Pemanfaatan Artificial Intelligence dan Google Workspace dalam Mendukung Project Based Learning Siswa pada Mata Pelajaran Dasar Teknik Pemesinan Kelas X SMK Negeri 5 Padang Utilization of Artificial Intelligence and Google Workspace to Support Project-Based Learning for Grade X Students in the Basic Machining Engineering Subject at SMK Negeri 5 Padang
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4814-4837
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10.58578/tsaqofah.v6i5.11952
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Authors:Diva Adrian1, Delima Yanti Sari2
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Abstract
Although the use of Artificial Intelligence (AI), Google Workspace, and Project-Based Learning (PjBL) has expanded in education, the integration of all three during the project design stage in Machining Engineering instruction remains limited. This study aimed to describe the use of AI and Google Workspace to support PjBL in the Fundamentals of Machining Engineering subject for Grade 10 students at SMK Negeri 5 Padang. This study employed a qualitative approach with a descriptive design involving 62 students and one teacher selected through purposive sampling. Data were collected through questionnaires, observations, interviews, and documentation and subsequently analyzed using the Miles and Huberman model. The results showed that 88.71% of the students used AI, primarily to explore project ideas, whereas 91.94% used Google Docs to develop and document project designs. In addition, 96.77% of the students reported that group discussions became more active, although difficulties in identifying ideas and establishing cooperation persisted. These findings indicate that AI and Google Workspace perform complementary functions in the implementation of PjBL: AI supports idea exploration, whereas Google Workspace facilitates collaboration and the documentation of project designs. This study confirms that integrating these two technologies has the potential to enhance the quality of project design and student engagement in vocational education. However, their use requires teacher guidance to ensure that technology strengthens, rather than replaces, students’ thinking and collaboration processes.
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References
Abdussamad, Z. (2021). Metode penelitian kualitatif. CV. Syakir Media Press. https://books.google.co.id/books?id=JtKREAAAQBAJ
Agraini, T. R., Adri, M., Giatman, M., & Huda, A. (2026). Digital transformation in vocational education: Development and evaluation of a project-based e-jobsheet for LAN installation integrated with Google Workspace. AL-ISHLAH: Jurnal Pendidikan, 18(1), 158–173. https://doi.org/10.35445/alishlah.v18i1.8902
Al-Kamzari, F., & Alias, N. (2025). A systematic literature review of project-based learning in secondary school physics: Theoretical foundations, design principles, and implementation strategies. Humanities and Social Sciences Communications, 12, Article 286. https://doi.org/10.1057/s41599-025-04579-4
Amin, N. F., Garancang, S., & Abunawas, K. (2023). Konsep umum populasi dan sampel dalam penelitian. PILAR, 14(1), 15–31. https://doi.org/10.26618/whw41w62
Fatira AK, M., Ferawati, Darmayani, S., Nendissa, S. J., Arifudin, O., Anggaraeni, F. D., Hidana, R., Marantika, N., Arisah, N., Ahmad, N., Febriani, R., & Handayani, F. S. (2021). Pembelajaran digital. Widina Bhakti Persada. https://repository.penerbitwidina.com/media/publications/347045-pembelajaran-digital-0371fded.pdf
Fauziyati, W. R. (2023). Dampak penggunaan artificial intelligence (AI) dalam pembelajaran Pendidikan Agama Islam. Jurnal Review Pendidikan dan Pengajaran, 6(4), 2180–2187. https://doi.org/10.31004/jrpp.v6i4.21623
Fransisca, Y., Armayani, E., Utami, C. D., Hikmah, Y. S., Batubara, F., & Akmalia, R. (2023). Strategi baru guru bimbingan konseling dalam pembenahan sikap dan disiplin siswa SMP. Journal on Education, 6(1), 6864–6876. https://jonedu.org/index.php/joe/article/view/3914
