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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 40 Documents
 1   2   3   4 
Integrating the Unstructured: Ridehailing as a Catalyst in Jakarta’s Multimodal Transport System Zulkarnain, Ahnis; Prasojo, Genny Luhung; Nashrullah
Logistica : Journal of Logistic and Transportation Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i2.701

Abstract

 Jakarta’s public transport system has undergone rapid expansion and integration, aiming to improve accessibility and user experience through initiatives like Jak Lingko. Despite these efforts, first and last mile challenges remain, increasingly addressed by ridehailing services such as Gojek and Grab. This study investigates the extent to which ridehailing supports Jakarta’s multimodal public transport network. A qualitative descriptive approach was employed, using secondary data from BPS Jakarta, Kompas Research 2025, Wikipedia, and the Asian Transport Observatory. The analysis focused on ridehailing usage, ridership trends across MRT, LRT, KRL, and Transjakarta, and Jak Lingko’s fare integration structure. Results reveal that 71.7% of public transport users rely on ridehailing, with 75% using it for first/last mile access. Ridership remains high: Transjakarta (~1M daily), KRL (~984K weekday), MRT (~111K), and LRT (~70K). Integration via Jak Lingko simplifies fare payment but gaps persist in physical connectivity and equity. The study concludes that ridehailing is essential in Jakarta’s transport landscape. Formalizing its role through adaptive policy, public private cooperation, and inclusive governance can ensure more sustainable and accessible urban mobility.
The Impact of Urban Traffic Congestion on the Operational Costs of Logistics Transportation in Bogor City Prasojo, Genny Luhung; Hariri, Ahmad; Abidin, Zaenal
Logistica : Journal of Logistic and Transportation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i2.702

Abstract

Urban traffic congestion is a major challenge for logistics efficiency, particularly in rapidly growing cities like Bogor, Indonesia. This study aims to quantify the impact of traffic congestion on logistics operational costs by analyzing congestion levels and cost components in urban freight transport. A quantitative approach was used, involving 50 logistics fleet respondents from Bogor. Primary data were collected through structured questionnaires measuring daily congestion duration, travel time, average speed, fuel consumption, driver wages, and vehicle maintenance costs. Statistical analysis was conducted using simple linear regression. The results reveal that logistics vehicles experience approximately 95 minutes of congestion daily, with travel speeds reduced to 13.5 km/h. The study finds a strong, positive, and statistically significant relationship between congestion and logistics costs (regression coefficient = 0.674, p < 0.001), with congestion explaining 45.5% of cost variation. Increased fuel consumption, labor costs, and maintenance expenses are the main contributors to operational inefficiencies. These findings underscore how urban congestion increases the cost to serve and diminishes logistics reliability. The study suggests that policymakers adopt adaptive strategies such as smart routing, freight dedicated lanes, and urban consolidation centers. It also calls for greater integration of logistics planning in urban transport systems to enhance resilience and sustainability. These findings contribute to the growing discourse on urban freight efficiency in Southeast Asian cities.
Intrinsic Versus Extrinsic Motivation in Logistics: A Quantitative Analysis of Performance Outcomes Budiyanto, Albert; Masito, Fitri; Toja, Andi Batari
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.733

Abstract

Employee motivation is a critical determinant of organizational performance, particularly in logistics warehousing where efficiency and resilience are paramount. This study investigates the influence of intrinsic and extrinsic motivation on employee performance at PT Aerojasa Cargo using Herzberg’s two-factor theory as a framework. A quantitative survey was conducted with 55 employees selected from 120 using Slovin’s formula. Motivation (knowledge, skills, rewards, behavioral direction, persistence) and performance (accuracy, timeliness, quality, quantity, neatness) were measured through a 5-point Likert-scale questionnaire, and data were analyzed using SPSS 26. Regression analysis revealed a strong correlation (R² = 0.833, p < 0.05), with intrinsic factors such as persistence and recognition emerging as the strongest predictors of performance, surpassing extrinsic motivators like salary. These findings provide robust empirical evidence of the relevance of Herzberg’s theory in Indonesia’s logistics sector and underscore the need for HR strategies that prioritize intrinsic motivators. Practical contributions include designing recognition systems, training, and career development programs to enhance employee persistence and behavioral alignment.
Environmental Determinants of Employee Performance in Air Cargo Logistics: Evidence from Indonesia’s Warehouse Sector Sabang, Yusmiaty; Wibowo, Untung Lestari Nur; Hariri, Ahmad; Jakfar
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.734

