PELATIHAN PEMANFAATAN GENERATIVE AI PADA CHAT GPT UNTUK PENYUSUNAN MODUL AJAR DAN LKPD TERHADAP GURU

Authors

  • Novita Awliya Program Studi Pendidikan Bahasa dan Sastra Indonesia, Universitas Mulawarman
  • Elfiana Dinda Lestari Program Studi Pendidikan Fisika, Universitas Mulawarman
  • Nazwa Fiki Saputri Program Studi Pendidikan Biologi, Universitas Mulawarman
  • Yunita Takarina ?Program Studi Pendidikan Komputer, Universitas Mulawarman
  • Nurselfi Rusma Program Studi Pendidikan Pancasila dan Kewarganegaraan, Universitas Mulawarman
  • Syafina Amalia Susanti Program Studi Bimbingan dan Konseling, Universitas Mulawarman
  • Blessing Jelita Bintang Patandianan Program Studi Pendidikan Ekonomi, Universitas Mulawarman
  • Nur Fitri Handayani Program Studi Pendidikan Pancasila dan Kewarganegaraan, Universitas Mulawarman
  • Agus Iswanto SMP Negeri 40 Samarinda

DOI:

https://doi.org/10.51878/community.v7i1.15777

Keywords:

Generative Artificial Intelligence, Chatgpt, Modul Ajar, LKPD, Pelatihan

Abstract

The utilization of Generative Artificial Intelligence (GenAI), specifically ChatGPT, holds strong potential for accelerating the design of instructional materials in schools. This qualitative descriptive study aims to describe the implementation of ChatGPT training for teachers at SMP Negeri 40 Samarinda, identify the technical challenges encountered, and analyze changes in participants' understanding when drafting teaching modules and Student Worksheets (LKPD). The training involved 24 teachers, from whom five participants were purposively selected as in-depth interview informants based on subject diversity and active workshop participation. Data were gathered through observational procedures, artifact analysis of generated instructional designs, and post-training interviews analyzed thematically. The findings indicate that the training offered structured experiences for participants in formulating prompts based on Learning Outcomes (Capaian Pembelajaran) and Learning Objectives (Tujuan Pembelajaran). The primary challenges identified centered on fine-tuning prompt precision, limited simulation time, and presentation screen visibility. Based on artifact comparisons between initial and revised drafts, participants demonstrated critical evaluation skills by correcting contextual discrepancies in ChatGPT outputs before classroom integration.

ABSTRAK

Pemanfaatan Generative Artificial Intelligence (GenAI), khususnya ChatGPT, berpotensi mempercepat penyusunan perangkat pembelajaran di sekolah. Penelitian deskriptif kualitatif ini bertujuan untuk mendeskripsikan pelaksanaan pelatihan ChatGPT bagi guru di SMP Negeri 40 Samarinda, mengidentifikasi kendala teknis yang dihadapi, serta menganalisis perubahan pemahaman peserta dalam menyusun modul ajar dan Lembar Kerja Peserta Didik (LKPD). Pelatihan ini diikuti oleh 24 guru, dengan 5 peserta dipilih secara bertujuan (purposive) sebagai informan wawancara mendalam berdasarkan variasi mata pelajaran dan keaktifan praktik. Data dikumpulkan melalui observasi proses, analisis dokumen rancangan pembelajaran, serta wawancara pascapraktik yang dianalisis secara tematik. Hasil penelitian menunjukkan bahwa pelatihan memberikan pengalaman terarah bagi peserta dalam merumuskan instruksi (prompt) berbasis Capaian Pembelajaran (CP) dan Tujuan Pembelajaran (TP). Kendala utama yang teridentifikasi berpusat pada penyesuaian instruksi yang presisi, alokasi waktu simulasi yang terbatas, serta visibilitas media presentasi. Berdasarkan perbandingan draf awal dan akhir, peserta mulai menunjukkan kemampuan evaluasi kritis dengan menyunting kekeliruan kontekstual keluaran ChatGPT sebelum diintegrasikan ke dalam kelas.

 

 

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References

Abdilah, Y. A., & Suhardiyanto, A. (2024). Persepsi guru PPKn terhadap teknologi artificial intelligence ChatGPT dalam mengembangkan perangkat pembelajaran. Jurnal Pengabdian Kepada Masyarakat, 7(3), 112–120. https://doi.org/10.31849/jpkm.v7i3.18942

Alfredo, R., Echeverría, V., Jin, Y., Yan, L., Swiecki, Z., Gaševi?, D., & Martínez?Maldonado, R. (2024). Human-centred learning analytics and AI in education: A systematic literature review. Computers and Education: Artificial Intelligence, 6, Article 100215. https://doi.org/10.1016/j.caeai.2024.100215

Chaudhry, M. A., & Kazim, E. (2021). Artificial Intelligence in Education (AIEd): A high-level academic and industry note 2021. AI and Ethics, 2(1), 157–165. https://doi.org/10.1007/s43681-021-00074-z

Daroin, A. D., Wahjoedi, Puspasari, E. Y., Yunikawati, N. A., & Safitri, D. A. (2026). Peningkatan kompetensi guru MGMP ekonomi Kota Malang dalam penyusunan instrumen HOTS berbasis artificial intelligence (AI). Jurnal Pengabdian Masyarakat Ilmu Pendidikan, 5(3), 600–611. https://doi.org/10.23960/jpm-ip.vol.5i.3.2179

