Pelatihan Artificial Intelligence (AI) untuk Meningkatkan Literasi Digital dan Kreativitas Siswa SMA Negeri 1 Srengat
DOI:
https://doi.org/10.62710/g7mgsm73Keywords:
Artificial Intelligence, Literasi Digital, Kreativitas SiswaAbstract
The rapid development of Artificial Intelligence (AI) has drastically changed the world of schooling and digital innovation, especially for Generation Z. This community service program aims to improve digital literacy and creativity of students at SMA Negeri 1 Srengat through training in the use of AI, specifically the ChatGPT and Gemini applications. This program was implemented using interactive lecture methods, live demonstrations, and direct practice with digital devices. Evaluation was carried out using pre-tests, post-tests, and questionnaires. The evaluation results showed a 65% increase in participants' understanding of the training material, while the questionnaire obtained an average score of 3.6 (agree category), indicating that the training was effective and relevant to students' needs. This activity succeeded in fostering critical thinking skills, creativity in using AI technology, and awareness of ethical digital practices in students. In addition, this training contributed to strengthening students, especially in the aspects of critical reasoning, creativity, and independence. Therefore, this AI training is a strategic initiative to prepare the younger generation to be technologically literate, innovative, and adaptive in the digital era.
References
Adri, R. F. (2020). PENGARUH PRE-TEST TERHADAP TINGKAT PEMAHAMAN MAHASISWA PROGRAM STUDI ILMU POLITIK PADA MATA KULIAH ILMU ALAMIAH DASAR. Menara Ilmu.
Asyiah Siregar, N., Harahap, N. R., & Harahap3, H. S. (2023). HUBUNGAN ANTARA PRETEST DAN POSTEST DENGAN HASIL BELAJAR SISWA KELAS VII B DI MTS ALWASHLIYAH PANTAI CERMIN. Edunomika, 07(01), 2023.
Berkaitan, Y., Waktu, D., Dan, J., Untuk, K., Kelas, S., Purnomo, P., & Palupi, M. S. (2017). PENGEMBANGAN TES HASIL BELAJAR MATEMATIKA MATERI MENYELESAIKAN MASALAH. Jurnal Penelitian (Edisi Khusus PGSD).
Dias, R., & Torkamani, A. (2019). Artificial intelligence in clinical and genomic diagnostics. In Genome Medicine (Vol. 11, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s13073-019-0689-8
Elgammal, I., & Al-Modaf, O. (2023). The Antecedent of the Sustainable Purchasing Attitudes among Generation Z: A Terror Management Theory Perspective. Sustainability (Switzerland), 15(12). https://doi.org/10.3390/su15129323
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial Intelligence and Business Value: a Literature Review. Information Systems Frontiers, 24(5), 1709–1734. https://doi.org/10.1007/s10796-021-10186-w
Goździkiewicz, N., Zwolińska, D., & Polak-Jonkisz, D. (2022). The Use of Artificial Intelligence Algorithms in the Diagnosis of Urinary Tract Infections—A Literature Review. In Journal of Clinical Medicine (Vol. 11, Issue 10). MDPI. https://doi.org/10.3390/jcm11102734
Magdalena, I., Nurul Annisa, M., Ragin, G., & Ishaq, A. R. (2021). ANALISIS PENGGUNAAN TEKNIK PRE-TEST DAN POST-TEST PADA MATA PELAJARAN MATEMATIKA DALAM KEBERHASILAN EVALUASI PEMBELAJARAN DI SDN BOJONG 04. In Jurnal Pendidikan dan Ilmu Sosial (Vol. 3, Issue 2). https://ejournal.stitpn.ac.id/index.php/nusantara
Meet, R. K., Kala, D., & Al-Adwan, A. S. (2022). Exploring factors affecting the adoption of MOOC in Generation Z using extended UTAUT2 model. Education and Information Technologies, 27(7), 10261–10283. https://doi.org/10.1007/s10639-022-11052-1
Milossi, M., Alexandropoulou-Egyptiadou, E., & Psannis, K. E. (2021). AI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approach. IEEE Access, 9, 58455–58466. https://doi.org/10.1109/ACCESS.2021.3072782
Pelaccia, T., Forestier, G., & Wemmert, C. (2019). Deconstructing the diagnostic reasoning of human versus artificial intelligence. CMAJ, 191(48), E1332–E1335. https://doi.org/10.1503/cmaj.190506
Petrescu-Mag, R. M., Petrescu, D. C., Ivan, A., & Tenter, A. (2023). An intergenerational reading of climate change-health concern nexus: a qualitative study of the Millennials’ and Gen Z participants’ perceptions. BMC Public Health, 23(1). https://doi.org/10.1186/s12889-023-15353-z
Prawiyogi, A. G., Sadiah, T. L., Purwanugraha, A., & Elisa, P. N. (2021). Penggunaan Media Big Book untuk Menumbuhkan Minat Membaca di Sekolah Dasar. Jurnal Basicedu, 5(1), 446–452. https://doi.org/10.31004/basicedu.v5i1.787
Stojsavljević, R., Vujičić, M. D., Stankov, U., Stamenković, I., Masliković, D., Carmer, A. B., Polić, D., Mujkić, D., & Bajić, M. (2023). In Search for Meaning? Modelling Generation Z Spiritual Travel Motivation Scale—The Case of Serbia. Sustainability (Switzerland), 15(6). https://doi.org/10.3390/su15065292
Sulistiowati, S., Lemantara, J., & Sukmaaji, A. (2024). Pelatihan Pengoperasian Website Karang Taruna Desa Buncitan Kabupaten Sidoarjo. Ekobis Abdimas : Jurnal Pengabdian Masyarakat, 5(1), 26–36. https://doi.org/10.36456/ekobisabdimas.5.1.9232
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Titik Lusiani, Sulistiowati, Tutut Wurijanto, Agus Dwi Churniawan, Sutikno (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.