Abstract

Background: The work environment is a critical determinant of employee performance, particularly in air cargo logistics where accuracy, speed, and consistency are essential. Despite the increasing focus on technological and automation strategies, environmental conditions remain relatively underexplored. Objective: This study aims to examine the influence of workplace environmental factors on employee performance in the warehouse division of PT Aerojasa Cargo, Jakarta. Method: A quantitative cross-sectional survey was conducted with 55 respondents selected through stratified random sampling. Data were collected using a structured Likert-scale questionnaire measuring five environmental factors (cleanliness, lighting, air circulation, workspace layout, and team collaboration) and five dimensions of performance (accuracy, timeliness, quality, quantity, and neatness). The data were analyzed using descriptive statistics, Pearson correlation, and multiple linear regression. Results: The findings reveal that 69.9% of the variance in employee performance is explained by workplace environmental conditions (R² = 0.699; p < 0.01). Cleanliness and team collaboration emerged as the strongest predictors across all performance dimensions, while lighting and workspace layout also showed significant contributions. Conclusion: A conducive work environment plays a pivotal role in enhancing warehouse employee performance. Practical implications include continuous investment in cleanliness programs, ergonomic workspace redesign, and participatory evaluation mechanisms. Future research should adopt multi-site and longitudinal approaches to strengthen generalizability.
Human Capital Optimization in Logistics: A Quantitative Analysis of Motivational and Environmental Determinants of Performance Herdian, Rofik Sandra; Budiyanto, Albert; Nasrullah, Muhammad Nur Cahyo Hidayat; Hariri, Ahmad; Marini
Logistica : Journal of Logistic and Transportation Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i1.737

Abstract

This study investigates the influence of work motivation and work environment on employee performance within PT Aerojasa Cargo's warehouse division. Recognizing the strategic importance of human capital in logistics, the research aims to evaluate how these two variables interact to affect operational outcomes.Using a quantitative methodology, the study surveyed 55 employees selected through Slovin’s formula. A structured Likert-scale questionnaire measured three core constructs: motivation, work environment, and performance. Data were analyzed using SPSS 26.0, employing descriptive statistics, multiple regression analysis, and validation metrics such as Cronbach’s alpha and R². Key results show that both motivation and work environment significantly impact employee performance (p < 0.05), with a combined explanatory power of 83.3% (R² = 0.833). The work environment demonstrated a slightly higher beta coefficient (β = 0.417) than motivation (β = 0.286), suggesting that physical and social workplace conditions are marginally more influential. Descriptive findings also revealed demographic patterns relevant to performance, including age distribution, education level, and gender roles. These findings align with existing literature and underscore the synergistic importance of fostering motivation and creating supportive work environments. The study concludes that HR managers in logistics should implement dual-focused strategies to enhance both motivational drivers and workplace quality. Such strategies may include high-performance work systems, ergonomic improvements, and continuous feedback mechanisms. This research contributes to the field of organizational behavior by offering empirical support for integrated HRM approaches in logistics, providing a framework for future policy and academic inquiry.
The Future of Last-Mile Logistics: Pathways Toward Sustainable E-Commerce Budiyanto, Albert; Faisal, Ahmad; Putra, Dimas Endrawan; Mintje, Quirina Ariantji Patrisia
Logistica : Journal of Logistic and Transportation Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v2i2.1053

Abstract

The exponential growth of e-commerce has intensified challenges in last-mile delivery logistics, making sustainability a critical priority for researchers, policymakers, and industry practitioners. This study synthesizes existing literature on sustainable practices in last-mile logistics, focusing on economic, environmental, social, and technological dimensions. A narrative review approach was employed, drawing from academic databases such as Scopus, Web of Science, and Google Scholar. Literature was selected using targeted keywords and inclusion criteria to ensure comprehensive coverage of practices ranging from cost efficiency strategies to technological innovations. The results reveal that sustainable logistics practices, such as electric vehicle adoption, route optimization, and crowd logistics, can reduce operational costs, improve customer satisfaction, and decrease carbon emissions. However, disparities between developed and developing countries highlight systemic challenges, including inadequate infrastructure, limited regulatory support, and varying consumer preferences. Social outcomes, including the welfare of couriers and improvements in urban air quality, emphasize the broader societal benefits of sustainability, though labor protections remain underexplored in the literature. Technological advances, particularly GIS-based systems and autonomous vehicles, offer transformative potential but require supportive policy frameworks for effective implementation. The discussion highlights the importance of systemic factors—policy, regulation, and infrastructure—in shaping adoption. This review concludes that sustainable last-mile logistics is essential for aligning economic growth with ecological responsibility and social equity, recommending targeted policies, cross-sector collaboration, and longitudinal research to address current limitations.
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.
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,
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.

Page 3 of 4 | Total Record : 40

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