Hakim, L. (2022, December 8). Peranan kecerdasan buatan (artificial intelligence) dalam pendidikan. Direktorat Pendidikan Profesi Guru. https://ppg.kemendikdasmen.go.id/news/peranan-kecerdasan-buatan-artificial-intelligence-dalam-pendidikan
Ishtaiwa, F. F., & Aburezeq, I. M. (2015). The impact of Google Docs on student collaboration: A UAE case study. Learning, Culture and Social Interaction, 7, 85–96. https://doi.org/10.1016/j.lcsi.2015.07.004
Isohätälä, J., Näykki, P., & Järvelä, S. (2020). Convergences of joint, positive interactions and regulation in collaborative learning. Small Group Research, 51(2), 229–264. https://doi.org/10.1177/1046496419867760
Kementerian Pendidikan Dasar dan Menengah. (n.d.). CP & ATP—Dasar-dasar teknik mesin fase E. Retrieved January 19, 2026, from https://guru.kemendikdasmen.go.id/kurikulum/referensi-penerapan/capaian-pembelajaran/smk/dasar-dasar-teknik-mesin/fase-e/
Molenaar, I., Horvers, A., Dijkstra, R., & Baker, R. S. (2020). Personalized visualizations to promote young learners’ SRL: The learning path app. In Proceedings of the Tenth International Conference on Learning Analytics & Knowledge (pp. 330–339). Association for Computing Machinery. https://doi.org/10.1145/3375462.3375465
Pancapriono, W. (2022). Application of the project-based learning model in the subject of electrical lighting installation in class XI electricity students at SMK Negeri 2 Samarinda. Educationist: Journal of Educational and Cultural Studies, 1(2), 291–301. https://jurnal.litnuspublisher.com/index.php/jecs/article/view/131
Primawati, Rozi, F., & Indrawan, E. (2015, October 16–17). Studi perbandingan kemampuan potensi akademik aritmatika mahasiswa yang berasal dari SMK dengan SMA pada Jurusan Teknik Mesin FT UNP [Paper presentation]. 3rd International Conference on Technical and Vocation Education and Training (ICTVET), Bukittinggi, Indonesia. https://www.researchgate.net/publication/336870774_STUDI_PERBANDINGAN_KEMAMPUAN_POTENSI_AKADEMIK_ARITMATIKA_MAHASISWA_YANG_BERASAL_DARI_SMK_DENGAN_SMA_PADA_JURUSAN_TEKNIK_MESIN_FT_UNP
Rijali, A. (2019). Analisis data kualitatif. Alhadharah: Jurnal Ilmu Dakwah, 17(33), 81–95. https://doi.org/10.18592/alhadharah.v17i33.2374
Rostini, D., Hidayatillah, F., Suhendar, E., & Rananda Saputra, W. (2023). Implementasi teknologi kolaboratif dalam meningkatkan keterampilan komunikasi dan kolaborasi siswa SMK. JIIP: Jurnal Ilmiah Ilmu Pendidikan, 6(9), 6903–6909. https://doi.org/10.54371/jiip.v6i9.2713
Siswantoro, A. G., & Sugandi, R. M. (2025). Improving collaboration of Building Information Modeling and Design students through Google Workspace based digital project based learning in technical drawing. Ilmu Pendidikan: Jurnal Kajian Teori dan Praktik Kependidikan, 10(2), 141–148. https://doi.org/10.17977/um027v10i22025p141-148
Sobocinski, M., Malmberg, J., & Järvelä, S. (2022). Exploring adaptation in socially-shared regulation of learning using video and heart rate data. Technology, Knowledge and Learning, 27(2), 385–404. https://doi.org/10.1007/s10758-021-09526-1
Sugiyono. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D (2nd ed.). Alfabeta.
Susanto, D., Risnita, & Jailani, M. S. (2023). Teknik pemeriksaan keabsahan data dalam penelitian ilmiah. Jurnal QOSIM: Jurnal Pendidikan Sosial & Humaniora, 1(1), 53–61. https://doi.org/10.61104/jq.v1i1.60
Yusuf, A., Pervin, N., Román-González, M., & Noor, N. M. (2024). Generative AI in education and research: A systematic mapping review. Review of Education, 12(2), Article e3489. https://doi.org/10.1002/rev3.3489
Zhang, L., & Ma, Y. (2023). A study of the impact of project-based learning on student learning effects: A meta-analysis study. Frontiers in Psychology, 14, Article 1202728. https://doi.org/10.3389/fpsyg.2023.1202728
Zhang, P., & Tur, G. (2024). A systematic review of ChatGPT use in K–12 education. European Journal of Education, 59(2), Article e12599. https://doi.org/10.1111/ejed.12599