Brand Strategy Training Using Artificial Intelligence to Improve Students’ Competence at SMKN 8 Pekanbaru

Authors

  • wenti abiyus bisnis digital
  • Ahmad Ade Irwanda Universitas Lancang Kuning

DOI:

https://doi.org/10.31849/tn2brm09

Keywords:

Brand Strategy, Artificial Intelligence, ChatGPT, SMKN 8 Pekanbaru

Abstract

Brand Strategy Training using Artificial Intelligence aims to equip students of SMKN 8 Pekanbaru with the ability to understand, design, and implement effective brand strategies in the digital era. The training materials cover the basic concepts of brand strategy, the importance of personal branding for vocational students, and the main elements in building a strong self-image. Participants are guided to learn how digital content, such as videos, visual designs, and promotional narratives, can be used to strengthen brand messages. In addition, they are introduced to examples of successful branding strategies in the industrial world that are relevant to their fields of expertise. This training also highlights the role and potential of Artificial Intelligence (AI) in supporting the development of modern brand strategies. Students learn to use AI tools such as ChatGPT to create promotional scripts, content ideas, and engaging and efficient brand communication plans. Through hands-on practice, discussions, and case studies, participants are expected to be able to integrate creativity with intelligent technology to create innovative, ethical, and market-oriented branding strategies for the future workforce. Thus, this activity encourages students to become creative, adaptive, and ready to compete in the digital-based industrial world.

References

Pratama, R. D. (2025). Peran artificial intelligence dalam strategi pemasaran: Tinjauan literatur sistematis. RIGGS: Journal of Artificial Intelligence and Digital Business. https://doi.org/10.31004/riggs.v4i3.1779

Yulianta, E. (2025). Kemampuan literasi digital dalam meningkatkan kompetensi siswa SMK. Jurnal Pendidikan UNIGA, 19(2). https://doi.org/10.52434/jpu.v19i2.42899

Setiawan, A., Yarmanto, E. S., & Kustiawan, I. (2025). Digital maturity models and instruments for vocational high schools in Indonesia. Jurnal Pendidikan Vokasi, 14(3). https://doi.org/10.21831/jpv.v14i3.72957

Trisnawati, W., Putra, R. E., & Balti, L. (2023). The impact of artificial intelligence in education toward 21st century skills: A literature review. PPSDP International Journal of Education, 2(2). https://doi.org/10.59175/pijed.v2i2.152

Aulia, D., Firman, F., & Harun, M. M. (2024). Modernization of education in the era of society 5.0. Jurnal Pendidikan Tambusai, 8(1). https://doi.org/10.31004/jptam.v8i1.13433

Arora, A., Bansal, S., Kandpal, C., Aswani, R., & Dwivedi, Y. K. (2021). Measuring social media influencer index–insights from Facebook, Twitter and Instagram. Journal of Retailing and Consumer Services, 49, 101–112. https://doi.org/10.1016/j.jretconser.2019.05.001

Chen, J., & Lee, J. (2023). Artificial intelligence in digital marketing: Enhancing customer experience and engagement. International Journal of Information Management, 69, 102633. https://doi.org/10.1016/j.ijinfomgt.2022.102633

Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.

Liu, H., & Shrum, L. J. (2022). Artificial intelligence and branding: The role of algorithmic decision-making in brand communication. Journal of Interactive Marketing, 57, 34–49. https://doi.org/10.1016/j.intmar.2021.08.004

Prasetyo, B., & Sutopo, A. (2021). Pemanfaatan artificial intelligence dalam dunia pendidikan: Peluang dan tantangan. Jurnal Teknologi Pendidikan, 9(2), 75–84. https://doi.org/10.21831/jtp.v9i2.41536

Rahman, A., & Handoko, L. (2022). Penguatan kompetensi digital siswa SMK melalui pelatihan konten kreatif berbasis teknologi. Jurnal Pengabdian Masyarakat Vokasi, 3(1), 45–54.

Downloads

Published

2026-07-18

How to Cite

Brand Strategy Training Using Artificial Intelligence to Improve Students’ Competence at SMKN 8 Pekanbaru. (2026). J-COSCIS : Journal of Computer Science Community Service, 6(2), 267-274. https://doi.org/10.31849/tn2brm09

Most read articles by the same author(s)