International Journal of Engineering and Information Systems (IJEAIS)   Year: 2022 | Volume: 6 | Issue: 10 | Page No.: 5-11 Implementation of Exponential Moving Average Filter in DC Motor Speed Reading for Smart Wheelchair Movement Download PDF Muhammad Iqbal Andreansyah, Sumardi Abstract: In controlling the speed of the wheelchair, a speed sensor is needed to read the speed of the wheelchair. The speed sensor used in this research is the encoder sensor. In the speed reading using the encoder sensor directly there is noise generated so that the speed reading is less accurate. Various methods are used to overcome noise so that the system can provide better output quality. Good output quality has a significant impact on the measurement or reading of the data carried out, especially in sensor readings using a microcontroller to take measurements or reading signals mixed with noise. Therefore, the purpose of this research is to reduce the noise that occurs in every reading of the encoder sensor value on the microcontroller so that the motor speed reading on the wheelchair can be better. The method used to reduce noise on speed readings with an encoder sensor using the Arduino Mega2560 microcontroller is the exponential moving average (EMA) method or the exponential smoothing method (Exponential Smoothing). The results of motor speed readings can be refined using an EMA filter with ? value of 0.1 with a sampling frequency of 0.05 seconds.