Enhancing Teacher and Student Competence Through CAD-Based Digital Pattern Making Training to Support Fashion Industry 4.0

https://doi.org/10.23960/jpm-ip.vol.4i.2.1097
Published: Oct 19, 2025

Abstract:

The rapid development of Fashion Industry 4.0 requires a digitally skilled workforce, particularly in fashion pattern making using Computer-Aided Design (CAD) software. Nevertheless, initial observations at SMK Negeri 8 Medan indicated that teachers and students are still limited to manual pattern-making practices, which are less relevant to the needs of business and industry. This study aimed to strengthen teacher and student competence through structured CAD-based digital pattern-making training. The training included the introduction of basic CAD tools, practical exercises in digital pattern construction, and pattern printing using a simple plotter. Twenty participants, consisting of teachers and students, were evaluated using pretests and posttests. The findings demonstrated a significant improvement in competence, with the average score increasing from 64.4 (pretest) to 81.1 (posttest). The average N-Gain score was 0.47, categorized as medium, reflecting the effectiveness of the training in enhancing digital skills. The highest improvement was achieved in the accuracy of constructing underarm and side-body lines, while modifications of home-wear patterns showed relatively lower progress. Overall, the program successfully improved the competence of both teachers and students, better preparing them to meet the demands of Fashion Industry 4.0, while also offering a replicable training model for other vocational schools.

Keywords:
1. CAD
2. Fashion 4.0
3. Digital Patterns
4. Fashion Design
Authors:
1 . Yudhistira Anggraini
Universitasw Negeri Medan
2 . Halimul Bahri
Universitasw Negeri Medan
3 . Adi Widarma
Universitasw Negeri Medan
4 . Ulfa Annida Damanik
Universitasw Negeri Medan
5 . Eka Rahma Dewi
Universitasw Negeri Medan
6 . Qothrun Nada Ma'ruf Batu Bara
Universitasw Negeri Medan
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How to Cite
Anggraini, Y., Bahri, H. ., Widarma, A., Annida Damanik, U., Rahma Dewi, E., & Ma’ruf Batu Bara, Q. N. . (2025). Enhancing Teacher and Student Competence Through CAD-Based Digital Pattern Making Training to Support Fashion Industry 4.0. Jurnal Pengabdian Masyarakat Ilmu Pendidikan, 4(2), 256–269. https://doi.org/10.23960/jpm-ip.vol.4i.2.1097
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Vol. 4 No. 2 (2025): September 2025
Articles
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References

    Bahri, H., Farihah, F., Ampera, D., Damanik, U. A., & Erni, E. (2024). Design of Computer Aided Design Based Teaching Materials to Improve the Quality of Men’s Fashion Pattern Drawing (pp. 36–49). https://doi.org/10.2991/978-2-38476-232-3_6

    Bertola, P., & Teunissen, J. (2018). Fashion 4.0. Innovating fashion industry through digital transformation. Research Journal of Textile and Apparel, 22(4), 352–369. https://doi.org/10.1108/RJTA-03-2018-0023.

    Burke, S., & Sinclair, R. (2015). Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) of Apparel and other Textile Products. In Textiles and Fashion (pp. 671–703). Elsevier. https://doi.org/10.1016/B978-1-84569-931-4.00027-1.

    Choi, K.-H. (2022). 3D dynamic fashion design development using digital technology and its potential in online platforms. Fashion and Textiles, 9(1), 9. https://doi.org/10.1186/s40691-021-00286-1.

    Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications.

    Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications.

    Guo, Z., Wong, W., Leung, S., & Li, M. (2011). Applications of artificial intelligence in the apparel industry: a review. Textile Research Journal, 81(18), 1871–1892. https://doi.org/10.1177/0040517511411968.

    Hattie, J. (2008). Visible Learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge. https://doi.org/10.4324/9780203887332.

    Jhala, P. B. (1991). Application of CAD/CAM in the Textile Industry. In CAD/CAM Robotics and Factories of the Future ’90 (pp. 317–322). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-58214-1_47.

    Jhanji, Y. (2018). Computer-aided design—garment designing and patternmaking. In Automation in Garment Manufacturing (pp. 253–290). Elsevier. https://doi.org/10.1016/B978-0-08-101211-6.00011-2.

    Jonassen, D. H., Peck, K. L., & Wilson, B. G. (1999). Learning with computer technology: A constructivist approach. Princeton, New Jersey: Merrill.

    Kirkwood, B. R., & Sterne, J. A. C. (2010). Essential Medical Statistics (2nd ed.). Wiley-Blackwell.

    Kulsum, U. (2020). Grading Women’s Clothing Patterns with the CAD Pattern System to Improve Student Learning Outcomes and Competencies. Journal of Education Technology, 4(2), 187. https://doi.org/10.23887/jet.v4i2.26205.

    Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863.

    Sugiyono. (2019). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif, dan R&D). Bandung: Alfabeta.

