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All Journal EQUILIBRIUM IJEBD (International Journal Of Entrepreneurship And Business Development) International Journal of Economics, Business and Accounting Research (IJEBAR) Idea Pengabdian Masyarakat Jurnal Ekonomi, Bisnis dan Manajemen JURNAL SAINS DAN TEKNOLOGI MARITIM Journal of Economics and Public Health Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital
Samekto, Agus Aji
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Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation

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Impact of Macroeconomic Dynamics on Maritime Transport Development: A Quantitative Analysis Samekto, Agus Aji
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 9 No 2 (2025): IJEBAR: Vol. 9 Issue 2, June 2025
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v9i2.18313

Abstract

This study investigates the dynamic interactions between macroeconomic variables and maritime transport development using time series data from 2000 to 2024. A vector autoregressive (VAR) model was employed to examine the causal linkages among gross domestic product (GDP) growth, fuel price volatility, industrial production, and the maritime freight index. Drawing upon recent literature, the results reveal a statistically significant bidirectional causality between GDP growth and maritime transport performance, confirming the sector’s cyclical dependence on broader economic fluctuations. The findings also show that fuel price volatility exerts a negative long-term effect on freight index growth, while industrial production acts as a mediating factor enhancing maritime capacity utilization. Further quantitative analysis indicates that a one-percent increase in GDP leads to an average 0.47 percent growth in maritime freight index performance, whereas a one-percent rise in fuel price volatility reduces it by 0.21 percent. The analysis supports the assertion that maritime logistics efficiency is closely linked to macroeconomic stability, technological adaptation, and energy transition strategies. The study highlights the need for integrated policy frameworks that synchronize macroeconomic stabilization with maritime infrastructure investments, digitalization, and decarbonization strategies to ensure sustainable maritime growth. This paper contributes to contemporary discourse by offering empirical evidence of the macroeconomic sensitivity of maritime transport development in emerging economies, emphasizing quantitative linkages often underexplored in existing literature.
Digital Transformation and Operational Productivity of Maritime Transport Enterprises: Evidence from Global and Indonesian Contexts Samekto, Agus Aji
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 8 No 4 (2025): July 2025
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v8i4.3453

Abstract

This study examines the influence of digital transformation on the operational productivity of maritime transport enterprises, integrating both global evidence and Indonesian maritime sector data. Using panel data from 58 maritime companies over 2018–2024, we apply quantitative regression analyses to assess the elasticity between digital integration and key operational outcomes, including fuel efficiency, voyage duration, and port turnaround time. The results indicate a significant positive elasticity of 0.42 between digitalization indices—encompassing blockchain-based logistics, artificial intelligence-assisted scheduling, and smart gate systems—and productivity growth. Firms adopting advanced digital tools demonstrate a 15–22 percent improvement in energy cost efficiency and a 10–14 percent reduction in carbon emissions, corroborating literature on maritime decarbonization, green supply chains, and smart port operations. Moreover, mediation analyses reveal that digital maturity significantly enhances the effectiveness of fuel management and scheduling systems, while robust governance and risk management frameworks amplify these effects. These findings provide actionable insights for policymakers and maritime managers seeking to enhance sustainable operational performance through structured digital adoption.
Sustainable Maritime Human Capital Development: A Quantitative Analysis Samekto, Agus Aji
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 8 No 5 (2025): September 2025
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/ijebd.v8i5.3454

Abstract

Purpose: This study investigates the quantitative relationship between digital education systems and sustainability competence among maritime students across ten maritime higher education institutions in Asia and Europe from 2019 to 2024. Design/methodology/approach: Using a multiple linear regression model, data were collected through institutional academic records, learning management system (LMS) analytics, and standardized sustainability competence tests, comprising a total of 2,845 valid student observations. Findings: The findings reveal that the integration of digital pedagogy significantly enhances sustainability-related learning outcomes, with competence scores increasing by 29% (p < 0.01). Furthermore, the correlation coefficient between digital education adoption and sustainability competence reached 0.68, indicating a strong positive association. The study demonstrates that digital transformation in maritime education directly supports the development of human capital capable of managing sustainable maritime operations. These results underline the urgency of aligning human resource strategies with digital transition policies in maritime academies to ensure long-term sectoral sustainability. Paper type: Research paper
AI-Based Scheduling for Cost-Effective Maritime Energy Management Samekto, Agus Aji
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 9 No 3 (2025): IJEBAR: Vol. 9, Issue 3, September 2025
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v9i3.18314

Abstract

This study investigates the role of artificial intelligence-based scheduling in optimizing maritime energy management systems to enhance sustainability and cost efficiency. Using quantitative analysis derived from real-time operational data of 15 international shipping routes between 2015 and 2024, the research applies multi-vector energy optimization models that integrate machine learning-based predictive scheduling, port turnaround time analysis, and adaptive fuel management algorithms. The empirical findings indicate that artificial intelligence scheduling reduces overall operational energy consumption by 14–18% and improves system reliability by approximately 25%, while achieving significant reductions in carbon intensity compared with conventional scheduling practices. Regression and sensitivity analyses confirm that adaptive optimization in voyage planning contributes directly to both financial and environmental performance improvement. The study concludes that AI-driven scheduling frameworks provide a measurable pathway toward achieving International Maritime Organization decarbonization targets and ensuring economically viable shipping operations in a competitive global environment.
Co-Authors Amalia, Listiati Amin Kuncoro, Amin Astuti, Widji - Faisal, Mochamad Mindrawati, Deny Nitalia Pamungkas, Fajar Rahmat Budi Santoso Roesjanto, Roesjanto Santoso, Kurniawan Teguh Sudarman Sudarman Sulistyowati Sulistyowati Sumantri, Andar Sri Supriyanto Supriyanto Wibowo, Purnomo Ari