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Logistica : Journal of Logistic and Transportation
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 30322766     DOI : https://doi.org/10.61978/logistica
Core Subject : Engineering,
Transportation
Logistica : Journal of Logistic and Transportation with ISSN Number 3032-2766 (Online) published by Indonesian Scientific Publication, is a leading scholarly journal that has undergone rigorous peer review and operates under an open-access model. Since its inception, Logistica has been dedicated to publishing high-quality research papers, analyses, and innovations in the fields of logistics and transportation. The journal ensures that all published articles meet the highest standards of scientific integrity through a stringent peer-review process. As an academic platform, Logistica supports theoretical and practical explorations in logistics management, transportation engineering, supply chain optimization, and transportation policy. With a focus on global challenges and sustainable solutions, the journal aims to be a premier forum for academics, practitioners, policymakers, and educators to share discoveries, strategies, and best practices in managing the complexities of modern logistics and transportation systems.
Arjuna Subject : Ilmu Sosial - Transportasi
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 4 (2024): October 2024" : 5 Documents clear
Effectiveness of Truck Time Restrictions in West Java Industrial Corridor Pasa, Inda Tri; Prayitno, Hadi; Slamet, Asep Gunawan; Wahyuni, Endang
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.686

Abstract

This study investigates the impact of truck operational time restrictions on traffic safety and congestion in West Java’s industrial corridors. As freight traffic intensifies across key logistic routes such as Cikarang–Karawang, policymakers introduced peak-hour bans on heavy-duty vehicles to alleviate congestion and enhance road safety. Employing a qualitative-descriptive approach, the study collected data through in-depth interviews, field observations, and official reports. Results reveal a dual impact: while congestion and accident rates declined during restricted hours, the policy induced new challenges, including secondary congestion near access points, increased fatigue among night-driving truckers, and unequal compliance among logistics stakeholders. Larger logistics companies successfully adapted by integrating digital scheduling and real-time monitoring, while SMEs encountered structural barriers in policy adaptation due to limited access to technology and information. Inconsistent enforcement and lack of policy awareness also hampered regulatory effectiveness. The discussion emphasizes the need for a balanced approach one that combines regulatory intervention with affirmative support for small-scale actors, and investments in smart enforcement technologies. The findings offer valuable insights for developing inclusive, context-sensitive transport policies in industrially dynamic regions
Green Logistics in Practice, A Qualitative Study of Port Sustainability in Eastern Indonesia Wasil, Mohammad; Jakfar; Firdaus, Muhammad Iqbal
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.687

Abstract

This study examines the implementation of green logistics strategies in freight transportation at Soekarno Hatta Port, Makassar. Data were collected over three months (July–September 2024) through in-depth interviews with 15 informants, participatory observation, and document analysis. Informants represented port authorities, logistics operators, truck drivers, government officials, and academics. Findings show that 9 of 15 informants at managerial level demonstrated high awareness of green logistics, while most operational staff (6 drivers and dock operators) had limited knowledge. Existing initiatives include optimized truck scheduling to reduce idle time and partial electrification of cargo handling equipment. However, barriers such as the lack of electric vehicle infrastructure, absence of regional regulations, and limited sustainability training hinder broader adoption. The study recommends integrating digital emission monitoring, introducing regional fiscal incentives, and developing targeted training programs. By addressing these gaps, Soekarno Hatta Port could become a pioneering model for sustainable logistics in Eastern Indonesia. This research contributes empirically to the discourse on port sustainability by providing localized insights applicable to other regional ports.
Flash Sale Intensity and Delivery Satisfaction: Evidence from Indonesian E-Commerce Platforms Purwanto, Edy; Marina, Sandriana
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.689

