Pemanfaatan Google Teachable Machine untuk Pembelajaran Deep Learning di SMK

Purwanto Purwanto, Khafiizh Hastuti, Moch Anjas Aprihartha, Wise Herowati

Abstract


Rendahnya pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) dalam pembelajaran serta belum optimalnya penerapan joyful learning menjadi tantangan dalam pengenalan konsep deep learning di tingkat sekolah menengah. Di SMK Negeri 9 Semarang, pembelajaran deep learning masih dipersepsikan sebagai materi kompleks dan belum terintegrasi dalam praktik berbasis proyek. Kegiatan pengabdian ini bertujuan meningkatkan literasi AI guru melalui pemanfaatan Google Teachable Machine (GTM) sebagai media pembelajaran eksploratif yang mendukung pendekatan mindful, meaningful, dan joyful learning. Metode pelaksanaan meliputi identifikasi kebutuhan, pelatihan konseptual dan praktik GTM, penyusunan lesson plan berbasis proyek, implementasi di kelas, serta evaluasi melalui pre-test dan post-test. Hasil menunjukkan peningkatan rata-rata skor pemahaman guru dari 7,00 menjadi 8,375 atau meningkat sebesar 19,64% setelah pelatihan. Selain itu, 80% peserta menyatakan siap mengimplementasikan GTM dalam pembelajaran, dan satu model lesson plan terintegrasi berhasil disusun serta diujicobakan. Temuan ini menunjukkan bahwa GTM efektif meningkatkan literasi AI sekaligus mendorong pembelajaran yang lebih interaktif dan kontekstual. Program ini berpotensi berkelanjutan melalui integrasi GTM dalam pembelajaran reguler dan pengembangan kegiatan berbasis AI di sekolah

Keywords


GTM, pembelajaran menyenangkan, literasi AI, deep learning

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References


C. Holmes, W., Bialik, M., & Fadel, “Artificial Intelligence in Education: Promises and Implications for Teaching and Learning,” Cent. Curric. Redesign, 2019.

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

D. T. K. Ng, J. K. L. Leung, S. K. W. Chu, and M. S. Qiao, “Conceptualizing AI literacy: An exploratory review,” Comput. Educ. Artif. Intell., vol. 2, p. 100041, 2021, doi: https://doi.org/10.1016/j.caeai.2021.100041.

K. A. Hidi, S., & Renninger, Development, The role of interest in learning and. 2020.

M. Carney et al., “Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification,” in Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020, pp. 1–8. doi: 10.1145/3334480.3382839.

N. Malleswari, P. Yogendra Prasad, D. Prasad, M. N. Shetty, and N. Gupta, “Implementation of Machine Learning Based Google Teachable Machine in Early Childhood Education,” Artic. Int. J. Early Child. Spec. Educ., vol. 14, no. May, p. 2022, 2022, [Online]. Available: https://www.researchgate.net/publication/360438764

J. Garzón and E. Patiño, “Systematic Review of Artificial Intelligence in Education : Trends , Benefits , and Challenges,” pp. 1–19, 2025.

M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, “Artificial Intelligence trends in education: a narrative overview,” Procedia Comput. Sci., vol. 136, pp. 16–24, 2018, doi: https://doi.org/10.1016/j.procs.2018.08.233.

M. S. Jia, Li and Jalaludin, Nur Atiqah and Rasul, “Design thinking and project-based learning (DT-PBL): A review of the literature,” Int. J. Learn. Teach. Educ. Res., vol. 22, no. 8, pp. 376--390, 2023.

E. Jaleniauskiene and D. Venckiene, “The Interdisciplinary J ournal Of P roblem-Based L earning T he I nterdisciplinary J ournal Of P roblem-Based L earning Project-Based Language Learning in Higher Education : A Scoping Review,” vol. 19, no. 1, 2025.

T. Training, “Integrating Deep Learning Approaches in Primary School Language Education Curriculum : Enhanching Language Skill Development,” no. Camic, pp. 293–296, 2024.

E. Sulasmi, “Can Deep Learning Provide Solutions to The Challenges of 21 st -Century Education in Indonesia ?,” vol. 11, no. 2, pp. 3682–3690, 2025, doi: 10.22399/ijcesen.2636.




DOI: https://doi.org/10.62411/ja.v9i2.3260

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Copyright (c) 2026 Wise Herowati, Purwanto Purwanto, Khafiizh Hastuti, Moch Anjas Aprihartha



Jurnal ABDIMASKU (p-ISSN : 2615-3696, e-ISSN : 2620-3235) diterbitkan oleh LPPM Universitas Dian Nuswantoro Semarang. Jurnal ini di bawah lisensi Creative Commons Attribution 4.0 International License.

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