| Issue |
E3S Web Conf.
Volume 673, 2025
International Conference on Environmental Community for Sustainable Future (ICECOFFE 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Sustainable Community | |
| DOI | https://doi.org/10.1051/e3sconf/202567302009 | |
| Published online | 10 December 2025 | |
Beauty Education Innovations for Female Empowerment and Sustainable Beauty Industry Based on SDG 5 and SDG 8 Indicator
1 Cosmetology Education, Faculty of Engineering, Universitas Negeri Surabaya, Indonesia
2 Faculty of Vocational, Universitas Negeri Surabaya, Indonesia
3 Management Study Program, Universitas Negeri Surabaya, Indonesia
4 Department of Tourism, University of Utara Malaysia, Malaysia
* Corresponding author: dindymegasari@unesa.ac.id
The advent of information technology has provided the chance to innovate public services including beauty education that may contribute to community economic resilience. Through this, the study attempts to investigate the application of intelligent systems in beauty education, finds out challenges and solutions for application and outlines strategic courses towards empowerment and sustainable livelihoods. The methodological approach employs a literature review of empirical studies written between 2020 and 2025. Results demonstrate that in beauty education, smart systems are comprised of adaptive e-learning platforms, AI-based mobile apps to mimic makeup or skin care applications and data analytics driven learning management system. The main challenges are underdeveloped digital infrastructure, technological illiteracy, resistance to change; the solutions are trainings of trainings (to build cadres), multi-partner effort and local content. Strategic practice is needed in policy, industry and community consultation/engagement. This research contributes to theoretical and practical development for inclusive intelligent systems towards access vocational education and enhance the Indonesia's economic independence.
© The Authors, published by EDP Sciences, 2025
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.

