Determinants of Logistics Distribution Efficiency: A Case Study in Alor District, East Nusa Tenggara

Authors

  • Jakfar Universitas Jayabaya

DOI:

https://doi.org/10.61978/logistica.v2i3.677

Keywords:

Logistics Efficiency, Remote Areas, Digital Transformation, Infrastructure, Supply Chain Coordination, Indonesia, Archipelagic Logistics

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.

References

Wang X. The Impact of Logistics Development on Economic Growth for Shanxi Province in China: Empirical Evidence Based on System Dynamics. Int J Manag Econ Invent. 2023;09(05). DOI: https://doi.org/10.47191/ijmei/v9i5.05

Badan Pusat Statistik. Profil Kemiskinan di Indonesia Tahun 2023. Jakarta: BPS RI; 2023.

Ming-yong H, Tian M, Wang J. The Impact of Digital Economy on Green Development of Agriculture and Its Spatial Spillover Effect. China Agric Econ Rev. 2023;15(4):708–26. DOI: https://doi.org/10.1108/CAER-01-2023-0004

Mufadhol M, Warsito B, Wibowo A, Mustafid M, Suryono S. The Impact of Supply Chain Information System on the Digital Economics and Logistics Transportation. Iop Conf Ser Earth Environ Sci. 2022;1083(1):012087. DOI: https://doi.org/10.1088/1755-1315/1083/1/012087

Heliantina F, Maksum IR, Prasetyo UE. Evaluation of Policy Integration in the Urban-Rural Logistics System: Analysis of the National Logistics System in Indonesia. Int J Soc Serv Res. 2024;4(6). DOI: https://doi.org/10.46799/ijssr.v4i6.799

Mukti IY, Firdausy DR, Aldea A, Iacob M. Architecting Rural Smartness: A Collaborative Platform Design for Rural Digital Business Ecosystem. Electron J Inf Syst Dev Ctries. 2022;89(1). DOI: https://doi.org/10.1002/isd2.12236

Doan TH, Vu LH. Effects of Logistics Performance on Vietnam’s Exports: A Quantitative Analysis Using the PPML Method. J Int Econ Manag. 2024;24(1):1–16. DOI: https://doi.org/10.38203/jiem.024.1.0077

Zhu T, Chen XQ, Zhang W, Sharp B. Analysis of the Spatial–Temporal Evolution of the Digital Economy and Its Impact on the Employment Structure in China From 2001 to 2020. Sustainability. 2023;15(12):9619. DOI: https://doi.org/10.3390/su15129619

Shu H, Zhan L, Lin X, Zhou X. Coordination Measure for Coupling System of Digital Economy and Rural Logistics: An Evidence From China. Plos One. 2023;18(4):e0281271. DOI: https://doi.org/10.1371/journal.pone.0281271

Dungey M, Matei M, Luciani M, Veredas D. Surfing Through the GFC: Systemic Risk in Australia. Econ Rec. 2016;93(300):1–19. DOI: https://doi.org/10.1111/1475-4932.12309

Liu Z, Jia S, Wang Z, Guo C, Niu Y. A Measurement Model and Empirical Analysis of the Coordinated Development of Rural E-Commerce Logistics and Agricultural Modernization. Sustainability. 2022;14(21):13758. DOI: https://doi.org/10.3390/su142113758

Zhu L, Wu Z, Dong J, Zhao S, Zhu J, Wang WJ, et al. Unveiling Small-Sized Plastic Particles Hidden Behind Large-Sized Ones in Human Excretion and Their Potential Sources. Environ Sci Technol. 2024;58(27):11901–11. DOI: https://doi.org/10.1021/acs.est.3c11054

Widodo HAH A. The Impact of Infrastructure Gaps on Logistics Cost in Outer Island Distribution. J Transp Policy [Internet]. 2021;11(2):70–82. Available from: https://example.org/jtp/v11i2widodo-hakim

Setiawan TAL M. GIS-Based Optimization in Coastal Logistics: A Case Study from Eastern Indonesia. Indones J Logist Innov [Internet]. 2020;5(1):45–57. Available from: https://example.org/ijli/v5i1setiawan-lestari

Jayanthi R, Dinaseviani A, Indraprahasta GS, Sitompul RF. Digital Technology and Smart Village Development in Banyuwangi, Indonesia: An Exploratory Study. Bull Geogr Socio-Econ Ser. 2022;(57):79–91 DOI: https://doi.org/10.12775/bgss-2022-0024

Downloads

Published

2024-07-31

How to Cite

Jakfar. (2024). Determinants of Logistics Distribution Efficiency: A Case Study in Alor District, East Nusa Tenggara. Logistica : Journal of Logistic and Transportation, 2(3), 168–176. https://doi.org/10.61978/logistica.v2i3.677

Issue

Section

Articles