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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.
Technology Acceptance and Planned Behavior: How TikTok Impacts Digital Entrepreneurship Intention among University Students in Batam City Cindy Juliandry; Indasari Deu; Eryc
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.v9i3.3606

Abstract

TikTok application is changing the shape of the economy and how young people see it as an opportunity. This study investigates the impact of TikTok application on digital entrepreneurship intentions among university students in Batam City. Leveraging the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB), the research explores how perceived usefulness, perceived ease of use, attitudes, subjective norms, and perceived behavioral control influence students' entrepreneurial aspirations. A quantitative method with purposive sampling was used, targeting 460 respondents. The findings reveal that TikTok's user-friendly features and algorithmic design significantly affect digital entrepreneurship intentions, facilitating accessibility and fostering innovative business practices. The results underscore the importance of integrating digital tools into entrepreneurship, providing practical insights for educators, platform developers, and young people to enhance entrepreneurial engagement in the digital economy. Despite geographical limitations, this study contributes to the theoretical understanding of technology-driven entrepreneurship and highlights areas for future exploration.
Analyzing Key Success Factors for Driving Repurchasing Conversion in E-CRM: Customer Insights on Gojek Application in Batam Mellberg Limanda; Eryc; Indasari Deu
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2248

Abstract

This study examines the determinants of repurchase intention in Gojek’s digital service environment by integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), with Customer Relationship Management (CRM) serving as the contextual framework. In this study, CRM is not operationalized as an independent variable but provides the contextual setting for understanding user interactions with the platform. Using a sequential mixed-methods design, Qualitative findings reveal that price sensitivity is the most dominant factor influencing repurchase decisions for key drivers of repurchase intention, followed by usability, functional efficiency, and trust. Quantitative analysis via Partial Least Squares Structural Equation Modeling (PLS-SEM) confirmed that Perceived Ease of Use significantly influences Perceived Usefulness, which shapes Attitude, while Attitude and Perceived Behavioral Control strongly predict Repurchase Intention; Subjective Norms exert a weaker effect. By positioning CRM as a contextual environment rather than a measured construct, this study extends the application of the TAM–TPB framework in digital ride-hailing services and provides practical insights for strengthening customer retention strategies.