error rate of 7.3% and a success rate of 92.7%. The proximity sensor could measure motor speed with an error rate of 3.4% and a success rate of 96.6%. The main challenge in the monitoring system was the real-time reading on the LCD screen frequently halting due to the long delay required to read the proximity Hall effect sensor values.]]>
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