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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal Software Engineering and Computer Science (IJSECS)
Surya Tjahyadi
International University of Batam
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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The Role of Ease of Use, Usefulness, Trust, and Algorithms in Platform Choice Among Batam Content Creators Willson; Eryc; Surya Tjahyadi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3596

Abstract

This research examines how Perceived Ease of Use, Perceived Usefulness, Perceived Trustiness, and Algorithm Awareness influence the attitude and intention of Batam content creators in utilizing digital platforms. Data collected from 137 Batam content creators were analyzed using linear regression. Results indicate that Perceived Ease of Use significantly affects Perceived Usefulness (t = 6.007, p < 0.001), but neither Perceived Ease of Use (t = 0,315, p = 0.753) nor Perceived Usefulness (t = 1.664, p = 0.099) impacts attitude. In contrast, Perceived Trustiness (t = 4.109, p < 0.001) and Algorithm Awareness (t = 2.584, p = 0.011) positively influence attitudes, while a strong relationship exists between attitude and intention to use platforms (t = 8.654, p < 0.001). These findings suggest that content creators should understand algorithm functionality and use trusted platforms to enhance content visibility and audience reach. Platform developers should focus on building trust by ensuring data security, transparent and fair content distribution systems, to create a sense of reliability & trustworthy, encouraging Batam creators to use the platform more actively.
Analysis of Factors Influencing Artificial Intelligence Adoption Among MSMEs in Batam City Using the TOE and TAM Approaches Daniel Daniel; Heru Wijayanto Aripradono; Surya Tjahyadi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7631

Abstract

Artificial intelligence (AI) has considerable potential to enhance operational competitiveness, but its adoption among Micro, Small, and Medium Enterprises (MSMEs) remains constrained by structural and perceptual barriers. This study examines the factors influencing AI adoption intention among MSMEs in Batam City using the Technology-Organization-Environment (TOE) framework and Technology Acceptance Model (TAM), with Diffusion of Innovation (DOI) providing additional theoretical support. A sequential explanatory mixed-methods design was employed. Quantitative data were collected from 270 MSME practitioners and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The measurement model met the criteria for convergent validity, discriminant validity, and reliability after the removal of the Environmental Pressure construct due to discriminant validity issues. The structural model showed that all six hypotheses retained in the final model were supported. Technology Readiness and Organizational Support had significant positive effects on Perceived Usefulness and Perceived Ease of Use, while Perceived Usefulness was the strongest direct predictor of AI adoption intention. Qualitative interviews with five MSME practitioners further supported the quantitative findings by indicating that practical operational benefits and internal readiness were important considerations in AI adoption. Based on these findings, MSME managers and policymakers in Batam City should emphasize the practical operational benefits of AI and strengthen digital infrastructure and organizational readiness to support adoption.
Co-Authors Daniel Daniel Eryc Heru Wijayanto Aripradono Willson