Transformasi Digital Proses Supply Chain untuk Meningkatkan Efisiensi Operasional Warehouse di Trakindo Batu Hijau Kabupaten Sumbawa Barat-NTB

Authors

  • Slamet Husain Universitas Teknologi Sumbawa
  • Tomy Dwi Cahyono Universitas Teknologi Sumbawa

DOI:

https://doi.org/10.55681/sentri.v5i6.7111

Keywords:

Digital Transformation, Supply Chain, Warehouse Efficiency, PLS-SEM, Mining Equipment.

Abstract

This study aims to empirically examine the digital transformation strategy of supply chain processes to improve warehouse operational efficiency at Trakindo Batu Hijau, West Sumbawa Regency. The mining heavy equipment industry requires high precision and speed in its supply chain, making traditional warehouse operations prone to delays and errors. This research applies a quantitative approach utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4.0 software. The sample consists of 125 respondents who are employees directly involved in supply chain and warehouse operations at Trakindo Batu Hijau, selected using a purposive sampling technique. The independent variables investigated include Warehouse Management System (WMS) Implementation, Internet of Things (IoT) Integration, and Big Data Analytics, while the dependent variable is Warehouse Operational Efficiency. The results reveal that all digital transformation components have a positive and significant effect on warehouse operational efficiency. Specifically, WMS implementation exerts the strongest impact, followed by IoT integration and Big Data Analytics. The R-Square value of 0.765 indicates that 76.5% of the variance in warehouse operational efficiency can be explained by these digital transformation strategies. These findings contribute to the Resource-Based View and Technology Acceptance Model by confirming that digital capabilities are critical assets for enhancing operational performance in remote mining environments. The study recommends that Trakindo Batu Hijau continues to invest in IoT infrastructure and staff training to sustain an agile and resilient supply chain ecosystem.

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References

Barney, J. B. (2021). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643–650.

Bovens, M. (2024). Supply chain accountability in the digital age: A conceptual framework. Journal of Supply Chain Management, 60(1), 15–32.

Chopra, S., & Meindl, P. (2023). Supply chain management: Strategy, planning, and operation (8th ed.). Pearson Education.

Davis, F. D. (2022). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Diana, P., Lestari, B. A. H., & Nurabiah, N. (2024). The role of digital warehouse systems in enhancing supply chain performance in remote locations. Jurnal Aplikasi Bisnis, 8(2), 298–314.

Fatorachian, H., & Kazemi, H. (2025). Impact of Industry 4.0 on supply chain performance: The mediating role of warehouse digital adoption. International Journal of Production Economics, 260, 108873.

Ghadge, A., Er, M., Ivanov, D., & Roberts, M. (2025). Supply chain digital transformation: The impact of big data analytics on warehouse resilience. Supply Chain Management: An International Journal, 30(1), 112–128.

Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., & Childe, S. J. (2024). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 172, 114387.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2024). A primer on partial least squares structural equation modeling (PLS-SEM) (4th ed.). Sage Publications.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2025). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2023). Using partial least squares path modeling in supply chain research: Guidelines and empirical examples. Supply Chain Management: An International Journal, 28(2), 241–255.

Hofmann, E., & Rüsch, M. (2024). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 155, 103932.

Ivanov, D., Dolgui, A., & Sokolov, B. (2023). Cloud supply chain: Integrating Industry 4.0 and digital twins for intelligent warehouse networks. International Journal of Production Research, 61(13), 4212–4228.

Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2023). Achieving sustainable performance in a data-driven agriculture supply chain: A review and theoretical framework. International Journal of Production Economics, 233, 108006.

Kementerian Perindustrian Republik Indonesia. (2023). Peta jalan Making Indonesia 4.0: Sektor alat berat dan permesinan. Kemenperin.

Lin, H.-F. (2014). Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework. Technological Forecasting and Social Change, 86, 80-92. https://doi.org/10.1016/j.techfore.2013.09.001

Mirković, V., Kovač, Z., & Marjanović, U. (2023). Digital transformation of supply chains: A systematic literature review. Procedia Computer Science, 219, 1072–1081.

