Surabaya — A new study has found that the Deep Learning approach significantly improves employability skills among beauty education students. The study, conducted by Sri Usodoningtyas, Ekohariadi, Maspiyah, Luthfiyah Nurlaela, Tri Wrahatnolo, and Ratna Suhartini from Universitas Negeri Surabaya, was published in the East Asian Journal of Multidisciplinary Research in 2026. The findings highlight the growing importance of combining technical skills with communication, critical thinking, and adaptability in the beauty industry.
The global beauty industry has evolved rapidly in recent years. It now extends beyond traditional cosmetic services into digital marketing, online consultations, artificial intelligence, and customer-centered data systems. This transformation has changed the type of competencies expected from beauty graduates.
Today, vocational beauty students are expected not only to master makeup techniques but also to communicate effectively, solve problems, collaborate in teams, and adapt to changing beauty trends.
However, according to Sri Usodoningtyas and her team at Universitas Negeri Surabaya, many beauty education programs still rely heavily on conventional teaching methods focused on repetitive technical procedures. Such methods often limit students to memorizing steps without understanding the broader professional context.
To address this challenge, the researchers introduced a Deep Learning approach. This method encourages reflective learning, active discussions, authentic problem-solving, and stronger integration between theory and practice.
The study involved 60 undergraduate students in the Beauty Education Program. They were divided into two groups: 30 students in the experimental group using the Deep Learning model and 30 students in the control group using conventional teaching methods. Both groups were assessed through pretests and posttests over one semester.
The results showed a significant difference. The experimental group’s employability skill score increased from 68.42 to 86.31, while the control group improved only from 67.95 to 74.28.
The strongest improvements were found in communication skills and critical thinking. Students became more confident in explaining makeup concepts, presenting their projects, and responding to client needs professionally.
In practical bridal makeup sessions, students no longer simply copied lecturer demonstrations. Instead, they adapted makeup designs based on skin conditions, cultural themes, and client preferences. This reflects stronger analytical and problem-solving abilities.
Teamwork also improved significantly. Group discussions, collaborative beauty projects, and peer feedback sessions helped students learn to negotiate ideas, divide responsibilities, and work more professionally as a team.
The researchers also observed improvements in professional responsibility and adaptability. Students became more disciplined, punctual, accountable, and flexible when facing unexpected challenges during practical sessions.
These findings are highly relevant to the beauty industry, where employers increasingly prioritize soft skills alongside technical expertise. Companies today need professionals who can communicate with clients, adapt quickly, and solve practical challenges creatively.
For education institutions, this study suggests that integrating Deep Learning into vocational beauty programs can better prepare graduates for sustainable careers. It also aligns with the global Sustainable Development Goals, particularly quality education and decent work.
The study sends a clear message: technical mastery remains essential, but long-term success in the beauty industry depends equally on critical thinking, communication, and adaptability.
0 Komentar