Deep Learning Approach in Beauty Education: Strengthening Employability Skills for Sustainable Professional Development

Sri Usodoningtyas (Universitas Negeri Surabaya)
Ekohariadi Ekohariadi (Universitas Negeri Surabaya)
Maspiyah Maspiyah (Universitas Negeri Surabaya)
Luthfiyah Nurlaela (Universitas Negeri Surabaya)
Tri Wrahatnolo (Universitas Negeri Surabaya)
Ratna Suhartini (Universitas Negeri Surabaya)

East Asian Journal of Multidisciplinary Research (EAJMR)
Vol. 5 No. 6 (2026): June 2026

This study aimed to examine the implementation of the Deep Learning approach in Beauty Education and its contribution to strengthening employability skills for sustainable professional development. A quantitative approach using a quasi-experimental pretest–posttest control group design was employed. The findings revealed that the experimental group showed a significant increase in employability skill scores from 68.42 to 86.31, while the control group improved from 67.95 to 74.28. Statistical analysis using paired sample and independent sample t-tests demonstrated significant differences between both groups (p < 0.05). The study found that the Deep Learning approach significantly improved students’ communication, critical thinking, collaboration, adaptability, and professional responsibility through authentic and reflective learning experiences.