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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. 1 (2025): January 2025" : 5 Documents clear
User Centered Governance and Digital Integration for Inclusive Public Transport: Insights from Palu City Wasil, Mohammad; Wijayanti, Dian; Pahrudin, Cecep
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.690

Abstract

Urban transportation in mid-sized cities often faces declining reliability and inclusivity. This study examines Palu City, Indonesia, where conventional public transport has sharply decreased while app-based services dominate user preference. Using a qualitative descriptive approach with 42 informants including commuters, drivers, officials, and civil society representatives data were collected through interviews, observations, and document review. Findings show that angkot and BRT services suffer from unreliable schedules, poor vehicle conditions, and limited accessibility, especially for elderly and disabled users, while app-based services achieve satisfaction above 90% due to convenience and transparency. Governance constraints include fragmented policies, limited funding, and lack of digital tools. The study recommends four key reforms: (1) user-centered service standards on reliability and safety; (2) inclusive infrastructure with universal design; (3) digital integration through real-time tracking and fare systems; and (4) collaborative governance involving communities and operators. This research is the first systematic evaluation of user satisfaction across multiple transport modes in Palu, contributing a multidimensional framework that links user perceptions with strategic policy recommendations for sustainable mobility in secondary cities.
Heuristic Route Optimization Using Saving Matrix and Nearest Neighbor: Case Study at PT Harapan Jaya Multi Bisnis, Makassar Siswanti, Tutik; Fitrina, Rehani
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.691

Abstract

Indonesia faces disproportionately high logistics costs compared to regional and global peers. This study applies Saving Matrix and Nearest Neighbor algorithms to optimize delivery routes at PT Harapan Jaya Multi Bisnis in Makassar, a key logistics hub in Eastern Indonesia. Using operational data from 2022–2023, the research consolidated 12 delivery routes into 5 optimized routes. The optimization reduced the total delivery distance from 2,772 km to 1,967 km, saving 805 km (29%), and lowered distribution costs by approximately Rp 3.5 million every five working days, resulting in a 70% increase in cost efficiency. These findings highlight the practical benefits of heuristic algorithms in addressing urban logistics inefficiencies under infrastructure constraints. However, the study is limited by reliance on company operational records and does not account for external variables such as fuel price fluctuations or seasonal demand surges. The results provide a replicable framework for logistics firms and policymakers seeking data-driven strategies to reduce logistics costs in Indonesia.
Evaluating Smart Traffic Light Systems for Urban Accident Reduction: A Case Study from Manado, Indonesia Mintje, Quirina Ariantji Patrisia; Nasihien, Ronny Durrotun; Saidah, Deslida
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.693

Abstract

 Introduction & Objective: Traffic congestion and the high rate of vehicular accidents remain major challenges in developing cities such as Manado, Indonesia. The rapid increase in the number of vehicles, unmatched by adequate infrastructure, has resulted in longer waiting times at intersections, higher levels of air pollution, and an elevated risk of accidents. With technological advancements, smart traffic light systems have emerged as innovative solutions in many cities. However, their effectiveness in the context of developing cities like Manado still requires further investigation. Therefore, this study aims to evaluate the effectiveness of smart traffic light systems in improving traffic flow, reducing emissions, and decreasing the number of accidents in Manado City. Methodology: A mixed methods approach was employed, combining retrospective traffic accident data from hospitals and police records with simulation models embedded with IoT and AI technologies. The evaluation focused on key performance indicators, including waiting time, travel time, emissions, and accident probability. Key Results & Discussion: Simulation outcomes revealed reductions of up to 40% in waiting times, 25% in travel times, and 20% in emissions. Retrospective data confirmed accident clusters in high-risk intersections, particularly along Jalan A. A. Maramis. Comparative analysis with international benchmarks further demonstrated that the projected benefits in Manado are consistent with results achieved in cities that have adopted similar technologies. Nevertheless, successful implementation depends on supportive infrastructure, stakeholder collaboration, and adaptive policymaking. Conclusion & Implications: Smart traffic light systems hold significant potential as a strategic intervention to enhance road safety and traffic efficiency in Manado. The integration of localized accident data with predictive simulation models represents the main scientific contribution of this study, offering a replicable framework for other secondary cities in Indonesia. The findings also provide actionable insights for local governments to design smart mobility policies aligned with global smart city agendas.
Transportation Resilience under Climate Change: Infrastructure, Policy, Technology, and Social Dimensions Andrianto, Deny Tomy; Zulkarnain, Ahnis; Yuliantini
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.1067

Abstract

Resilience in transportation systems is increasingly critical as climate change intensifies the frequency and severity of natural disasters. This study aimed to synthesize existing research on strategies that enhance transportation resilience by examining infrastructure, policy frameworks, technological innovations, and socio-economic conditions. A narrative review methodology was employed, with literature collected from Scopus, PubMed, and Google Scholar using targeted keywords such as transportation resilience, natural disasters, infrastructure resilience, and disaster recovery. Inclusion criteria emphasized peer-reviewed empirical and modeling studies published between 2010 and 2025 that directly addressed transportation resilience. The review finds that strengthening physical infrastructure through adaptive design, improved drainage, and advanced engineering reduces vulnerability to floods and earthquakes. Policy frameworks and inter-agency collaboration provide systemic coordination, while technological innovations—including Internet of Things, Artificial Intelligence, and digital twin simulations—significantly enhance predictive capacity and accelerate recovery operations. However, socio-economic disparities remain a central challenge, with developing nations facing extended recovery periods due to limited resources and fragile infrastructure. Cross-country comparisons underscore the importance of aligning resilience strategies with local contexts while promoting global knowledge exchange. Methodological limitations in the literature highlight the need for more interdisciplinary approaches that integrate technical, social, and policy dimensions. Overall, this review demonstrates that a multidimensional approach combining infrastructure reinforcement, governance reforms, technological innovation, and community engagement is essential to strengthen transportation resilience. These findings carry important implications for policymakers, practitioners, and researchers seeking to develop sustainable and adaptive transport systems in the face of escalating disaster risks.
Navigating the Future of Logistics: A Narrative Review of Autonomous Freight Systems Yosepha, Sri Yanthy
Logistica : Journal of Logistic and Transportation Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i1.1068

Abstract

The adoption of autonomous vehicles in freight transport represents a transformative shift in global logistics. However, research remains fragmented regarding the balance between efficiency, sustainability, safety, and user acceptance. This narrative review synthesizes recent empirical studies to identify critical opportunities and challenges in autonomous freight systems. The findings indicate substantial efficiency and cost benefits, particularly through truck platooning and automated last-mile delivery solutions. Environmental outcomes are generally positive, though lifecycle trade-offs such as infrastructure wear and energy sources complicate sustainability claims. Safety concerns persist in mixed-traffic environments, where operational reliability and public trust remain unresolved. User acceptance is shaped by demographic and sectoral factors, with stronger receptivity in industries handling perishable or time-sensitive goods. The review highlights that adoption trajectories are contingent on systemic factors, including regulatory alignment, infrastructure readiness, and financing mechanisms. These insights underscore the need for adaptive policy frameworks, targeted training, and inclusive financing models to ensure that autonomous freight technologies enhance not only efficiency but also long-term sustainability and equity.

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