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rafii, mohamad rafii
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Computer Science & IT Education

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The Impact of AI Knowledge, Attitudes on Technology, and Usage Experience on Student Self-Confidence (A Study at the Faculty of Business and Informatics) rafii, mohamad rafii; Bayu Suratmoko; Masrifah Dwi Yanti
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 11 No. 1 (2026): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v11i1.11357

Abstract

The disruption caused by Artificial Intelligence (AI) requires psychological readiness, particularly self-confidence, among students as future professionals. This study aims to analyze and empirically test the impact of AI Knowledge (X1), Attitude on Technology (X2), and Usage Experience (X3) on students' Self-Confidence (Y). Using an explanatory quantitative approach, data were collected through an online survey of 306 students (as a sample) at the Faculty of Business and Informatics, Muhammadiyah University Palangkaraya (N=842). The data were analyzed using PLS-SEM with SmartPLS 4. The model evaluation results showed that the data were valid and reliable, with strong predictive power (Q²=0.620). The bootstrapping hypothesis test results showed that all three hypotheses were accepted: AI Knowledge (T=2.697; P=0.004), Attitude on Technology (T=5.046; P=0.000), and Usage Experience (T=5.875; P=0.000) all have a positive and significant effect on Self-Confidence. These three variables collectively explain 63.3% of the variance in Self-Confidence (R²=0.633). Experience of Use (X3) proved to be the most dominant predictor (coefficient=0.425; f²=0.195), followed by Attitude (X2) (f²=0.129), and Knowledge (X1) (f²=0.027). This study concludes that to build student self-confidence, practice-based (“doing”) and affective (‘feeling’) interventions have a much greater substantive impact than cognitive (“knowing”) interventions.
Decoding Purchase Decisions: The Role of Influencer Credibility and Content rafii, mohamad rafii; Ahyar Junaedi; Bayu Suratmoko; Nur Annisa
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 11 No. 2 (2026): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v11i2.12839

Abstract

The rapid growth of social media has positioned influencer marketing as a key driver of consumer purchase decisions, yet the relative roles of influencer attributes and content characteristics remain unclear. This study investigates the effects of Influencer Credibility, Content Frequency, and Content Relevancy on Purchase Decision using survey data from 516 active social media users analyzed with SEM-PLS 4. The results show that the model explains 58.1% of the variance in Purchase Decision (R² = 0.581) and demonstrates strong predictive relevance (Q²predict = 0.570). Hypothesis testing indicates that Content Relevancy has a strong and significant effect on Purchase Decision (β = 0.613; t = 11.058; p < 0.001; f² = 0.370), making it the most influential predictor. Content Frequency has a positive but weak effect (β = 0.121; t = 2.192; p = 0.014; f² = 0.014), while Influencer Credibility does not significantly influence Purchase Decision (β = 0.080; t = 1.410; p = 0.079; f² = 0.008). These findings suggest that content relevance plays a more critical role than influencer credibility in shaping purchase decisions. The study highlights the importance of content strategy in enhancing the effectiveness of influencer marketing.
Co-Authors Ahyar Junaedi Bayu Suratmoko Masrifah Dwi Yanti Nur Annisa