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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Sistem dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Innovation in Business and Economics Building of Informatics, Technology and Science Sosiohumanitas: Jurnal Ilmu-Ilmu Sosial dan Humaniora Jurnal Manajemen Kewirausahaan Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Journal of Health Research and Technology Guidance: Jurnal Bimbingan dan Konseling Proceeding of Community Service and Engagement
Yudi Priyadi
Univesitas Telkom
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Pelatihan Koding dan Kecerdasan Buatan Melalui Python serta Generative AI di SMA PBB Arjasari Bandung Eko Darwiyanto; Yudi Priyadi; Rio Nurtantyana
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i3.17687

Abstract

SMA PBB Arjasari, a private school in Arjasari District, Bandung Regency, employs 45 teachers and staff with varied educational backgrounds. Currently, Coding and Artificial Intelligence (AI) electives for grades X–XII are taught by a single teacher, which poses challenges in meeting the Ministry of Education and Culture curriculum outcomes. Interviews and needs analysis identified three key issues: limited structured resources, basic programming proficiency, and the use of Generative AI in learning. This community service activity aims to boost teacher competency through structured, hands-on training. Coding materials are sourced from open resources (e.g., w3schools); AI materials cover Generative AI concepts (ChatGPT, Gemini, Deepseek) and case studies from AI lectures. The program features three sessions: Generative AI for learning, basic Python programming, and solving AI case studies, each with coding practice. Methods include presentations, demonstrations, independent practice, and interactive quizzes. Impacts include 95% participant satisfaction, better AI understanding, improved basic programming skills, and greater readiness to achieve curriculum goals, according to post-activity surveys. Based on these results, the program can be replicated and expanded through further training.
Co-Authors ., Norita Abdurrahman Al Afifi Akraman, Robbi al-Jaberi, Musheer Angelia Brigitta Maharani M.P Candiwan Dewi, Karina Hasya Utami Diva, Fadel Dwi Endrasto Wibowo Dwi, Dawam Eko Darwiyanto Elengoe, Asita Faisal, Bagus Gede Agung Ary Wisudiawan Gustiana Ayuni Putri Hafiz Izzamufid Ash Siddiqi Hapsari, Karina Indira Firli Widodo Jayadi Jayadi Kamila, Dhiya Kanji Prasetiyo Khairin, Amal Kusumo, Dana Sulistyo M. Mujahid Biagi Usama Mahendra Dwifebri Purbolaksono Marisa, Dewi Erna Memi Dwi Kartika Muhamad f Martasubrata Muhammad Johan Alibasa Nurdini, Rizki Amalia Nurtantyana, Rio NURUL AZIZAH Pramoedya Syachrizalhaq Lyanda Pramoedya Syachrizalhaq Lyanda Radiansyah, Ikhsan Rio Nurtantyana Rio Nurtantyana Rizka Widyarini Purwanto Rosa Reska Riskiana Shinta Yulia Puspitasari Sukmawati, Riska Tetuko Muhammad Hanurogo Wahyuni, Santi Yuli Triastuti Yuni Cintia Yuze, Yuni Cintia