Peran Efisiensi Operasional dalam Hubungan Teknologi Digital dan Infrastruktur Fisik terhadap Kinerja Tim Gudang PT. XYZ

Authors

  • Daniel Andreanto Wirawan Universitas Logistik dan Bisnis Internasional, Bandung, Indonesia
  • Melia Eka Lestiani Universitas Logistik dan Bisnis Internasional, Bandung, Indonesia
  • Maniah Maniah Universitas Logistik dan Bisnis Internasional, Bandung, Indonesia

DOI:

https://doi.org/10.38035/jimt.v7i4.7962

Keywords:

Transparansi Data, Manajemen Persediaan, Peralatan Material, Tata Letak Gudang, Kinerja Gudang

Abstract

Penelitian ini berjudul Peran Efisiensi Operasional dalam Hubungan Teknologi Digital dan Infrastruktur Fisik terhadap Kinerja Tim Gudang PT. XYZ. Studi ini dilatarbelakangi oleh kebutuhan peningkatan kinerja operasional gudang pada industri manufaktur cat yang menghadapi kompleksitas pengelolaan persediaan serta tuntutan integrasi sistem digital dan infrastruktur fisik. Penelitian ini bertujuan menganalisis pengaruh transparansi data stok berbasis konsep blockchain, manajemen persediaan berbasis cloud, dan peralatan penanganan material terhadap kinerja tim gudang dengan efisiensi tata letak gudang sebagai variabel mediasi. Pendekatan kuantitatif digunakan melalui survei terhadap 252 responden dan dianalisis menggunakan Structural Equation Modeling berbasis Partial Least Squares. Hasil penelitian menunjukkan bahwa transparansi data stok berbasis blockchain berpengaruh langsung terhadap kinerja tim gudang sebesar 0,214, manajemen persediaan berbasis cloud sebesar 0,238, dan peralatan penanganan material sebesar 0,341. Pengaruh terbesar terhadap efisiensi tata letak gudang berasal dari peralatan penanganan material dengan koefisien 0,729 dan nilai efek 0,532 yang termasuk kategori besar. Efisiensi tata letak gudang juga berpengaruh signifikan terhadap kinerja tim gudang sebesar 0,262 serta memediasi hubungan variabel independen terhadap kinerja. Penelitian ini menyimpulkan bahwa peralatan penanganan material merupakan faktor paling dominan dalam meningkatkan kinerja tim gudang melalui optimalisasi tata letak operasional.

References

Affia, I., & Aamer, A. (2021). An internet of things-based smart warehouse infrastructure: design and application. Journal of Science and Technology Policy Management, 13(1), 90–109. https://doi.org/10.1108/JSTPM-08-2020-0117

Carli, R., Dotoli, M., Digiesi, S., Facchini, F., & Mossa, G. (2020). Sustainable scheduling of material handling activities in labor-intensive warehouses: A decision and control model. Sustainability (Switzerland), 12(8). https://doi.org/10.3390/SU12083111

Discetti, R., Osei, M., & Pruhtpahon, S. (2024). The role of “localness” in sustainable food consumption: insights from sustainable coffee in Thailand. British Food Journal, 126(12), 4396–4416. https://doi.org/10.1108/BFJ-02-2024-0192

Ehtesham Rasi, R., & Sohanian, M. (2020). A multi-objective optimization model for sustainable supply chain network with using genetic algorithm. Journal of Modelling in Management, 16(2), 714–727. https://doi.org/10.1108/JM2-06-2020-0150

Fernández-González, C., & Ledo, M. (2025). Grit and L2 grit research in SLA (2013–2025) A scoping review and quality assessment. In Studies in Second Language Acquisition (Vol. 47, Number 3, pp. 828–866). Cambridge University Press. https://doi.org/10.1017/S0272263125100909

Ghalehkhondabi, I., & Masel, D. T. (2018). Storage allocation in a warehouse based on the forklifts fleet availability. Journal of Algorithms and Computational Technology, 12(2), 127–135. https://doi.org/10.1177/1748301818761130

Ghallib, A., Wulan, M., Fazrin Anni Harahap, N., Rahmadani, N., & Adha, R. (2024). Perancangan Ulang Tata Letak Fasilitas Paving Block Dalam Menekan Biaya Material Hanndling. Jurnal Teknologi Dan Manajemen Industri Terapan (JTMIT), 3(2), 141–150.

Hadi, M., Alland Kelana, B., Wiramukthi, S., Agustria Wijaksono, A., Aziz Husyairi, K., & Nur Ainun, T. (2024). Evaluasi Strategi Tata Letak Retail Toko Arfan Jaya Dua Menggunakan Metode ARC dan TCR. COMSERVA : Jurnal Penelitian Dan Pengabdian Masyarakat, 4(1), 116–126. https://doi.org/10.59141/comserva.v4i1.1343

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hidayat, T., & Utomo, M. (2020). Optimasi Produksi Tunggak Jati Melalui Rancangan Tata Letak Fasilitas Produksi. MATRIK: Jurnal Manajemen & Teknik Industri-Produksi. https://doi.org/10.350587/Matrik

