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All Journal Smart City Jurnal Jalan Jembatan
Prih Raharjo, Efendhi
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Civil Engineering, Building, Construction & Architecture

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Mobility Index Towards Heritage Tourism Area, Case Study: Borobudur, Prambanan, And Ratu Boko Pungki Aji, Kurniawan; Kusuma, Andyka; Prih Raharjo, Efendhi
Smart City Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

Mobility has become a crucial factor in transportation management, especially in the tourism sector. It is a key indicator of the performance of transportation infrastructure and people's response to it. To evaluate mobility in tourist areas, there is a need for tools to represent its value. In this study, the concept of an index as a measure of performance is applied, gathering information into a simpler and more mutually agreeable form. The cultural heritage sites of Borobudur, Prambanan, and Ratu Boko are chosen as an ideal study location due to their popularity internationally. Given the limitations of previous research on mobility indexes in tourist areas, the Sustainable Urban Mobility Index (I_SUM) framework is used to develop the variables. To avoid bias, this study utilizes expert opinion methods to assess necessary and unnecessary variables in achieving the index. Eight individuals with expertise and experience in transportation and tourism are selected as respondents. Furthermore, the expert evaluation results are processed using the Content Validity Index (CVI). The outcome is 26 variables that meet the validation test out of a total of 32 previous variables, which are divided into five domains, covering accessibility, social aspects, transportation infrastructure, traffic cycle, and transportation systems.
UPDATING THE TOLL ROAD SERVICE QUALITY (TRSQ) MODEL THROUGH THE INTEGRATION OF AI-BASED TECHNOLOGICAL INNOVATIONS Prastiyo, Imam; Prih Raharjo, Efendhi; Maimunah, Siti
Jurnal Jalan Jembatan Vol 42 No 2 (2025)
Publisher : Direktorat Bina Teknik Jalan dan Jembatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58499/jatan.v42i2.1386

Abstract

Toll roads can play a vital role in supporting mobility, logistics, and regional economic growth. However, issues such as congestion, declining road quality, and limited real-time information systems often hinder service performance. This study aims to update the Toll Road Service Quality (TRSQ) model by integrating artificial intelligence (AI)-based technological innovations as a mediating variable to enhance excellent toll road services. Using a quantitative explanatory approach, data were collected from 480 users of the Pemalang–Batang Toll Road via a questionnaire survey. Data analysis employed SmartPLS to test causal relationships among TRSQ variables, which include information, accessibility, reliability, mobility, safety and security, rest areas, and responsiveness. Results show that all TRSQ variables significantly influence service excellence, both directly and through technology as a mediator. Priority indicators identified include toll gate queue length, availability of road markings and information boards, traffic flow, real-time traffic updates, and service comfort. The study highlights the urgency of applying AI-based intelligent transportation systems—such as innovative CCTV, remote sensors, and automated information management—to optimise toll road performance, improve user satisfaction, and strengthen sustainable transport services. Keywords: artificial intelligence, smartpls, technological innovation, toll road service, TRSQ model, user satisfaction
Co-Authors Kusuma, Andyka Prastiyo, Imam Pungki Aji, Kurniawan Siti Maimunah