Research Article
Implementation of Fuzzy Logic Algorithm on Robot Arm Sorting Goods Based on Weight and Color Using the Mamdani Method
@INPROCEEDINGS{10.4108/eai.11-10-2022.2326279, author={Sapta Nugraha and Nurfalinda Nurfalinda and Trisianto Nadapdap}, title={Implementation of Fuzzy Logic Algorithm on Robot Arm Sorting Goods Based on Weight and Color Using the Mamdani Method}, proceedings={Proceedings of the 1st International Conference on Sustainable Engineering Development and Technological Innovation, ICSEDTI 2022, 11-13 October 2022, Tanjungpinang, Indonesia}, publisher={EAI}, proceedings_a={ICSEDTI}, year={2023}, month={1}, keywords={arm robot fuzzy mamdani calibration sorting}, doi={10.4108/eai.11-10-2022.2326279} }- Sapta Nugraha
Nurfalinda Nurfalinda
Trisianto Nadapdap
Year: 2023
Implementation of Fuzzy Logic Algorithm on Robot Arm Sorting Goods Based on Weight and Color Using the Mamdani Method
ICSEDTI
EAI
DOI: 10.4108/eai.11-10-2022.2326279
Abstract
The development of goods sorting technology has used automatic control systems and robotic that work more effectively and save energy. Therefore, this research aimed to design a robot arm for sorting goods based on weight and color by implementing a fuzzy logic algorithm with the Mamdani method to simplify human work. The robot arm uses the MG995 servo, while weight and color use the Load Cell and TCS3200 sensors. The results showed that the Load Cell sensor calibration has the lowest and highest accuracy of 97.64% and 100%, respectively. The TCS3200 had the smallest and largest standard error of 0.163 and 2.468, which indicated that both sensors had good accuracy. Decision-making using the fuzzy logic algorithm Mamdani method was successfully implemented with 100% accuracy. Therefore, the robot arm can move goods in the box based on the fuzzy decision quality output.