Darwiyanto, E., Nurtantyana, R., & Priyadi, Y. (2024). Pemanfaatan generative AI untuk membantu tugas guru SMP PGRI Arjasari Kabupaten Bandung. The Proceeding of Community Service and Engagement (COSECANT) Seminar, 4(2), 55–63. https://doi.org/10.25124/cosecant.v4i2.2140

Doyle, L., McCabe, C., Keogh, B., Brady, A., & McCann, M. (2020). An overview of the qualitative descriptive design within nursing research. Journal of Research in Nursing, 25(5), 443–455. https://doi.org/10.1177/1744987119880234

Hernández-Herrera, J. R., & Ortiz-Bejar, J. (2026). Adaptive and personalized learning in higher education: An artificial intelligence-based approach. Education Sciences, 16(1), Article 109. https://doi.org/10.3390/educsci16010109

Istiarsyah, I., Maisura, M., Nurhabibah, N., Kumita, K., & Kamarullah, K. (2024). Transforming teacher competence through ChatGPT: Designing innovative and effective lesson modules. Ideguru: Jurnal Karya Ilmiah Guru, 10(1), 505–513. https://doi.org/10.51169/ideguru.v10i1.1586

Karata?, F., Gür, R., Eriçok, B., Ba?ar?r, F., & Tanr?kulu, L. (2026). Educational prompt engineering self-efficacy scale (Ed-PESS): Development and psychometric validation. Computers & Education, 254, Article 105700. https://doi.org/10.1016/j.compedu.2026.105700

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274

Katiyar, N., Awasthi, V. K., Pratap, R., Mishra, K., Shukla, N., Singh, R., & Tiwari, M. (2024). AI-driven personalized learning systems: Enhancing educational effectiveness. Kurdish Studies, 30(5), 4961–4972. https://doi.org/10.53555/kuey.v30i5.4961

Khairullah, S. A., Harris, S., Hadi, H. J., Sandhu, R. A., Ahmad, N., & Alshara, M. A. (2025). Implementing artificial intelligence in academic and administrative processes through responsible strategic leadership in the higher education institutions. Frontiers in Education, 10, Article 1548104. https://doi.org/10.3389/feduc.2025.1548104

Kurniawati, Y., Nisa, R., Mahmudah, W., Jamaluddin, M., & Nalurita, I. V. (2024). Bantuan penyusunan modul pembelajaran Kurikulum Mandiri dengan GPT Chat Madrasah Aliyah Nahdhatul Ulama Petung Gresik. Martabe: Jurnal Pengabdian Kepada Masyarakat, 7(4), 1227–1237. https://doi.org/10.31604/jpm.v7i4.1227-1237

Kusumawardani, S. S., Wulandari, D., Pannen, P., Ekadiyanto, F. A., Wiryana, I., Purwarianti, A., & Alfarozi, S. A. I. (2024). Panduan penggunaan generative artificial intelligence (GenAI) pada pembelajaran di perguruan tinggi. Direktorat Jenderal Pendidikan Tinggi, Riset, dan Teknologi.

Mardeli, M., Sari, J. P., Setyaningsih, K., Fauzi, M., Fitri, E., & Ballianie, N. (2025). Generative AI in personalized learning: A systematic review of implementation in Indonesia. Edukasia: Jurnal Pendidikan dan Pembelajaran, 6(2), 989–1002. https://doi.org/10.62775/edukasia.v6i2.1672

Mukhlis, M. (2024). Persepsi guru terhadap pemanfaatan ChatGPT dalam mengembangkan soal literasi membaca: Studi kasus pada sekolah menengah di Provinsi Riau. Jurnal Pendidikan dan Kebudayaan, 9(1), 1–19. https://doi.org/10.24832/jpnk.v9i1.4873

Perdana, R., Rohman, F., Riadi, B., Wahyudi, A., & Rizqi, Y. F. (2026). Pemanfaatan artificial intelligent (AI) bagi guru SMA untuk menunjang pembuatan perangkat pembelajaran. Jurnal Pengabdian Masyarakat Ilmu Pendidikan, 5(3), 542–562. https://doi.org/10.23960/jpm-ip.vol.5i.3.2328

Qian, Y. (2025). Prompt engineering in education: A systematic review of approaches and educational applications. Journal of Educational Computing Research, 63(8), 1782–1818. https://doi.org/10.1177/07356331251365189

Rasmani, U. E. E., Wahyuningsih, S., Fitrianingtyas, A., Agustina, P., Widiastuti, Y. K. W., Fitri, A. K., & Pratiwi, A. I. (2024). Pelatihan pemanfaatan artificial intelligence dalam penyusunan modul ajar Kurikulum Merdeka bagi guru pendidikan anak usia dini. Murhum: Jurnal Pendidikan Anak Usia Dini, 5(2), 490–500. https://doi.org/10.37985/murhum.v5i2.911

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO Publishing.

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Published

2026-11-05

How to Cite

Awliya, N., Lestari, E. D., Saputri, N. F., Takarina, Y., Rusma, N., Susanti, S. A., … Iswanto, A. (2026). PELATIHAN PEMANFAATAN GENERATIVE AI PADA CHAT GPT UNTUK PENYUSUNAN MODUL AJAR DAN LKPD TERHADAP GURU. COMMUNITY : Jurnal Pengabdian Kepada Masyarakat, 7(1), 103–110. https://doi.org/10.51878/community.v7i1.15777

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