Increase Layer Technique Hair Cutting with Augmented Reality Media
- DOI
- 10.2991/978-2-38476-198-2_17How to use a DOI?
- Keywords
- Increase Layer; Hair Cutting; Augmented Reality
- Abstract
Augmented reality learning media is a learning media that adds real reality in the world with virtual objects in the form of 3 dimensions. Trimming the increase layer technique is a haircut that uses an angle lift > 90°. Augmented reality learning media in the sub-competence of technical hair cutting increase layer by adding 3-dimensional virtual objects that are like real objects (mannequins) at the time apply haircut increase layer technique. The purpose of the research is to know the quality media and the feasibility of an augmented reality learning media in the hair cutting sub-competence increase layer technique. This type of research is pre-experimental research with the research design “The One-Shot Case Study Design”. The subjects of this study were 30 observers. Collecting research data with using the instrument in the form of a questionnaire. Data analysis techniques use the average. Media feasibility results learning has a very decent value category with an average value of 3.43.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nia Kusstianti AU - Linda Amelia AU - Arita Puspitorini AU - Octaverina Kecvara Pritasari PY - 2024 DA - 2024/02/06 TI - Increase Layer Technique Hair Cutting with Augmented Reality Media BT - Proceedings of the 5th Vocational Education International Conference (VEIC-5 2023) PB - Atlantis Press SP - 131 EP - 136 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-198-2_17 DO - 10.2991/978-2-38476-198-2_17 ID - Kusstianti2024 ER -