Abstract

This study examines the impact of flash sale intensity on delivery service satisfaction across five critical dimensions: timeliness, product condition, tracking accuracy, return ease, and courier professionalism, focusing on leading Indonesian e-commerce platforms. Flash sales have become one of the most prominent promotional strategies in Indonesia’s rapidly growing digital market, yet they frequently generate logistical challenges such as inventory overload, courier delays, and system inefficiencies. A quantitative survey was conducted with 212 Indonesian consumers who participated in national flash sale events (e.g., 11.11, 12.12). Satisfaction levels were measured using Likert scale items, and the data were analyzed with Pearson correlation and linear regression. The results show significant negative correlations between flash sale intensity and delivery timeliness, product condition, and courier professionalism. Tracking accuracy was moderately affected, while return ease showed no significant relationship. These findings highlight how high-volume promotions strain logistics infrastructure, leading to delivery inefficiencies. The study contributes by filling a research gap in Indonesian e-commerce, offering a multidimensional assessment of delivery service during promotional surges. It recommends practical strategies such as investments in scalable logistics infrastructure, integration of advanced tracking systems, third-party logistics partnerships, and courier training programs to enhance resilience during peak demand. This evidence provides actionable insights for platforms aiming to maintain consumer trust and service quality amid rapid promotional growth.
Bridging Gaps in Transport Demand Forecasting through Artificial Intelligence and Machine Learning Masito, Fitri; Toja, Andi Batari; Judijanto, Loso
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.1065

Abstract

Artificial Intelligence (AI) has emerged as a transformative tool for transportation demand forecasting, addressing the limitations of traditional statistical approaches. This study systematically reviews recent literature to evaluate AI methodologies, their applications, and the systemic factors that shape adoption. Peer-reviewed studies published between 2018 and 2025 were identified from Scopus, Web of Science, and Google Scholar. Findings reveal that AI techniques, particularly deep learning and ensemble models, consistently outperform conventional forecasting methods in predictive accuracy and adaptability. Integration of spatio-temporal and geospatial data further enhances model robustness, supporting more responsive strategies for sustainable urban mobility. Applications span passenger transport, freight logistics, public transit optimization, and electric vehicle charging demand. Nonetheless, challenges persist, including data scarcity, computational demands, interpretability concerns, and uneven adoption between developed and developing regions. The review underscores the need for supportive policies, collaborative data management, and fairness-aware models. Overall, leveraging AI in transport forecasting is essential to build efficient, adaptive, and inclusive mobility systems while aligning future research with long-term planning and sustainability goals.
Overcoming Barriers to Electric Freight Vehicle Adoption: A Narrative Review of Global Evidence Hariri, Ahmad; Zulkarnain , Ahnis
Logistica : Journal of Logistic and Transportation Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i4.1066

Abstract

The rapid growth of urban logistics has intensified concerns about sustainability, making Electric Freight Vehicles (EFVs) a critical innovation for reducing greenhouse gas emissions and improving urban air quality. This study aims to provide a narrative review of the factors influencing EFV adoption, with a focus on technological, economic, infrastructural, and policy dimensions. Literature was systematically retrieved from major databases, including Scopus, Web of Science, IEEE Xplore, and Google Scholar, using targeted keywords related to EFVs, sustainable logistics, charging infrastructure, and adoption policies. Inclusion criteria emphasized empirical studies, case analyses, and decision-making frameworks relevant to urban freight logistics. Findings reveal that technological barriers, particularly limited battery range and insufficient charging networks, remain significant impediments to EFV adoption. Economic considerations, such as high initial investment and retrofitting costs, continue to deter smaller logistics firms, although long-term savings in energy and maintenance strengthen the economic rationale. Policy measures, including subsidies, tax incentives, and Low Emission Zones, have proven effective in accelerating adoption, particularly when aligned with infrastructure development. Cross-country comparisons demonstrate uneven progress, with Norway, the Netherlands, and China leading, while many developing regions lag due to systemic and financial constraints. The discussion emphasizes the need for holistic strategies that integrate policy, infrastructure, and technological innovations. Future research should explore longitudinal policy impacts, innovative charging solutions, and behavioral aspects of adoption to inform more effective pathways toward sustainable urban logistics.

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