Claim Missing Document
Check
Articles

Evaluation Of Penataran Train Fares During The COVID-19 Pandemic Using Atp-Wtp Methods Achmad Wicaksono; Nur Aldi Firmansyah; Muhammad Ruslin Anwar
Rekayasa Sipil Vol. 16 No. 3 (2022): Rekayasa Sipil Vol.16. No.3
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2022.016.03.7

Abstract

Indonesian Railways Company must increase the fare for the Penataran Train due to additional operational costs in providing the COVID-19 health protocol. On the other hand, people experience a reduction in monthly income due to the lack of activities outside the home. Ticket prices must be adjusted to determine the number of subsidies borne by the government. This study aims to evaluate the fare of the Penataran Train using the Ability To Pay (ATP) and Willingness To Pay (WTP) methods. Questionnaires have been distributed to 417 respondents using the Google Form application. The results showed that the ATP was higher than the WTP 1 without passenger expectations, and the ATP was lower than the WTP 2 with passenger expectations. Restriction of seating capacity is the most expected service by respondents. The recommended fare is IDR 33,478.00/trip, and the public service obligation is IDR 54,816.00/trip.
Ride-Hailing Quality Gaps and Improvement Priorities: SERVQUAL-Kano Study in Mid-Sized Indonesian City Fadiyah Ghina Salsabila; Achmad Wicaksono; Agus Dwi Wicaksono
Engineering Science Letter Vol. 5 No. 02 (2026): In Press - Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.002289

Abstract

Digitalization has accelerated ride-hailing growth by offering urban commuters convenience and flexibility. In Indonesia, rising usage has intensified competition among platforms such as Grab and its rivals. Despite its extensive reach, Grab continues to face negative perceptions concerning pricing, inconsistent service, and suboptimal user experiences, which erode customer satisfaction and loyalty. Malang City was selected for its high mobility and rapidly growing user base. As a mid-size city with moderate density and growing transport demand, Malang is suitable for studying ride-hailing beyond megacities. This study integrates SERVQUAL and the Kano Model to identify, classify, and prioritize service attributes influencing GrabBike user satisfaction. A purposive sample of 385 respondents completed an online survey (Google Forms) between December 2025 and January 2026. The overall quality ratio (Q) was 0.85, and Tangibles was the lowest performing dimension. RL4 (fare suitability) recorded the largest gap (-1.65), a critical priority. Kano classification yielded 7 Must-Be, 3 One-Dimensional, 3 Attractive, 1 Indifferent, and 1 Reverse attributes. This integrated approach constitutes a novel, data-driven framework for prioritizing service enhancements. The findings provide guidance to remedy dissatisfiers and invest in delight-enhancing attributes, while establishing local quality benchmarks for policymakers.