Sugiyem Sugiyem; Afif Ghurub Bestari; Kapti Asiatun; Anita Volintia Dewi

doi:10.32503/cendekia.v8i2.9309

Sugiyem Sugiyem Universitas Negeri Yogyakarta
Afif Ghurub Bestari Universitas Negeri Yogyakarta
Kapti Asiatun Universitas Negeri Yogyakarta
Anita Volintia Dewi Universitas Negeri Yogyakarta

DOI: https://doi.org/10.32503/cendekia.v8i2.9309

Abstract

Guru tata busana di Sekolah Menengah Kejuruan (SMK) semakin dituntut untuk memiliki kompetensi desain digital berbasis kecerdasan buatan (AI), namun pelatihan yang mengintegrasikan sketsa manual, digitalisasi, dan AI generatif masih terbatas di Indonesia. Program pengabdian ini melatih sepuluh guru SMK Tata Busana se-Yogyakarta melalui tiga pertemuan terstruktur yang mencakup analisis brief desain, sketsa manual, digitalisasi, dan visualisasi berbasis AI menggunakan aplikasi Look AI, hingga menghasilkan portofolio desain. Metode pelatihan berupa demonstrasi dan praktik terbimbing, dengan setiap peserta mengisi Lembar Kerja Peserta (LKP) yang mendokumentasikan proses desainnya secara lengkap. Hasil kerja peserta dinilai menggunakan rubrik lima aspek, yaitu kesesuaian dengan brief, kreativitas desain, kualitas sketsa, kualitas prompt Look AI, dan kualitas visual & presentasi, dengan skala 1-4. Rata-rata skor peserta berkisar antara 2,8 hingga 3,8, yang menunjukkan tingkat kompetensi yang cukup baik, dengan capaian tertinggi pada peserta yang menyusun brief paling rinci, sejalan dengan kualitas prompt AI yang lebih baik. Peserta juga melaporkan peningkatan kemampuan pemecahan masalah melalui revisi prompt secara iteratif. Hasil pengabdian menunjukkan bahwa guru mencapai tingkat kompetensi yang cukup baik dalam desain busana digital berbasis AI setelah mengikuti pelatihan tersebut.

References

Af’idah, D. I., Handayani, S. F., Hidayattullah, M. F., Dairoh, & Solikhin, A. R. (2024). Peningkatan Pengetahuan Guru dan Siswa Jurusan Tata Busana Dalam Pemanfaatan Aplikasi Berbasis Kecerdasan Buatan. Dedikasi Sains Dan Teknologi Jurnal Pengabdian Masyarakat, 4(1), 23–34. https://doi.org/https://doi.org/10.47709/dst.v4i1.3847

An, H., & Park, M. (2026). AI tools and fashion design education : instructor perspectives on student challenges and design process tool support. Fashion and Textiles, 13(3). https://doi.org/10.1186/s40691-025-00452-9

Badran, A., Eid, L., Abozaied, H., & Nagy, N. (2021). Egypt’s ICT Reform: Adoption Decisions and Perspectives of Secondary School Teachers During COVID-19. AERA Open, 7(1), 1–25. https://doi.org/10.1177/23328584211042866

Cain, W. (2024). Prompting Change: Exploring Prompt Engineering in Large Language Model AI and Its Potential to Transform Education. TechTrends, 68(1), 47–57. https://doi.org/10.1007/s11528-023-00896-0

Hutson, J., & Cotroneo, P. (2023). Digital Commons @ Lindenwood University Generative AI tools in art education : Exploring prompt engineering and iterative processes for enhanced creativity Generative AI tools in art education : Exploring prompt engi- neering and iterative processes for e. Metaverse, 4(1). https://doi.org/10.54517/m.v4i1.2164

Int, P., Technol, J. E., Educ, H., Lee, D., & Palmer, E. (2025). Prompt engineering in higher education : a systematic review to help inform curricula. International Journal of Educational Technology in Higher Education, 7. https://doi.org/10.1186/s41239-025-00503-7

Khairulanwar, A. B., & Jamaludin, K. A. (2025). Artificial Intelligence in Fashion Design Education : A Phenomenological Exploration of Certificate-Level Learning. International Journal of Academic Research in Business & Social Sciences, 15(3), 313–331. https://doi.org/10.6007/IJARBSS/v15-i3/24604

Knoth, N., Tolzin, A., Janson, A., & Marco, J. (2024). Computers and Education : Artificial Intelligence AI literacy and its implications for prompt engineering strategies. Computers and Education: Artificial Intelligence, 6(December 2023), 100225. https://doi.org/10.1016/j.caeai.2024.100225

Kohli, J. K. (2025). Impact of Artificial Intelligence on Fashion Education for Future Jobs. Higher Education for the Future, 12(1), 114–128. https://doi.org/10.1177/23476311241284860

Korzynski, P., Mazurek, G., Krzypkowska, P., & Kurasiński, A. (2023). Artificial intelligence prompt engineering as a new digital competence : Analysis of generative AI technologies such as ChatGPT. Entrepreneurial Business and Economics Review (EBER), 11(3), 25–37. https://doi.org/10.15678/EBER.2023.110302

Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720. https://doi.org/https://doi.org/10.1016/j.acalib.2023.102720

Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3313831.3376727

Mandailina, V., Syaharuddin, S., & Abdillah, A. (2024). Pelatihan Penerapan Teknologi Artificial Intelligence untuk Meningkatkan Kompetensi Guru dalam Menyusun Perangkat Pembelajaran. Darma Diksani: Jurnal Pengabdian Ilmu Pendidikan, Sosial, Dan Humaniora, 4(1), 26–37. https://doi.org/10.29303/darmadiksani.v4i1.4928

Vartiainen, H., & Tedre, M. (2023). Using artificial intelligence in craft education: crafting with text-to-image generative models. Digital Creativity, 34(1), 1–21. https://doi.org/10.1080/14626268.2023.2174557

White, J., Fu, Q., Hays, S., Sandborn, M., Olea, C., Gilbert, H., Elnashar, A., Spencer-smith, J., & Schmidt, D. C. (2023). A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. ArXiv, 2302(11382). https://doi.org/10.48550/arXiv.2302.11382

Pelatihan Desain Busana Digital Berbasis AI: Evaluasi Kompetensi Guru SMK Tata Busana Yogyakarta

Abstract

References