Development of IoT-Based and Project-Based Learning Human Machine Interface Learning Media to Improve Ability, Innovative Behavior, and Skill of Industrial 4.0 and Society 5.0 Students

Abstract

Background: Vocational high school students must learn new talents, innovative behaviors, and capacities to compete in the workforce in the industrial period 4.0 and society 5.0. This study aims to create a usable Trainer Kit based on the internet of things (MPHMI-B-IoT) for human-machine learning. Purpose: Development research is conducted using the ADDIE paradigm, which includes analysis, design, development, implementation, and evaluation processes to accomplish the purpose.

Methods: The study involved 64 students and 8 teachers from vocational high schools in East Java, Indonesia, who were proficient in electrical power engineering. Simple random sampling was used to select the sample. Validation sheets, teacher-student response surveys, observation sheets on the application of the learning phases, ability assessment tools, individual inventive behavior observation sheets, and skill observation sheets were used to collect the data. Descriptive statistical methods and the paired sample t-test were used to assess the data. Results: Based on the validity, applicability, and efficacy of the results, it can be concluded that MPHMI-B-IoT is a viable technology. Before and after adopting a project-based learning paradigm that uses MPHMI-B-IoT as a Trainer Kit, there are noticeable improvements in the students' abilities, individual inventive behavior, and skills. Teachers can consider these results as they work to improve student proficiency in the 4.0 and 5.0 eras.