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Implementation of connection scan algorithm in tourism intermodal transportation journey planner: a case study Darmawan, Vertic Eridani Budi; Chen, Yuh Wen
Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v4i2.2772

Abstract

Accessibility to tourist destinations is an important component in a tourism system, especially for natural tourist destinations located in suburban areas. Good linkage of travel information and physical connections with local transportation services for intercity travel can facilitate more people to travel and promote national tourism destinations. This research takes the popular national tourism destinations and their public transportation service in Taiwan as a research object due to the unavailability of integrated public transport information service. Free Independent Travelers (FIT) demand is growing. This research aims to integrate intermodal public transportation information to support FIT by proposing a seamless way journey planner. In this scenario, the journey planner requires timetable data as input. The Connection Scan Algorithm is used to find the earliest arrival time routes at their destinations. This journey planner is built in PHP language and can complement the official tourism travel information website by Tourism Bureau, MOTC. Hence, the FIT could get the quickest routes to reach the destinations without compiling the public transportation information provided independently.
Understanding Ride-Hailing Adoption Among Generation Z in Malang: An Integrated TPB-TAM Framework Putri, Amalia Romadhona Ghiffarri; Darmawan, Vertic Eridani Budi; Chen, Yuh Wen
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 2 (2025): December 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.2.177-188

Abstract

This study examines the factors influencing the choice of ride-hailing modes among Generation Z (15-29 years old) in Malang City, given their dominance as the largest user group of ride-hailing services in Indonesia. The analysis will combine the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to understand the key drivers behind their decisions to use ride-hailing services. The study surveyed 406 respondents through purposive sampling, focusing on residents of Malang who actively use ride-hailing services such as Grab, Gojek, Maxim, or inDrive. SEM was used to explain the relationships among variables, whereas MGA-PLS was applied to analyze differences by gender and vehicle ownership. Results also show that Ease of Use (KPN) significantly influences Usefulness (K) of the ride-hailing service. While both variables also positively influence Attitudes toward ride-hailing, leading to a stronger Intention to choose these services. Furthermore, Attitude (S) and Subjective Norm (NS) appear to be significant predictors of Intention (N), which in turn has a substantial impact on Behavior. The MGA-PLS results indicate that females are more influenced by Ease of Use (KPN) and Usefulness (K), whereas car owners tend to rely more on Ease of Use (KPN) when assessing Usefulness (K). These findings not only strengthen the integrated TPB-TAM framework in the context of secondary cities in Indonesia but also offer practical insights for designing more targeted and inclusive ride-hailing strategies based on user demographics.