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All Journal Digitus : Journal of Computer Science Applications
Maharsa Pradityatma
Department of Industrial Engineering, Faculty of Engineering
Computer Science & IT Decision Sciences, Operations Research & Management

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Schedule Search Ease, Seat Clarity, and Rescheduling Ease on Access by KAI Satisfaction in Cirebon Abdullah Al Ma'mun Sarwar; Maharsa Pradityatma
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.v4i3.2043

Abstract

Mobile rail ticketing requires users to find suitable schedules, interpret seat information, and manage changes after purchase. This study examined the associations of perceived ease of schedule search, seat information clarity, and ease of rescheduling with user satisfaction with Access by KAI in Cirebon, Indonesia. A cross-sectional online survey was conducted from March 2 to April 28, 2026, within a February–May research period. Purposive recruitment with equal district quotas yielded 200 adult users who had personally booked intercity tickets and attempted rescheduling. Each construct was measured with five Likert items. Multiple linear regression used HC3 robust standard errors, with complete-response and rescheduling-status sensitivity analyses. Mean scores were 3.63 for schedule search, 3.61 for seat information, 3.13 for rescheduling, and 3.48 for satisfaction. Schedule search (B = 0.299, 95% CI [0.168, 0.430], p < .001) and rescheduling (B = 0.306, 95% CI [0.183, 0.428], p < .001) were positively associated with satisfaction. Seat information clarity showed a smaller association (B = 0.130, 95% CI [0.0009, 0.260], p = .049) that was not statistically significant in either sensitivity model. The primary model explained 26.4% of satisfaction variance. The findings support prioritizing evaluation of schedule comparison and rescheduling workflows, while treating the independent seat-information association as uncertain. Nonprobability sampling and the cross-sectional design limit generalizability and causal interpretation.
Co-Authors Abdullah Al Ma&#039;mun Sarwar