Data-Based Vocational Education Planning: A Strategic Approach Towards Future Readiness

Ayi Najmul Hidayat; Ilfi Johar Nafisah; Cep Agung  Muharam; Narkum

doi:10.59890/ijatss.v3i5.17

Authors

Ayi Najmul Hidayat Universitasi Islam Nusantara
Ilfi Johar Nafisah STAI Asshiddiqiyah
Cep Agung Muharam STAI Baitul Arqom Al Islami
Narkum STAI DR. KH. EZ. Muttaqien

DOI:

https://doi.org/10.59890/ijatss.v3i5.17

Keywords:

Vocational Education, Data-Driven, Strategic Planning, Future Readiness

Abstract

Vocational education in the digital era faces increasingly complex challenges along with the increasing demands of the industrial world for digital technology-based skills and data analysis. Currently, many vocational education institutions still use conventional curriculum planning approaches that are not data-based, resulting in a gap between graduate skills and industry needs (Ahmad & Surya, 2022). The research method used is a mixed method, which combines a quantitative approach through surveys of students, teachers, and vocational program managers, and a qualitative approach through in-depth interviews with local industry representatives. The results of the study show that most students and teachers are aware of the importance of digital technology-based skills, but their implementation is still limited due to the lack of industry needs data used in curriculum planning. Based on these findings, this study proposes a data-based vocational education planning strategy that involves collecting periodic industry needs data, compiling a data-based curriculum, and evaluating education programs through graduate outcome data. This strategy is expected to be the basis for developing a more adaptive and responsive vocational education planning model to future industry needs. The results of the study indicate that most students and teachers are aware of the importance of digital technology-based skills, but their implementation is still limited due to the lack of industry needs data used in curriculum planning. Based on these findings, this study proposes a data-based vocational education planning strategy that involves collecting periodic industry needs data, compiling a data-based curriculum, and evaluating education programs through graduate outcome data

References

Ahmad, I., & Surya, H. (2022). Perencanaan berbasis data dalam pendidikan vokasi di era digital. Jurnal Pendidikan Vokasi, 12(1), 34–50.

Ahmad, R., & Surya, D. (2022). Menjembatani Pendidikan dan Industri: Kurikulum Vokasi Berbasis Data. Jakarta: Pustaka Nusantara.

Arikunto, S. (2021). Prosedur penelitian: Suatu pendekatan praktik (Revisi). Jakarta: Rineka Cipta.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (Edisi ke-3). California: Sage Publications.

International Labour Organization. (2019). Work for a Brighter Future: Global Commission on the Future of Work. Geneva: ILO.

Johnson, R. B., & Onwuegbuzie, A. J. (2019). Mixed methods research: A research paradigm whose time has come. International Journal of Social Research Methodology, 22(2), 221–235.

Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Republik Indonesia. (2023). Peta Jalan Pendidikan Vokasi 2023–2030. Jakarta: Kemdikbudristek.

Kim, H., & Han, S. (2023). Digital skills training and industry collaboration in vocational education: A case study from Korea. Asian Journal of Educational Development, 10(1), 15–29.

Kim, Y., & Han, J. (2023). Data-driven vocational education: Impacts on employment in South Korea. Asian Journal of Vocational Studies, 15(1), 23–35.

Lee, D., & Park, E. (2023). Industry-education partnership in vocational training: A data-driven approach. International Journal of Vocational Education and Training, 15(4), 120–137.

Miller, A. (2019). Data analytics for educational planning. Journal of Data-Driven Education, 5(3), 45–58.

Miller, T. (2019). Big data and education policy: Rethinking accountability. Journal of Educational Technology, 8(2), 17–28.

Mulyadi, S. (2023). Penerapan pendidikan vokasi berbasis industri dalam mengembangkan keterampilan digital. Jurnal Pendidikan Teknologi dan Kejuruan, 11(2), 99–112.

OECD. (2021). The OECD Skills Outlook 2021: Learning for Life. Paris: OECD Publishing.

Prasetyo, A. (2024). Strategi perencanaan kurikulum SMK berbasis permintaan pasar. Jurnal Manajemen Pendidikan, 18(1), 33–48.

Smith, J., & Johnson, K. (2020). Integrating digital literacy into vocational curricula. International Journal of Vocational and Technical Education, 8(2), 22–36.

Sugiyono. (2020). Metode penelitian kuantitatif, kualitatif, dan R & D. Bandung: Alfabeta.

UNESCO. (2022). Strategy for Technical and Vocational Education and Training 2022–2029. Paris: UNESCO.

Wijaya, W. (2021). Kolaborasi dunia industri dalam pengembangan pendidikan vokasi di Indonesia. Jurnal Pendidikan Vokasi, 9(3), 56–70.

Wijaya, T. (2021). Implementasi pendekatan data-driven di SMK berbasis industri: Studi kasus sektor otomotif. Jurnal Pendidikan Teknologi dan Kejuruan, 19(2), 66–80.

World Bank. (2021). World Development Report 2021: Data for Better Lives. Washington, DC: World Bank.

World Economic Forum. (2023). The Future of Jobs Report 2023. Geneva: World Economic Forum.

Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (Edisi ke-6). Thousand Oaks, CA: Sage Publications.