Development of a Web-Based Bus Ticket Reservation System for BJM_Pariwisata

This research aims to design a web-based bus ticket booking system at BJM_Pariwisata to increase operational efficiency and customer convenience. This system was developed using the Prototyping-based SDLC method through the stages of needs identification, design, development, testing and implementation, and is equipped with registration features, schedule search, ticket ordering, online payment and report management. Research results show an increase in ordering efficiency of up to 50% as well as a reduction in data recording errors, with user surveys indicating high satisfaction with the system's flexibility. With fast response times, cross-device compatibility, and guaranteed data security, this system is considered effective in meeting digital transportation needs and can become a model for other service providers.

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Publication Details

Journal
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published
2025-02-15
DOI
https://doi.org/10.59934/jaiea.v4i2.934
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
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article

Development of a Web-Based Bus Ticket Reservation System for BJM_Pariwisata

Willy Prihartono, Rini Astuti, Jul Saputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Information Retrieval and Data Mining
article

Development of a Web-Based Bus Ticket Reservation System for BJM_Pariwisata

Willy Prihartono, Rini Astuti, Jul Saputra
article en

Abstract

This research aims to design a web-based bus ticket booking system at BJM_Pariwisata to increase operational efficiency and customer convenience. This system was developed using the Prototyping-based SDLC method through the stages of needs identification, design, development, testing and implementation, and is equipped with registration features, schedule search, ticket ordering, online payment and report management. Research results show an increase in ordering efficiency of up to 50% as well as a reduction in data recording errors, with user surveys indicating high satisfaction with the system's flexibility. With fast response times, cross-device compatibility, and guaranteed data security, this system is considered effective in meeting digital transportation needs and can become a model for other service providers.

Journal of Artificial Intelligence and Engineering Applications (JAIEA)Vol. 4(2)
Institute of Biology of Komi Scientific Centre (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 97%
Information Retrieval and Data Mining
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Development of a Web-Based Bus Ticket Reservation System for BJM_Pariwisata — Willy Prihartono, Rini Astuti, et al. · Journal of Artificial Intelligence and Engineering Applications (JAIEA) (2025) | TGRS Research Map | TGRS