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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. 3 No. 3 (2025): July 2025" : 5 Documents clear
Collaboration, Agility, and Redundancy: Key Strategies for Managing Global Supply Chain Disruptions Kencono, Uvi Dwian; Marjan, Yakuttinah; Putra, Dimas Endrawan; Zulkarnain , Ahnis
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1064

Abstract

Global supply chains have become highly vulnerable to disruptions caused by pandemics, geopolitical conflicts, trade wars, and sustainability pressures. This narrative review synthesizes existing research on risk management strategies with a focus on resilience, collaboration, sustainability, and strategic intelligence. Literature searches were conducted in Scopus, Web of Science, and Google Scholar, covering studies published between 2010 and 2024. The findings highlight resilience strategies—such as redundancy, agility, and digitalization—as essential mechanisms for mitigating disruptions. Redundancy reduces operational vulnerabilities through buffer inventories and multiple sourcing, while agility enables rapid adjustments to volatile conditions. Digitalization further enhances resilience by improving real-time monitoring and decision-making. Collaborative governance and risk-sharing contracts strengthen supply chain networks by fostering trust and distributing risks equitably. Geopolitical events and the COVID-19 pandemic illustrate the fragility of global networks, emphasizing the importance of supplier diversification, localization, and technological preparedness. Sustainability-related risks, including environmental, social, and governance (ESG) issues, require integrated frameworks that align resilience strategies with ethical and regulatory imperatives. Strategic intelligence emerges as a dynamic capability that supports proactive adaptation and recovery. This review concludes that effective supply chain risk management requires integrated and adaptive frameworks combining resilience, collaboration, and intelligence. Policy support, investment in logistics infrastructure, and targeted strategies for small and medium-sized enterprises (SMEs) are critical for building sustainable and competitive global supply chains in an increasingly uncertain environment,
Public-Private Partnerships for Sustainable and Equitable Transportation Infrastructure Wasil, Mohammad; Setiadi
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1074

Abstract

This review examines the role of Public-Private Partnerships (PPPs) in advancing sustainable and equitable transportation infrastructure. The findings highlight that clear governance frameworks and transparent regulations are central to building investor confidence and ensuring project success. Effective risk management strategies, such as demand forecasting and Build-Operate-Transfer models, enhance financial viability, while social inclusion and environmental sustainability can be strengthened through community engagement and green technologies. However, persistent challenges in developing countries—weak institutions, regulatory inconsistency, and economic instability—limit effectiveness. This review contributes by synthesizing comparative insights across global contexts and emphasizing the systemic factors that shape PPP outcomes.
Innovations and Challenges in Global Air Cargo Logistics Setiadi
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1094

Abstract

Air cargo logistics has become a critical enabler of global trade and e-commerce, requiring rapid adaptation to technological innovation and evolving regulatory environments. This study examines how efficiency, technological advancement, and regulation interact to shape the future of the sector. A systematic narrative review was conducted using Scopus, Web of Science, and Google Scholar, applying targeted keywords and rigorous inclusion criteria. Findings reveal that efficiency improvements are strongly linked to optimization algorithms and automation, which reduce costs and handling times. Emerging technologies such as drones, digital twins, and artificial intelligence expand logistical capabilities by enabling real-time monitoring, predictive analytics, and improved accessibility. Regulatory frameworks established by the FAA, EASA, and IATA exert decisive influence on adoption, underscoring the importance of adaptive and harmonized policies. Sustainability and resilience also emerge as central, with green logistics initiatives and pandemic responses demonstrating the interdependence of efficiency, environmental responsibility, and systemic adaptability. This review highlights that the trajectory of global air cargo logistics will depend on policies that balance innovation with sustainability and safety.
Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals Widayat, Tri Agung; Mintje, Quirina Ariantji Patrisia; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1147

Abstract

Driver stress poses significant risks to traffic safety, impairing attention, decision-making, and reaction time. Traditional monitoring methods often lack sensitivity. This study proposes and validates a novel multimodal framework that integrates synchronized eye-tracking and physiological data to significantly enhance the sensitivity and real-time accuracy of driver stress detection, addressing limitations of earlier unimodal approaches. Thirty licensed drivers participated in simulated driving tasks under baseline and stress-induced conditions. Eye-tracking metrics (pupil diameter, fixation duration, blink rate) and physiological signals (heart rate, skin conductance, heart rate variability) were collected. Data were synchronized and analyzed using Linear Discriminant Analysis (LDA) and other machine learning models to classify stress conditions. Under stress, pupil dilation increased by 20%, blink rate rose by 35%, and gaze spread narrowed, indicating visual tunneling. Physiologically, heart rate increased by 17%, skin conductance by 31%, and HRV decreased by 19%. The combined multimodal model achieved 91.4% classification accuracy, outperforming unimodal approaches. These results align with previous research showing that multimodal systems provide more reliable stress detection by integrating visual and autonomic markers. The findings highlight the system’s potential for real-time applications in Driver Monitoring Systems (DMS). Multimodal integration of eye-tracking and physiological signals enhances the sensitivity and reliability of driver stress detection. This approach offers a foundation for intelligent, adaptive DMS capable of improving road safety. Future work should focus on real-world validation and ethical implementation strategies. These findings demonstrate that multimodal integration provides a more comprehensive understanding of driver stress through complementary visual and autonomic indicators. The proposed framework forms a foundation for intelligent, adaptive Driver Monitoring Systems (DMS) capable of real-time stress recognition and proactive safety intervention.
Unlocking Renewable Potential in Logistics Hubs: Policy Frameworks for Inclusive Energy Transitions udijanto, Loso; Wibowo, Untung Lestari Nur; Putra, Dimas Endrawan
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1148

Abstract

Logistics hubs play a vital role in global decarbonization due to their high energy use and strategic position within supply chains, yet they are often excluded from national renewable energy policies. This exclusion limits their potential to become active clean energy producers. This study examines the regulatory and institutional barriers that hinder renewable energy integration in logistics hubs and proposes an inclusive policy roadmap tailored for this sector—offering a novel contribution beyond prior studies focused on residential and industrial contexts. Using a comparative methodology, the research analyzes energy regulatory frameworks across Germany, Brazil, the UAE, Indonesia, and the United States. Data were collected from government reports, institutional documents, and peer-reviewed studies. A hybrid analytical framework combining stakeholder mapping and policy categorization was employed to identify existing gaps and opportunities. The findings show that logistics hubs are frequently excluded from mechanisms such as net metering, feed-in tariffs, and tax incentives due to outdated classifications that overlook their dual industrial-service roles. Case studies from Germany, Brazil, and the UAE highlight the effectiveness of targeted measures like grid fast-tracking, specific subsidies, and integrated municipal approaches in advancing renewable adoption. Furthermore, strong public-private partnerships and dynamic pricing systems are key to aligning logistics operations with renewable goals. The study concludes that infrastructure development must be complemented by policy innovation through harmonized, inclusive, and multi-level governance to embed logistics hubs effectively in renewable energy strategies.

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