Motor listrik memiliki peran penting dalam proses pembelajaran praktikum di Laboratorium Mesin Listrik, di mana kinerjanya sangat vital untuk kelancaran pembelajaran. Salah satu faktor yang memengaruhi kinerja motor listrik adalah temperatur. Penelitian ini bertujuan untuk merancang sistem monitoring temperatur berbasis Internet of Things (IoT) pada motor AC, dengan fokus pada tiga jenis motor: motor induksi 1 fasa, motor induksi 3 fasa, dan motor sinkron. Pengujian dilakukan dengan mengukur parameter temperatur menggunakan platform dan thermogun untuk perbandingan nilai akurasi, serta mengukur kecepatan, arus, dan tegangan dalam variasi beban dan operasi intermiten untuk mengevaluasi kinerja motor AC. Hasil pengukuran menunjukkan nilai akurasi yang sangat baik dimana motor induksi 1 fasa pada variasi beban 99,88% dan kondisi off-Running 99,76%, motor induksi 3 fasa pada variasi beban 99,93% dan kondisi off-Running 99,81%, serta motor sinkron pada variasi beban 99,87% dan kondisi off-Running 99,80%. Dengan demikian, sistem monitoring temperatur berbasis IoT untuk motor AC menunjukkan kinerja yang sangat baik.

Electric motors have an important role in the practicum learning process in the Electrical Machine Laboratory, where their performance is vital for smooth learning. One of the factors that affect the performance of electric motors is temperature. This research aims to design an Internet of Things (IoT)-based temperature monitoring system for AC motors, focusing on three types of motors: 1-phase induction motor, 3-phase induction motor, and synchronous motor. Tests were conducted by measuring temperature parameters using the platform and a thermogun to compare accuracy values, as well as measuring speed, current, and voltage under varying loads and intermittent operation to evaluate the performance of the AC motor. The measurement results show excellent accuracy values where the 1-phase induction motor under load variation is 99.88% and off condition is 99.76%, the 3-phase induction motor under load variation is 99.93% and off condition is 99.81%, and the synchronous motor under load variation is 99.87% and off condition is 99.80%. Thus, the IoT-based temperature monitoring system for AC motors shows excellent performance.