The Role of Machine Element Applications (MEA) as Interactive Mobile Learning to Support the Implementation of Distance Learning in Machine Element Course

The Role of Machine Element Applications (MEA) as Interactive Mobile Learning to Support the Implementation of Distance Learning in Machine Element Course

Machine Element Applications

interactive

mobile

learning

distance

media

The digital era has accelerated the development of educational media. This enables access to educational activities from any location at any time. Distance education is gaining popularity and flexibility in its implementation. The purpose of this study is to determine the role of MEA applications in machine element learning, specifically in the State University of Malang's D3 Mechanical Engineering Study Program. MEA is an interactive mobile learning platform designed to broaden D3 students' access to sources and learning tools. This is a quantitative descriptive study. The population of this study consisted of 40 students enrolled in D3 Mechanical Engineering at the State University of Malang. The data were gathered through literacy assessments, observations, interviews, and questionnaires. The tool is a questionnaire constructed on the basis of the Likert scale. Instrument testing included validity and reliability checks. The data analysis technique was descriptive analysis. Five conclusions have been drawn as a result of the analysis. First, the MEA application is 78.6% user-friendly. Second, the MEA application is easy to use for the machine element learning process in 82.1% of cases. Third, the MEA application assists the machine element learning process by 75%. Fourth, 89.3% of MEA application technology is suitable for distant education in the machine element course. Fifth, MEA applications improve machine element learning outcomes by 82.1%.

Nurmalasari, Riana

Marsono

Mahamad , Abd Kadir

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 05 (2022); pp. 216-223

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2022-03-08

Copyright (c) 2022 Riana, marsono, Dr. Kadir

https://creativecommons.org/licenses/by/4.0

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Non-refereed Article