Development of AI-Assisted Learning Videos For Occupational Health and Safety (OHS) In Cosmetology And Beauty Vocational Education
DOI:
https://doi.org/10.33394/jtp.v11i3.21342Keywords:
Animation Video, Artificial Intelligenc, Occupational Health and Safety, Cosmetology and Beauty Vocational Education, Video Learning MediaAbstract
This research addresses the low effectiveness of Occupational Health and Safety (OHS) learning in Cosmetology Education, where conventional lecture-based methods fail to realistically visualize occupational hazards in salon environments. Previous studies on OHS learning media in vocational education have primarily relied on conventional instructional videos or AI applications developed for other educational contexts, with limited attention to cosmetology-specific OHS instruction. Furthermore, no previous study has integrated multiple generative AI tools into a unified workflow for developing animated OHS learning media in cosmetology education. To address this gap, the study develops AI-assisted animated videos integrating multiple AI tools including ChatGPT, Veo Gemini, DeepSeek, JoggAI, Canva, and CapCut into a single OHS instructional media, representing the first multi-tool AI video developed specifically for cosmetology OHS contexts. This study uses the Research and Development method with the ADDIE model. Data were collected through expert validation sheets and student response questionnaires analyzed using descriptive percentage techniques. Validity results show an average score of 4.6 for material and 4.2 for media, both categorized as valid, while the practicality test with 18 students yielded a score of 4.76, categorized as highly practical. This AI-assisted animated video is therefore feasible and practical as a learning innovation for OHS in beauty vocational education, contributing to improved safety competence and more engaging instructional experiences for cosmetology students.
References
Agustin, E. W., Arso, S. P., & Denny, H. M. (2019). Identifying the Role of Stakeholders in Occupational Safety and Health of Beauty Salon Businesses in Semarang Regency. Jurnal Kesehatan Masyarakat, 15(1), 131–140. https://doi.org/10.15294/kemas.v15i1.19781
Akinlade, A., Odunayo, O., Adenugba, A., Ademola, S., Obadimu, O., Oluwatosin, O., Ali, A., & Tosin, E. (2025). Generality of Technical and Vocational Training Program (TVET) in All Professions. World Journal of Economics, Business and Management, 2(5), 24–32.
Barasa, L., Kuntadi, C., Gunawan Malau, A., Herawati, S., Ari Wibowo, T., & Bernadtua Simanjuntak, M. (2025). A Qualitative Analysis and Systematic Literature Review on Enhancing Maritime Vocational Education. Action Research Journal (ARJ), 2(1), 12–28.
Burke, M. J., Ann Sarpy, S., Smith-Crowe, K., Chan-Serafin, S., Salvador, R. O., & Islam, G. (2006). Relative Effectiveness of Worker Safety and Health Training Methods. American Journal of Public Health Public Health, 96(2), 315–324. https://doi.org/10.2105/AJPH
Febriansyah, M. I., Fauzi, I., Zawawi, M. I., Imron Fauzi, & M. Ilmil Zawawi. (2026). Penerapan Vidio Animasi Berbasis AI Untuk Meningkatkan Pembelajaran Siswa Kelas 2 MI Miftahul Ulum Kranjingan Jember. Edukasi Elita : Jurnal Inovasi Pendidikan, 3(1), 01–10. https://doi.org/10.62383/edukasi.v3i1.2647
Hakim, S., & MA, A.-H. (2019). Occupational Health Risks of Hairdressers: Knowledge, Practice and Self-Reported Symptoms. Egyptian Journal of Occupational Medicine, 43, 161–174. https://doi.org/10.21608/ejom.2019.25131
Lajčin, D., Gabrhelová, G., Barnová, S., Krásna, S., & Geršicová, Z. (2026). AI and Its Use in Educating Students in Occupational Health and Safety (OHS) within the Dual VET System in Slovakia. R&E-Source, 13(Special Issue 1), 183–188. https://doi.org/10.53349/re-source.2026.is1.a1538
Lestarina, A. A., & Puspasari, D. (2026). Analysis of Vocational High School Students’ Learning Styles in the Implementation of the Merdeka Curriculum. Southeast Asian Journal of Global Trends and Issues in Education, 2(1), 1–12. https://doi.org/10.64420/sajgtie.v2i1
