Article Per Year (5 Year)
p-Index From 2021 - 2026
1.642
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Manajemen Kesatuan Community Development Journal: Jurnal Pengabdian Masyarakat Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Jurnal Manajemen Bisnis Transportasi dan Logistik Scriptura: Jurnal Ilmiah Komunikasi Journal of Innovative and Creativity Siber Journal of Transportation and Logistics Greenation Management and Business Review (GMBR)
Devi Ratnasari
Institut Transportasi Dan Logistik Trisakti
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Transportation Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
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 Agus Nugroho Aisyah Rachmawati Anandita Shafa Aswanti Setyawati Deni Priansyah Dian Lieska Ocviany Eka Sukmawati Euis Saribanon, Euis Freda Habib Gatot Amar Dwi Hartono Haniva Mulyani Haniva Mulyani Indarno Sugeng Rahardjo Johanes Kurniawan Lucky Bindri Mahardhika Andiansyah Marthaleina Ruminda Mesquito Martins De Jesus Natalia Ayu Hapsari Keke Novi Indah Susanthi Primadi Candra Susanto R Didiet Rachmat Hidayat Reza Fauzi Jaya Sakti Sandrina Marina Sarinah Sihombing Sinung Try Nugroho Siska Amonalisa Silalahi Siska Amonalisa Silalahi Siti Nurhayati Soma Ariyaka Sugiyanto Sugiyanto Tedy Herdian Totok Suryono Veronica Veronica Yolla Ayutia Yosi Pahala Yulianti Keke