    Surniati Chalid, Nurhayati Tanjung, Yudhistira Anggraini, & Eka Rahma Dewi. (2022). Development of Media CAD Richpeace Grading System for The Making of Home Clothing Pattern in Fashion Education Study Program, Medan State University. International Journal of Innovative Technologies in Social Science, 4(36). https://doi.org/10.31435/rsglobal_ijitss/30122022/7933.

    Turner, R. J. (2007). Diffusion of Innovations, 5th edition,. Journal of Minimally Invasive Gynecology, 14(6), 776. https://doi.org/10.1016/j.jmig.2007.07.001.

    Yang, E. K., Kho, J. M., Moe, I., & Kim, M. L. (2024). Evolutionary design features of virtual fashion brand collections: a three-year analysis in the Metaverse era. International Journal of Fashion Design, Technology and Education, 1–15. https://doi.org/10.1080/17543266.2024.2426038.

    Zhang, Y., Zheng, Z., & Liu, L. (2024). Design Resource Deployment for Virtual Fitting Applications in the Era of Digital Fashion: An Analysis Based on Kano-QFD. Sage Open, 14(4). https://doi.org/10.1177/21582440241296627.

  1. Bahri, H., Farihah, F., Ampera, D., Damanik, U. A., & Erni, E. (2024). Design of Computer Aided Design Based Teaching Materials to Improve the Quality of Men’s Fashion Pattern Drawing (pp. 36–49). https://doi.org/10.2991/978-2-38476-232-3_6
  2. Bertola, P., & Teunissen, J. (2018). Fashion 4.0. Innovating fashion industry through digital transformation. Research Journal of Textile and Apparel, 22(4), 352–369. https://doi.org/10.1108/RJTA-03-2018-0023.
  3. Burke, S., & Sinclair, R. (2015). Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) of Apparel and other Textile Products. In Textiles and Fashion (pp. 671–703). Elsevier. https://doi.org/10.1016/B978-1-84569-931-4.00027-1.
  4. Choi, K.-H. (2022). 3D dynamic fashion design development using digital technology and its potential in online platforms. Fashion and Textiles, 9(1), 9. https://doi.org/10.1186/s40691-021-00286-1.
  5. Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). Sage Publications.
  6. Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). Sage Publications.
  7. Guo, Z., Wong, W., Leung, S., & Li, M. (2011). Applications of artificial intelligence in the apparel industry: a review. Textile Research Journal, 81(18), 1871–1892. https://doi.org/10.1177/0040517511411968.
  8. Hattie, J. (2008). Visible Learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge. https://doi.org/10.4324/9780203887332.
  9. Jhala, P. B. (1991). Application of CAD/CAM in the Textile Industry. In CAD/CAM Robotics and Factories of the Future ’90 (pp. 317–322). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-58214-1_47.
  10. Jhanji, Y. (2018). Computer-aided design—garment designing and patternmaking. In Automation in Garment Manufacturing (pp. 253–290). Elsevier. https://doi.org/10.1016/B978-0-08-101211-6.00011-2.
  11. Jonassen, D. H., Peck, K. L., & Wilson, B. G. (1999). Learning with computer technology: A constructivist approach. Princeton, New Jersey: Merrill.
  12. Kirkwood, B. R., & Sterne, J. A. C. (2010). Essential Medical Statistics (2nd ed.). Wiley-Blackwell.
  13. Kulsum, U. (2020). Grading Women’s Clothing Patterns with the CAD Pattern System to Improve Student Learning Outcomes and Competencies. Journal of Education Technology, 4(2), 187. https://doi.org/10.23887/jet.v4i2.26205.
  14. Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863.
  15. Sugiyono. (2019). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif, dan R&D). Bandung: Alfabeta.
  16. Surniati Chalid, Nurhayati Tanjung, Yudhistira Anggraini, & Eka Rahma Dewi. (2022). Development of Media CAD Richpeace Grading System for The Making of Home Clothing Pattern in Fashion Education Study Program, Medan State University. International Journal of Innovative Technologies in Social Science, 4(36). https://doi.org/10.31435/rsglobal_ijitss/30122022/7933.
  17. Turner, R. J. (2007). Diffusion of Innovations, 5th edition,. Journal of Minimally Invasive Gynecology, 14(6), 776. https://doi.org/10.1016/j.jmig.2007.07.001.
  18. Yang, E. K., Kho, J. M., Moe, I., & Kim, M. L. (2024). Evolutionary design features of virtual fashion brand collections: a three-year analysis in the Metaverse era. International Journal of Fashion Design, Technology and Education, 1–15. https://doi.org/10.1080/17543266.2024.2426038.
  19. Zhang, Y., Zheng, Z., & Liu, L. (2024). Design Resource Deployment for Virtual Fitting Applications in the Era of Digital Fashion: An Analysis Based on Kano-QFD. Sage Open, 14(4). https://doi.org/10.1177/21582440241296627.