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Perceived Privacy Control, Permission Clarity, and Data Transparency on Gojek User Trust in Bandung Azlyn Ahmad Zawawi; Karno Diantoro; Zohaib Hassan Sain
Digitus : Journal of Computer Science Applications Vol. 4 No. 1 (2026): January 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v4i1.2039

Abstract

Ride-hailing applications require extensive personal data, making user trust in personal data management a critical determinant of sustained adoption. This cross-sectional study examined the associations of perceived privacy control, app permission request clarity, and data use transparency with trust in personal data management among 200 Gojek Android users across five subdistricts of Bandung City, Indonesia. A 20-item five-point Likert online questionnaire was administered from September to November 2025, and multiple linear regression with HC3 standard errors was applied. All three predictors were independently associated with trust. Perceived privacy control (B = 0.33, β = 0.37, p < .001) emerged as the strongest predictor, followed by data use transparency (B = 0.19, β = 0.20, p = .002) and permission request clarity (B = 0.13, β = 0.14, p = .038). The model explained 24.5% of variance in trust (adjusted R² = 0.245, F[3, 196] = 22.57, p < .001). Sensitivity analysis on 176 complete-response cases yielded consistent results, except that the association of permission clarity was attenuated to a trend. These findings underscore the importance of user-facing control mechanisms and transparent privacy communication in building trust in data-intensive ride-hailing platforms.
Perceived Information Quality, Ease of Use, and Privacy Protection as Predictors of Trust in Semarang’s Si D’nOK Portal Darmawan Subuh; Agus Herwanto; Zohaib Hassan Sain
Digitus : Journal of Computer Science Applications Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v4i3.2040

Abstract

Trust in digital civil registration services depends on how citizens evaluate service information, interface usability, and the handling of personal information. This study examined the associations of perceived information quality, perceived ease of use, and perceived privacy protection with trust in Semarang’s Si D’nOK web portal. A quantitative cross-sectional survey was conducted within an April–October 2025 research period, with questionnaire collection from May to August 2025. Purposive sampling with equal district quotas yielded 200 adult users from Tembalang, Banyumanik, Pedurungan, and Semarang Barat. Participants completed 20 five-point Likert items. Construct means were analyzed using Pearson correlations and multiple linear regression with HC3 robust standard errors. Internal consistency coefficients ranged from .827 to .854. The model explained 27.6% of the variance in trust (adjusted R² = .265). Perceived ease of use showed the largest standardized association (B = 0.418, β = .398, 95% CI [0.275, 0.562], p < .001), followed by information quality (B = 0.232, β = .225, 95% CI [0.102, 0.361], p < .001). Privacy protection was positively correlated with trust but was not significant in the adjusted model (B = 0.061, β = .063, 95% CI [−0.061, 0.183], p = .324). Three sensitivity analyses preserved this pattern. The findings support evaluating navigation and service information as practical priorities while maintaining privacy safeguards. The nonprobability sample and cross-sectional design limit generalization and causal interpretation.