Dino Dwi Aryanto, Sukir
Development of automated sorting to investigate, develop, and implement technological solutions that combine elements such as machinery, hardware, software, and automated controls to improve accuracy in the sorting process. The development of an automatic sorting machine is carried out, namely sorting or selecting goods objects based on the material and color of the objects. Transfer of goods is carried out using electro-pneumatic components which are controlled by PLC, can be monitored by HMI and all sorted goods data will be stored through the SCADA system. Sorting is classified into 3 groups, namely blue metal objects, blue non-metallic objects, and green non-metallic objects. To sort goods, 3 types of sensors are needed, namely inductive proximity sensors, fiber optical sensors, and infrared sensors. The controls used in the development of this tool use the CP1E Series PLC, HMI NB5Q TW00V, and the SCADA System, namely CXSupervisor. The results of the experiment were carried out 25 times with details of 8 colors of blue metal, 8 colors of blue non-metal, and 9 colors of green non-metal with the right accuracy. As well as the results of developing this tool include several points, namely the development of an automatic item sorting tool can reduce human involvement in the process thereby increasing production results, and by being able to identify and classify goods with higher accuracy than manual processes. © 2025 American Institute of Physics Inc.. All rights reserved.
Master Education Program of Electrical Engineering, Faculty of Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia