Development of an Online Vehicle Reservation System for Kanchanaburi Rajabhat University

Abstract

This research aimed to: 1) develop an online vehicle reservation system for Kanchanaburi Rajabhat University, 2) evaluate the efficiency of the online vehicle reservation system for Kanchanaburi Rajabhat University, and 3) assess user satisfaction with the online vehicle reservation system for Kanchanaburi Rajabhat University. The study population consisted of two groups: 3 information system experts, purposively selected to evaluate system efficiency, and all 74 users recorded in the university’s online vehicle reservation database between June and December 2023, representing the total population without sampling. The research instruments included: 1) the online vehicle reservation system for Kanchanaburi Rajabhat University, 2) an information system efficiency evaluation form for experts, and
3) a user satisfaction questionnaire. Data were analyzed using percentage, mean, and standard deviation. The research findings revealed that: 1) The online vehicle reservation system for Kanchanaburi Rajabhat University was analyzed, designed, and developed as a web application based on the Systems Development Life Cycle (SDLC). The system supports 4 main user groups: service recipients, material and vehicle management officers, executives, and drivers. It effectively replaces the traditional paper-based vehicle request forms. Compared to the previous process, the system reduces the average operational time for vehicle permit requests by 99.10% and decreases paper consumption by 40% – 50% (equivalent to 480 – 600 sheets per year) of the original usage, thereby facilitating and accelerating vehicle management. 2) The overall efficiency of the system evaluated by experts was at a high level ( = 4.40, S.D. = 0.61). The functional capability aspect obtained the highest mean ( = 4.60), while the usability aspect obtained the lowest mean ( = 4.27). 3) The overall user satisfaction was at a high level ( = 4.46, S.D. = 0.69). The system quality aspect obtained the highest mean ( = 4.52), whereas the system performance aspect obtained the lowest mean ( = 4.39).