DEVELOP NODERED TRAINING MODULE FOR INDUSTRIAL AUTOMATION

Abstract

Node-RED is a programming tool that can be operated inside a browser that uses nodes to create graphical flows. The problem in this thesis is the rise of e-learning in education institutions especially in industrial automation and to show the chance of learning IoT with Node-RED. The purpose of this research is to develop a training module towards industrial automations by using a Node-RED. By that means, to know how the digitization process called Node-RED works is by developing a training module regarding the practicality of IoT by using Node-RED. Thus, to create the training module regarding the practical works of IoT in the platform of Node-RED, this thesis project uses one of the models in lean tools called ADDIE framework methodology to develop the training module followed by Flip Classroom method to deliver the learning content from the developed training module. After defining the training module to the Node-RED, the design of the training module will be created following development through ADDIE. Therefore, the proper materials that will fit the training will be provided. While the proper material has been provided, then the implementation of the training will begin followed by 9 participants for the User Acceptance Test. The four out of nine (44,4%) consider good, another four (44,4%) consider great, and one out of nine (11,1%) consider excellent.