| Issue |
SHS Web Conf.
Volume 197, 2024
6th International Conference on Arts and Design Education (ICADE 2023)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 5 | |
| Section | Optimizing Digital Literacy in Art Learning in Schools and Communities | |
| DOI | https://doi.org/10.1051/shsconf/202419703001 | |
| Published online | 06 September 2024 | |
Transformation from manual to digital: Artificial Intelligence in batik education for 5.0 society
1 Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi 229 Bandung, 40559, Indonesia
2 Politeknik Ibrahim Sultan, KM 10, Jl. Kong Kong, 81700, Pasir Gudang, Johor, Malaysia
3 Jabatan Reka Tekstil, University Technology MARA, Kp. Belukar 18500, Machang, Malaysia
* Corresponding author: farid.abdullah@upi.edu
The problem of transformation from manual to digital in Indonesia and Malaysia faces many obstacles. The phenomenon of society maintaining traditions or manuals is still very dominant, but solutions must be implemented. Education at the tertiary level studying batik in Indonesia and Malaysia is still very manual, based on ideas, cultural influences and the skills of the maker. The existence of artificial intelligence is not yet optimal in Society 5.0 which is very human-centered and supported by continuously developing technology such as Artificial Intelligence. Technological advances including artificial intelligence have been widely used, but there is still little in the creation of batik patterns. The method in this paper is conceptual and review based. The future direction from manual to digital transformation is that the support of Artificial Intelligence technology is very helpful and makes it easier for hu-mans to create new batik which can enrich Indonesian and Malaysian batik higher education.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.