VIRTUAL LABORATORY FOR SUPPORTING COURSE OF INDUSTRIAL AUTOMATION

Aditya Tirta Pratama
Department of Industrial Engineering, Swiss German University
Indonesia
Daffa Harindah La Fanny Darwin
Department of Industrial Engineering, Swiss German University
Indonesia
Tanika Dewi Sofianti
Department of Industrial Engineering, Swiss German University
Indonesia

Abstract

Fast developments in industrial revolution 4.0 have necessities in a shifting of education. Lecturers in the industrial engineering department of Swiss German University are expected to bring technology-based innovation to achieve success in learning. Since the rise of the Covid-19 pandemic, where all activities are restricted by health protocol, the need for physical laboratory transformation into a virtual concept has increased. This research aims to analyse a virtual laboratory especially for supporting the learning activity of industrial automation. The virtual machine duplicates the real machine running in a simulated environment. Open-source software such as OpenPLC and Node-RED are used as tools for students to study and learn about industrial automation. A group of students did the final project by utilizing this virtual laboratory and then the final evaluation of course performance was carried out based on the students’ responses from the lecture assessment on the course of industrial automation. In addition, based on the user acceptance test of Node-RED training modules, 44.4% of participants consider good enough, another 44,4% consider great, and 11,1% of participants consider excellent. As a result, the virtual laboratory may effectively and efficiently support the knowledge transfer to the students.

Keywords
virtual laboratory; industrial automation; OpenPLC; SCADABR; Node-red
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