Issue |
MATEC Web Conf.
Volume 197, 2018
The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|
|
---|---|---|
Article Number | 16002 | |
Number of page(s) | 6 | |
Section | Computer and Communication Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819716002 | |
Published online | 12 September 2018 |
Virtual gasoline engine based on augment reality for mechanical engineering education
1
Universitas Pendidikan Indonesia, Study Program of Technological and Vocational Education, Bandung, Indonesia
2
STMIK Pasim Sukabumi, Study Program of Information Engineering, Sukabumi, Indonesia
* Corresponding author: ade_gafar@upi.edu
This paper aims to create virtual gasoline engine based on Augment Reality which are used to study working principle of gasoline engine in mechanical engineering of higher education institution. The Application can help participants learn to understand the working principle of a gasoline engine with three-dimensional visualization (3D) through an android smartphone device. The current learning process is still using the practicum module and engine stand to carry out practicum activities, the method makes the participants learn bored in addition to having to share with other students because of limited time practicum that has been determined so that learning activities become less effective. Augmented Reality is a technological innovation that is currently developing where with the technology we can combine virtual objects into the real world directly with the form of three-dimensional (3D). The working principle of the gasoline engine will be presented using a three-dimensional multimedia visualization embedded in the application. The learning module consists of a didactic model and a form of learning. A special feature of this application is the use of three-dimensional visualization that can be operated via desktop computers and smartphones by utilizing the camera facility as a marker.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.