Nugroho, A., Santoso, B., & Wijaya, T. (2024). The impact of warehouse management system implementation on local distribution efficiency in Indonesian manufacturing. Jurnal Manajemen Teknologi, 23(1), 45–62.

Pratama, R. A. (2025). Digitalisasi rantai pasok dan implikasinya terhadap efisiensi logistik: Studi kasus pada perusahaan tambang nasional. Jurnal Logistik Indonesia, 9(2), 112–130.

Queiroz, M. M., & Wamba, S. F. (2024). Blockchain and AI in supply chain management: Transforming operations and capabilities. International Journal of Information Management, 75, 102711.

Richards, G. (2025). Warehouse management: A complete guide to improving efficiency and minimizing costs in the modern warehouse (5th ed.). Kogan Page Publishers.

Richards, G. (2025). Warehouse management: A complete guide to improving efficiency and minimizing costs in the modern warehouse (5th ed.). Kogan Page Publishers.

Rivan, A., & Maksum, I. R. (2024). Transformasi digital rantai pasok dan pengaruhnya terhadap daya saing perusahaan pertambangan. Jurnal Ekonomi dan Bisnis Terapan, 9(2), 92–100.

Sari, D. P., & Pratama, R. A. (2023). Digitalisasi manajemen persediaan melalui otomasi: Dampak terhadap akuntabilitas dan efisiensi logistik di wilayah NTB. Jurnal Ekonomi Pembangunan, 21(1), 78–95.

Sekaran, U., & Bougie, R. (2023). Research methods for business: A skill-building approach (9th ed.). John Wiley & Sons.

Suryanto, H., & Wibowo, A. (2023). Implementasi WMS dalam meningkatkan akurasi data inventori gudang spare part alat berat. Jurnal Teknik Industri, 24(2), 115–126.

Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2024). Facilities planning (5th ed.). John Wiley & Sons.

Wamba, S. F., Gunasekaran, A., Akter, S., & Dubey, R. (2025). The performance effects of big data analytics and supply chain ambidexterity. International Journal of Production Economics, 222, 107498.

Wang, Y., & Li, J. (2024). Synergistic effects of IoT and big data on warehouse operational efficiency. Journal of Industrial Information Integration, 38, 100570.

Wibowo, A., & Santoso, B. (2024). Pengaruh penggunaan sistem barcode dan RFID terhadap produktivitas picking area di pusat distribusi. Logistics and Supply Chain Management Journal, 12(1), 33–47.

Wijaya, T., & Kusuma, D. (2024). Adopsi teknologi gudang cerdas di era industri 4.0: Analisis determinan dan dampaknya terhadap daya saing. Jurnal Sistem Informasi Bisnis, 14(3), 210–225.

Yoon, K.-W., Kim, S.-H., Jin, B.-J., & Hwang, S.-W. (2011). The relationship between adoption factors, adoption, integration, performance in e-SCM: Focus on Korean firms and supplier in China. Korea Trade Review, 36(2), 165-196.

Zheng, X., Chen, Z., & Liu, M. (2024). Smart warehousing: A comprehensive review of IoT integration and digital twin applications. IEEE Access, 12, 15000–15020.

Zhou, M., Zhao, L., & Wu, X. (2024). Optimization of warehouse operations using artificial intelligence: A systematic literature review. International Journal of Logistics Management, 35(2), 430–455.

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Published

2026-06-17

How to Cite

Husain, S., & Dwi Cahyono, T. (2026). Transformasi Digital Proses Supply Chain untuk Meningkatkan Efisiensi Operasional Warehouse di Trakindo Batu Hijau Kabupaten Sumbawa Barat-NTB. SENTRI: Jurnal Riset Ilmiah, 5(6), 2898–2912. https://doi.org/10.55681/sentri.v5i6.7111