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Analisis Penerimaan Pengguna terhadap Claude AI sebagai Virtual Coworker Menggunakan Model TAM (Technology Acceptance Model) Guidio Leonarde Ginting; Surya Darma Nasution
Bulletin of Information System Research Vol 4 No 2 (2026): April 2026
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/bios.v4i2.282

Abstract

The acceptance of artificial intelligence technology in the workplace has become a primary concern in Indonesia's digital transformation era. Claude AI, a generative AI assistant developed by Anthropic, demonstrates significant potential as a virtual coworker supporting work productivity. This study analyzes Indonesian professional users' acceptance of Claude AI using the Technology Acceptance Model (TAM) framework (Davis, 1989), covering Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), and Behavioral Intention (BI). A quantitative survey method was applied to 120 professional respondents in Indonesia. Regression analysis results show all hypotheses were accepted (p < 0.05): PEOU positively affects PU (β = 0.412), PU affects ATU (β = 0.387), PEOU directly affects ATU (β = 0.298), and ATU is the strongest predictor of BI (β = 0.521). These findings indicate that ease of use and perceived usefulness of Claude AI jointly contribute to positive behavioral intention among Indonesian professionals
Peningkatan Kompetensi Guru dalam Pengembangan Bahan Ajar Digital melalui Pelatihan Pemanfaatan Artificial Intelligence Guidio Leonarde Ginting; Surya Darma Nasution
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.10790

Abstract

This community service activity was carried out at SMA Negeri 1 Percut Sei Tuan, Kab. Deli Serdang, North Sumatera Province. Based on preliminary observations and interviews, the partner faced the problem of teachers’ low competence in developing digital teaching materials; most teachers still relied on printed textbooks and simple presentation slides, while artificial intelligence (AI) technology had never been utilized to support the preparation of teaching materials. This condition made the learning process less varied and not fully aligned with the characteristics of students as digital natives. This activity aimed to improve teachers’ competence in developing digital teaching materials through training on the use of AI-based applications, including ChatGPT and Gemini for preparing learning materials and assessment instruments, Canva Magic Studio and Gamma for creating interactive slides and digital modules, and Quizizz AI for developing evaluation quizzes. The implementation method consisted of four stages: needs analysis, preparation, training implementation using interactive lectures, demonstrations, and guided practice, and evaluation using pre-test, post-test, product assessment rubrics, and participant response questionnaires. The activity was attended by 25 teachers from various subjects. The results showed an increase in participants’ average comprehension score from 52.4 in the pre-test to 84.8 in the post-test, an increase of 61.8%. All participants (100%) succeeded in producing at least one AI-assisted digital teaching material ready for classroom use, and 92% of participants stated that the activity was very useful and relevant to their professional needs. Thus, the AI utilization training proved effective in improving teachers’ competence in developing digital teaching materials, and its continuation is recommended through periodic mentoring programs so that AI utilization can be integrated sustainably and ethically into learning practices at the partner school.