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All Journal Journal of Business and Management Journal of Educational, Health and Community Psychology Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) The Asian Journal of Technology Management (AJTM) Ilomata International Journal of Management Jurnal Ilmiah Manajemen Kesatuan Journal of Management - Small and Medium Enterprises (SME's) Ilomata International Journal of Management Kontigensi: Jurnal Ilmiah Manajemen Law Development Journal Jurnal Impresi Indonesia Jurnal Sylva Lestari Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) International Journal of Entrepreneurship, Business, and Creative Economy Logistic and Operation Management Research Journal of Consumer Study and Applied Marketing International Research Journal of Business Studies Journal of Multidisciplinary Academic Business Studies
Nur Budi Mulyono
School of Business and Management, Institut Teknologi Bandung, Indonesia,
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences

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Optimizing Fuel Distribution Costs through Vehicle Routing Problem Modeling in Jakarta-Tanjung Gerem Terminals Hidayat, Dwi Wahyu; Mulyono, Nur Budi
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.3547

Abstract

Fuel distribution in Indonesia faces significant challenges due to high transportation costs, particularly for land-based deliveries in high-volume urban corridors. This study aims to identify inefficiencies in fuel distribution operations and develop optimized routing strategies for a major energy company operating between Jakarta Integrated Terminal and Tanjung Gerem Fuel Terminal. A mixed-method approach was employed, combining Root Cause Analysis to pinpoint cost drivers and Vehicle Routing Problem models to optimize delivery routes. Data were collected through interviews, on-site observations, and internal company records from January 2025. The findings reveal that truck transportation dominates operational expenses, driven by excessive travel distances. The optimized Vehicle Routing Problem model, using multi-supply point strategies and linear programming, significantly reduces travel distances and operational costs while improving truck utilization. This study concludes that data-driven route optimization enhances cost efficiency and supports environmental sustainability by lowering fuel consumption. However, the model’s reliance on static demand assumptions limits its adaptability to real-time variations. Future research should explore dynamic routing models incorporating real-time traffic and demand data to enhance robustness. These findings offer a scalable framework for improving fuel distribution efficiency across other terminals, contributing to cost savings and sustainable logistics practices.
Co-Authors Achmad Ghazali Agus, Anna Amalyah Ahmad, Fithri Halim Aqila, Sarah Ayu Arli, Faris Zharfan Azzahra, Nafisah Dwi Wahyu Hidayat, Dwi Wahyu Fauzih, Raden Muhammad Gatot Yudoko Harun, Hanif Rahman Hasibuan, Ratna Sari Herry Purnomo Imaniya, Taliya Irawan, Bambang Andri Jann Hidajat Tjakraatmadja Johnson, Nuraeni Joko Santoso Joko, Galuh Keiko Nakashima Maharani Maharani, Maharani Miranda, Nabila Mira Mustika Sufiati Purwanegara Nugraha, Indra Qurani, Hamzah Romzul Rafiqi, Bagus Rinekso Soekmadi Takeshi Arai Thomas, Vanessa Tomi, Tomi Utomo Sarjono Putro