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Logistica : Journal of Logistic and Transportation
ISSN : -     EISSN : 30322766     DOI : https://doi.org/10.61978/logistica
Core Subject : Engineering,
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.
Articles 5 Documents
Search results for , issue "Vol. 2 No. 3 (2024): July 2024" : 5 Documents clear
Assessing the Role of Logistics Vehicles in Traffic Congestion and Air Pollution: Policy Implications from Surabaya’s CBD Wasil, Mohammad; Pasa, Inda Tri; Prayitno, Hadi; Slamet, Asep Gunawan; Olfebri
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.676

Abstract

Urban freight transport is essential for sustaining city economies, yet its unmanaged growth poses serious risks to mobility and environmental health. This study aims to evaluate the contribution of logistics vehicle operations to traffic congestion and air pollution in Surabaya’s central business district (CBD). Using a qualitative case study approach, data were collected through interviews, field observations, and secondary documentation. Results show that logistics vehicles account for 18–23% of peak-hour traffic, leading to 20–30% longer travel times, while air quality measurements recorded PM₂.₅ levels exceeding WHO thresholds, especially during logistics peak periods. These impacts are largely driven by the absence of delivery time restrictions, outdated vehicle standards, and insufficient infrastructure. Unlike global cities that implement structured freight policies, Surabaya lacks urban consolidation centers, low-emission zones, and delivery scheduling mechanisms, resulting in overlapping freight–commuter flows and heightened emissions. Findings provide evidence-based insights for implementing time-window regulations, low-emission zones, and consolidation hubs in rapidly urbanizing cities. This study contributes to urban freight literature by highlighting the compounded effects of fragmented delivery practices and outdated fleets in a Southeast Asian secondary city, offering a framework for data-driven policy reforms toward sustainable logistics.
Determinants of Logistics Distribution Efficiency: A Case Study in Alor District, East Nusa Tenggara Jakfar
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.677

Abstract

Indonesia’s remote regions face persistent logistical challenges due to geographic fragmentation, infrastructure deficits, and limited digital adoption. This study examines the determinants of logistics distribution efficiency in Alor District, East Nusa Tenggara, using survey data from 150 respondents including logistics operators, government officials, and recipients. Descriptive and inferential analyses, including correlation and multiple linear regression, reveal that logistics information technology is the most influential factor (r = 0.71; β = 0.35), followed by infrastructure quality (r = 0.62; β = 0.28) and supply chain coordination (r = 0.55; β = 0.22), all significant at p < 0.05. These findings highlight the critical role of digital transformation in improving distribution efficiency in archipelagic regions. Practical recommendations include expanding internet connectivity in rural islands, providing digital literacy training for logistics actors, and developing integrated coordination platforms at the district level. Limitations of this study include reliance on self-reported data, potential non-response bias, and the focus on a single district, which may affect generalizability. Future research should incorporate longitudinal data and cross-district comparisons to strengthen evidence on logistics innovation in remote areas.
Humanitarian Logistics in Post-Disaster Response: Lessons from the 2018 Earthquake and Tsunami in Palu and Donggala Primadi, Andri; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.678

Abstract

The increasing frequency of natural disasters highlights the importance of efficient humanitarian logistics in post-disaster response. This study examines the logistics challenges and adaptive responses during the 2018 earthquake and tsunami in Palu and Donggala, Indonesia. Interviews with 10 key stakeholders including national agencies, NGOs, military units, and local volunteers were analyzed using thematic analysis. Four themes emerged: infrastructure vulnerabilities, adaptive logistics strategies, multi-actor coordination, and system improvement. Findings show that damaged infrastructure and inconsistent survivor data significantly delayed aid distribution. However, adaptive responses such as drone mapping, logistics hubs, and helicopter drops mitigated accessibility barriers. Coordination improved in later phases through joint command posts and national logistics platforms. The study emphasizes the need for integrated logistics information systems and community-based preparedness to strengthen supply chain resilience. Limitations include the small sample size and localized scope, suggesting that future research should involve broader comparative studies across different disaster contexts. This research contributes to humanitarian logistics literature by providing grounded insights into the interplay of systemic risk, adaptive response, and governance in a complex disaster setting.
Barriers and Opportunities in Circular Logistics: A Global Comparative Narrative Review Widayat, Tri Agung; Mintje, Quirina Ariantji Patrisia; Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.1055

Abstract

This study reviews and synthesizes current knowledge on eco-efficient transport models within the frameworks of green logistics and the circular economy. The aim is to evaluate how technological, regulatory, and economic factors influence adoption and implementation. Literature was systematically gathered from major databases such as Scopus, Web of Science, and Google Scholar, using targeted keywords and Boolean search strategies. Inclusion criteria prioritized peer-reviewed articles published between 2018 and 2025 that addressed sustainable logistics, circular supply chains, and digital innovations. The review identified four major themes: drivers, barriers, case studies, and regional comparisons. Findings reveal that digital technologies, including artificial intelligence, blockchain, and the Internet of Things, enhance transparency, traceability, and efficiency. Regulatory frameworks, particularly in Europe, accelerate adoption, while economic incentives strengthen competitiveness. However, barriers persist, especially high initial costs, infrastructural deficits, and weak enforcement in developing economies. Case studies confirm measurable benefits, such as emission reductions and cost savings, while comparative analyses show significant regional disparities. The discussion emphasizes the importance of systemic alignment across policy, markets, and organizational culture to overcome these challenges. Future research is recommended to expand empirical evidence, develop standardized evaluation tools, and examine underrepresented regions. Overall, the review highlights the urgent need for integrated strategies that combine technology, regulation, and collaboration to advance sustainable logistics.
Industry 4.0 and the Future of Supply Chains: A Narrative Review of Digital Integration Judijanto, Loso; Wibowo, Untung Lestari Nur; Putra, Dimas Endrawan; Pratiwi, Sekar Widyastuti
Logistica : Journal of Logistic and Transportation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i3.1056

Abstract

The rapid emergence of Industry 4.0 has reshaped supply chain management by introducing advanced digital technologies such as artificial intelligence, blockchain, Internet of Things, and big data analytics. This study aims to explore how the integration of these technologies influences efficiency, resilience, and sustainability in global supply chains. A systematic literature review was conducted using major academic databases, including Scopus, Web of Science, and Google Scholar, applying carefully selected keywords to identify relevant studies published between 2010 and 2025. Inclusion criteria focused on empirical, conceptual, and review studies addressing digital transformation in supply chain management, while irrelevant and non-peer-reviewed sources were excluded. Results indicate that IoT improves real-time visibility, AI enhances demand forecasting and risk management, blockchain strengthens transparency and trust, and big data analytics provides actionable insights for strategic decision-making. Collectively, these technologies reduce costs, mitigate risks, and support environmental sustainability by reducing waste, emissions, and inefficiencies. However, the findings also reveal systemic barriers, including inadequate infrastructure, limited resources in developing economies, regulatory inconsistencies, and organizational resistance to change. The discussion emphasizes the importance of supportive policies, public–private collaboration, and organizational cultural shifts to enable effective adoption. While theoretical models of digital supply chains are validated, empirical gaps remain, particularly concerning interoperability and long-term impacts. Future research should pursue longitudinal and sector-specific studies to address these limitations. Overall, digital transformation emerges as both a strategic necessity and a pathway toward inclusive, resilient, and sustainable supply chain management.

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