Analisis Technopreneurship Sistem Smart OBM Berbasis IoT Untuk Mitigasi ODOL Dan Efisiensi Operasional Angkutan Barang

Authors

DOI:

https://doi.org/10.31294/jab.v6i1.13796

Keywords:

Smart OBM, IoT, ODOL, Technopreneurship, Efisiensi Logistik

Abstract

Penelitian ini menganalisis rancangan Smart On-Board Mass (Smart OBM) berbasis Internet of Things sebagai inovasi technopreneurship untuk meningkatkan pengawasan muatan dan efisiensi operasional angkutan barang. Penelitian menggunakan pendekatan kuantitatif eksplanatori berbasis simulasi karena implementasi Smart OBM belum tersedia luas sebagai objek uji lapangan di Indonesia. Dataset terdiri atas 60 observasi truck-month yang dibangun dari laporan resmi, standar teknis, regulasi, dan skenario operasi legal versus ODOL. Data dianalisis menggunakan regresi jalur dan uji mediasi bootstrap 5.000 resampling. Hasil simulasi menunjukkan bahwa Smart OBM berpengaruh positif terhadap efisiensi operasional (a = 44,796; p < 0,001; CI 95% = 39,675-49,916), sedangkan efisiensi operasional berpengaruh positif terhadap kelayakan bisnis (b = 0,618; p < 0,001; CI 95% = 0,466-0,769). Efek tidak langsung sebesar 27,716 dengan CI bootstrap 95% = 21,607-33,433 menunjukkan mediasi penuh. Temuan ini memperlihatkan bahwa teknologi kepatuhan berpotensi menciptakan nilai bisnis melalui penghematan biaya dan stabilitas operasi, namun perlu divalidasi melalui pilot project.

References

Alam, M. R., & Guo, Z. (2023). A review on the charging station planning and fleet operation for electric freight vehicles. Transportation Research Part D: Transport and Environment, 123, 103923.

Badan Pusat Statistik. (2024). Statistik Transportasi Darat 2023. Jakarta: Badan Pusat Statistik.

Barbado, A., & Corcho, O. (2021). Vehicle fuel optimization under real-world driving conditions: An explainable artificial intelligence approach. Transportation Research Procedia, 52, 491-498.

Ghaffarpasand, O., Burke, M., Osei, K., Ursell, H., & Chapman, S. (2022). An intelligent fleet management system for sustainable urban logistics. Sustainability, 14(6), 3628.

Guandalini, I. (2022). Sustainability through digital transformation: A systematic literature review for research guidance. Journal of Business Research, 148, 456-471.

Helo, P., & Thai, V. V. (2024). Digitalization of logistics and supply chains: Enabling technologies and operational performance. International Journal of Logistics Management, 35(2), 321-344.

Kementerian Perhubungan Republik Indonesia. (2023). Laporan Kinerja Direktorat Jenderal Perhubungan Darat Tahun 2023. Jakarta: Kementerian Perhubungan.

Kementerian Pekerjaan Umum dan Perumahan Rakyat. (2020). Laporan Kinerja Instansi Pemerintah: Dampak kendaraan Over Dimension Over Loading terhadap infrastruktur jalan. Jakarta: Kementerian PUPR.

Le, T. V., & Fan, R. (2023). Digital twins for logistics and supply chain systems: Literature review, conceptual framework, research potential, and practical challenges. Computers & Industrial Engineering, 176, 108927.

National Heavy Vehicle Regulator. (2023). On-board mass systems and telematics monitoring: Guidance for heavy vehicle operators. Brisbane: NHVR.

Osterwalder, A., & Pigneur, Y. (2020). Business model generation: A handbook for visionaries, game changers, and challengers. Hoboken: John Wiley & Sons.

Raj, E., Westerlund, M., & Espinosa-Leal, L. (2021). Reliable fleet analytics for edge IoT solutions. IEEE Access, 9, 13087-13102.

Sharma, H., Garg, R., Sewani, H., & Kashef, R. (2023). Towards sustainable and ethical supply chain management: The potential of IoT solutions. Internet of Things, 22, 100750.

Siagian, H., Tarigan, Z. J. H., & Jie, F. (2023). Supply chain digitalization and operational performance in emerging economies. Uncertain Supply Chain Management, 11(1), 1-12.

Teece, D. J. (2023). The evolution of the dynamic capabilities framework. Strategic Management Review, 4(1), 1-22.

Transport Certification Australia. (2020). Smart On-Board Mass system functional and technical specification. Melbourne: TCA.

Wijaya, K., & Pratama, R. (2023). Integrasi big data dan IoT dalam manajemen rantai pasok digital di Indonesia. Jurnal Manajemen Teknologi, 22(1), 34-48.

World Bank. (2023). Logistics performance index 2023: Connecting to compete. Washington, DC: World Bank.

Yang, Z., Han, K., Liao, L., & Wu, J. (2024). Using multi-source data to identify high-emitting heavy-duty diesel vehicles. Transportation Research Part D: Transport and Environment, 131, 104215.

Zhang, Y., Li, X., & Wang, S. (2022). Internet of Things-enabled logistics service quality and operational efficiency. Journal of Cleaner Production, 356, 131829

Downloads

Published

2026-05-31

Issue

Section

Articles