Mandalika, M., & Syahril, S. (2020). Pengembangan Media Pembelajaran Berbasis Video Tutorial untuk Meningkatkan Efektifitas Pembelajaran Pada Mata Kuliah Tata Rias. INVOTEK: Jurnal Inovasi Vokasional Dan Teknologi, 2(1). http://repository.unp.ac.id/id/eprint/26595
Mariyah, S., Gunawan, W., & Nurjati, N. (2025). Development of Artificial Intelligence-Based Digital Video Media with the Addie Model for Intrinsic Elements of Short Stories. Jurnal Teknologi Pendidikan : Jurnal Penelitian Dan Pengembangan Pembelajaran, 10(4), 799–810. https://doi.org/10.33394/jtp.v10i4.18237
Mayer, A. S., Brazile, W. J., Erb, S., Autenrieth, D. A., Serrano, K., & Van Dyke, M. V. (2015). Developing Effective Worker Health and Safety Training Materials: Hazard Awareness, Identification, Recognition, and Control for the Salon Industry. Journal of Occupational and Environmental Medicine, 57(5). https://journals.lww.com/joem/fulltext/2015/05000/developing_effective_worker_health_and_safety.9.aspx
Olsson, A. C., Xu, Y., Schüz, J., Vlaanderen, J., Kromhout, H., Vermeulen, R., Peters, S., Stücker, I., Guida, F., Brüske, I., Wichmann, H. E., Consonni, D., Landi, M. T., Caporaso, N., Tse, L. A., Yu, I. T. S., Siemiatycki, J., Richardson, L., Mirabelli, D., … Straif, K. (2013). Lung cancer risk among hairdressers: A pooled analysis of case-control studies conducted between 1985 and 2010. American Journal of Epidemiology, 178(9), 1355–1365. https://doi.org/10.1093/aje/kwt119
Pratama, K. R., Nafi’a, M. Z. I., & Romadhon, M. I. (2025). Eksplorasi Potensi Animasi Berbasis Kecerdasan Buatan (AI Animation) sebagai Media Pembelajaran Adaptif. Jurnal Informatika Dan Teknologi Pendidikan, 5(2), 177–188. https://doi.org/10.59395/jitp.v5i2.165
Putri, I. A., N, Z., Syamsunir, S., & Ferdiansyah, H. (2026). Validitas dan Praktikalitas Video Pembelajaran Berbantuan Web Doratoon pada Materi Seni Teater. Education and Learning Jounral, 5(2), 42–48. https://anthor.org/index.php/anthor
Rehman, A., Hassan, M. U., Zubair, M. U., Aziz, T., & Ahmed, K. (2025). A Framework For Effective Construction Workers Safety Training Using Flipped Learning. Journal of Civil Engineering and Management, 31(3), 206–223. https://doi.org/10.3846/jcem.2025.23083
Saifuddin, T., Dilshad, W. Bin, Afzal, A., & Parveen, A. (2025). Behavioral Manifestations of The Digital Native and Exploratory Study of Gen Alpha in The Primary Classroom. TPM (Testing, Psychometrics, Methodology in Applied Psychology), 32(3), 2025. https://www.tpmap.org/
Sari, M., Sari, M., Sri Anum, D., Humairah Afkar, A., Atun Niha, S., Nadia, S., Rahayu, S., Sundari, A., & Maulani Zahro, N. (2025). Development of AI-Assisted Animated Video Learning Media to Improve the Critical Thinking Skills of Grade IV Students in Elementary Schools. Global Education Journal, 3(3), 173–178. https://doi.org/10.59525/gej.v3i3.1193
Sari, Z. N., Yafie, E., Alfan, M., Gemael, Q. A., & Fajar Kusuma, P. W. (2025). Development of Artificial Intelligence-Based Learning Media Using Powtoon Animation with a Joyful Learning Approach to Support PPL Activities for Pre-service PPG Students. Jurnal Pendidikan: Teori, Penelitian, Dan Pengembangan, 10(11), 466–476. https://doi.org/10.17977/2502-471X.1096
Sutanto, A. R., & Af’idah, N. (2025). Pengembangan Media Video Animasi Pembelajaran Berbantuan Artificial Intelligence dan Canva pada Materi Suhu dan Kalor Kelas VII. Journal of Basic Educational Studies, 5(3), 1563.
Tsigonia, A., Tanagra, D., Linos, A., Merekoulias, G., & Alexopoulos, E. C. (2009). Musculoskeletal Disorders Among Cosmetologists. International Journal of Environmental Research and Public Health, 6(12), 2967–2979. https://doi.org/10.3390/ijerph6122967
Yupelmi, M., Ambiyar, Nizwardi Jalinus, Chairani, V. S., Suci, P. H., & Saputra, I. (2024). Enhancing Theatrical Makeup Competency through Project-Based Learning, Tutorial Videos, and Adaptive Learning Styles. Journal for Lesson and Learning Studies, 7(1), 69–80. https://doi.org/10.23887/jlls.v7i1.70098
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Copyright (c) 2026 Vici Syahril Chairani, Lativa Mursyida, Rima Agustia Utami, Febri Silvia; Rahmi Fadilah, Riski Gusri Utami; Rahmi Oktarina, Tyas Asih Surya Mentari

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