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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknologi Kedirgantaraan (JTK) Journal of Science Technology (JoSTec) Sinergi International Journal of Education Novatio : Journal of Management Technology and Innovation Logistica : Journal of Logistic and Transportation
Wibowo, Untung Lestari Nur
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Materials Science & Nanotechnology Physics Transportation

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Journal : Logistica : Journal of Logistic and Transportation

 1 
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.
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.
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.
Co-Authors Daniel Dewantoro Rumani Dharma, I Made Dwi Surya Endrawati, Rizki Ocsera Hariri, Ahmad Jakfar Judijanto, Loso Lubis, Julianto Luwihono, Andung Muhamad Khoirul Anam Muhammad Nur Cahyo Hidayat Nasrullah Prasojo, Genny Luhung Pratiwi, Sekar Widyastuti Putra, Dimas Endrawan Rahmanda, Nauffal Daffa Sabang, Yusmiaty Sulung, Sabam Danny udijanto, Loso Wisnu Kuncoro, Wisnu Yuda, Fardan Zeda Achmadi