The objectives of this study were: (1) to develop Programmable Logic Controller (PLC) Based Electrical Machine Trainer Kit; and (2) to examine the performance of the developed trainer kit to be applied in the Electrical Engineering Practicesin the Department of Electrical Engineering Education at Faculty of Engineering, UniversitasNegeri Yogyakarta. The method used in this study was research and development by referring to the ADDIE model from Branch. The results of the study showed: (1) the size of the developed PLC-based Electrical Machine trainer kit for the bottom side and the back side were 44.1 cm x 100 cm and 92.7 cm x 100 cm respectively. It had a front tilt angle of 80°, a panel board made of acrylic, a body made of aluminum plate, and an installed PLC with the brand name of Zelio SR2.201FU; and (2) the PLC-based Electrical Machine trainer kit shows satisfactory performance, indicated by all of job descriptions can function properly as planned.

This study examines the level of effectiveness and efficiency of a sensor on the calculation of the rotational speed (RPM) of a DC motor, considering that the calculation of the rotational speed of an electric motor, both AC motors and DC motors, greatly influences the output of the system. the speed of motor rotation is very influential in several fields, such as power generation, which will affect the output voltage that will be generated. There are many methods for measuring the rotational speed of a motor, including using an inductive proximity sensor and a rotary encoder combined with a PLC as a control center and data processor so that the rotational speed can be read. the output of the proximity sensor and rotary encoder will be connected to the PLC input pin so that data will appear in the form of a pulse value which can be seen in the program that has been made. The data obtained will be processed in a program that uses special instructions, namely PRV. In comparison, the speed of a dc motor will be changed using a PWM module or pulse width modulation to adjust the rotational speed of the motor. From the results of experiments that have been carried out using the proximity sensor, it gives an average motor speed reading of 6420 Rpm with an error of -10.3, and experiments carried out using a rotary encoder give an average motor speed reading of 6409.3 Rpm with an error of 0.4 so that it can be concluded that the use of a rotary encoder is more accurate than the use of a proximity sensor to calculate motor speed.