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All Journal Studi Akuntansi, Keuangan, dan Manajemen Siber Journal of Transportation and Logistics
Haniva Mulyani
Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Pengaruh Fluktuasi Volume Penumpang Berdasarkan Kategori Hari terhadap Pola Operasi LRT Jabodebek Agus Nugroho; Haniva Mulyani; Dedek Nurannisa; Heriyanto Wibowo; Sinung Tri Nugroho
Studi Akuntansi, Keuangan, dan Manajemen Vol 5 No 2 (2025): Oktober
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/sakman.v5i2.5457

Abstract

Purpose: This study analyzes the impact of differences in passenger volume between weekdays and weekends on the operational patterns of the Jabodebek Light Rail Transit (LRT). The research aims to understand how fluctuations in passenger numbers influence service scheduling and resource allocation for urban mass transportation efficiency. Research Methodology: A quantitative approach was employed using descriptive analysis and non-parametric statistical testing to evaluate passenger volume data. The analysis focused on the period from November 2024 to April 2025. The Mann-Whitney U test was applied to compare weekday and weekend passenger volumes, which were found to fluctuate significantly—exceeding 50% differences between the two periods. Results: Statistical calculations revealed that the Mann-Whitney U test value was 0.000 (assumed 0.0001) with a Z-score of -11.221, and the significance value (Asymp. Sig 2-tailed) was also 0.000 (<0.05). These results indicate that the difference in passenger volume between weekdays and weekends is statistically significant. Conclusions: The findings highlight that the LRT Jabodebek operation pattern must differentiate between weekday, weekend, and special event (e.g., New Year’s Eve, national football matches) schedules to align with fluctuating passenger volumes. Limitations: The research was limited to six months of passenger data, which may not capture annual seasonal variations or special public holidays. Contribution: This study contributes to the understanding of how passenger volume fluctuations influence operational patterns in urban mass transport systems. It offers practical recommendations for operators to design adaptive and cost-efficient service schedules that enhance service quality and passenger satisfaction.
Operational Planning for Railway Services Based on Passenger Demand Forecasting during The Eid Transportation Period Devi Ratnasari; Gatot Amar Dwi Hartono; Totok Suryono; Haniva Mulyani
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1092

Abstract

The Eid al-Fitr Transportation Period represents the peak season with the highest passenger demand for intercity railway services in Indonesia. According to the Ministry of Transportation's mobility survey, the number of travelers was projected to decline from 193.6 million in 2024 to 146.48 million in 2025. This trend also affected the Taksaka Train operating on the Gambir–Yogyakarta round-trip route, which experienced fluctuations in passenger volume over the past three years following the discontinuation of its afternoon service in 2025. Previous studies on railway operation planning have generally not integrated seasonal passenger demand forecasting with specific scheduling decisions during the Eid al-Fitr transportation period. Therefore, this study aims to develop an operational plan recommendation for the Taksaka Train based on passenger demand forecasting to support operational decision-making prior to the 2026 Eid al-Fitr Transportation Period. The study employs simple linear regression analysis using passenger departure and arrival data from Gambir Station for the 2023–2025 period. The forecasting results indicate an upward trend in passenger demand for 2026, reaching an estimated 49,541 passengers, representing an increase of approximately 6,773 passengers (15.8%) compared to 42,768 passengers in 2025. These findings suggest the existence of unmet passenger demand, particularly for afternoon departures. Accordingly, this study recommends reconsidering the reactivation of the Taksaka afternoon service in the 2026 operational planning.
Co-Authors Agus Nugroho Dedek Nurannisa Devi Ratnasari Gatot Amar Dwi Hartono Heriyanto Wibowo Sinung Tri Nugroho Totok Suryono