Hura, O., & Dieu, D. (2024). Effect of Warehouse Management on the Organizational Performance in a Manufacturing Company. A Case of Cimerwa Limited in Rusizi District-Rwanda. Journal of Procurement & Supply Chain, 8(1). https://doi.org/10.53819/81018102t2324

Jarašūnienė, A., Čižiūnienė, K., & Čereška, A. (2023). Research on Impact of IoT on Warehouse Management. Sensors, 23(4). https://doi.org/10.3390/s23042213

Jeon, H. W., Ebrahimi, A., & Lee, G. H. (2023). A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems. Sustainability (Switzerland), 15(20). https://doi.org/10.3390/su152014891

Kembro, J. H., Norrman, A., & Eriksson, E. (2018). Adapting warehouse operations and design to omni-channel logistics: A literature review and research agenda. In International Journal of Physical Distribution and Logistics Management (Vol. 48, Number 9, pp. 890–912). Emerald Group Holdings Ltd. https://doi.org/10.1108/IJPDLM-01-2017-0052

Kresna Dewy, C., Prambudiab, Y., Kumalasarib, I., Sultan Ageng Tirtayasa, U., & Author, C. (2025). Design of Inventory Information System Model on Smart Warehouse Management System (WMS) Based on Artificial Intelligence (AI) with Integration of Waterfall Method and Design Thinking to Optimize Inventory Accuracy. Eduvest-Journal of Universal Studies, 5(9).

Kusmaryono, I., Wijayanti, D., & Maharani, H. R. (2022). Number of Response Options, Reliability, Validity, and Potential Bias in the Use of the Likert Scale Education and Social Science Research: A Literature Review. In International Journal of Educational Methodology (Vol. 8, Number 4, pp. 625–637). Eurasian Society of Educational Research. https://doi.org/10.12973/ijem.8.4.625

Lim, K., Sheng Chang, C., & Hui, J. (2023). Leveraging Information Technology for Effective Inventory Management in Singapore’s Supply Chain Industry. International Business Logistics Journal (IBL), 3(1). https://doi.org/10.21622/IBL.2023.03.1.029

Liu, H., Yao, Z., Zeng, L., & Luan, J. (2019). An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China. Assembly Automation, 39(1), 86–100. https://doi.org/10.1108/AA-09-2018-0144

Ma, X., & Zhang, J. (2023). Integrated information management of supply chain in logistics parks based on the IoT. Internet Technology Letters, 7. https://doi.org/10.1002/itl2.469

Mohamud, I. H., Abdul Kafi, M., Shahron, S. A., Zainuddin, N., & Musa, S. (2023). The Role of Warehouse Layout and Operations in Warehouse Efficiency: A Literature Review. Journal Europeen Des Systemes Automatises, 56(1), 61–68. https://doi.org/10.18280/jesa.560109

Mojumder, M. U., & Nuruzzaman, Md. (2025). AI-Driven Optimization of Warehouse Layout and Material Handling: A Quantitative Study on Efficiency and Space Utilization. Review of Applied Science and Technology, 04(02), 233–273. https://doi.org/10.63125/bgxb1z53

Nadondu, B., Chanpahol, A., Srisawad, S., & Thiakthum, S. (2024). Improving Forklift Efficiency by ECRS Techniques: a Case Study in a Logistics Company. Evergreen, 11(1), 306–313. https://doi.org/10.5109/7172286

Narayanan, S., & Singh, G. A. (2023). Consumers’ willingness to pay for corporate social responsibility: Theory and evidence. In International Journal of Consumer Studies (Vol. 47, Number 6, pp. 2212–2244). John Wiley and Sons Inc. https://doi.org/10.1111/ijcs.12910

Ng, S., Tai, V. C., Tan, Y. C., & Abd Rahman, N. F. (2021). SFlex-WMS: a novel multi-expert system for flexible logistics and warehouse operation in the context of Industry 4.0. SHS Web of Conferences, 124, 10002. https://doi.org/10.1051/shsconf/202112410002

Nugroho, F. A. (2022). Penerapan Materials Handling Equipment untuk Penanganan Barang. Jurnal Bisnis, Logistik Dan Supply Chain (BLOGCHAIN), 2(2), 64–71. https://doi.org/10.55122/blogchain.v2i2.535

Omisola, J. O., Shiyanbola, J. O., & Osho, G. O. (2023). A Process Automation Framework for Smart Inventory Control: Reducing Operational Waste through JIRA-Driven Workflow and Lean Practices. Journal of Frontiers in Multidisciplinary Research, 4(1), 82–92. https://doi.org/10.54660/.ijfmr.2023.4.1.82-92

Osato Itohan Oriekhoe, Bankole Ibrahim Ashiwaju, Kelechi Chidiebere Ihemereze, Uneku Ikwue, & Chioma Ann Udeh. (2024). Blockchain Technology In Supply Chain Management: A Comprehensive Review. International Journal of Management & Entrepreneurship Research, 6(1), 150–166. https://doi.org/10.51594/ijmer.v6i1.714

Prihanto, B., & Pujawan, N. (2021). Re-Design Layout and Allocation of Raw Material Warehouses Using Simulation Methods to Minimize the Handling Cost from Port to Warehouses. IPTEK Journal of Proceedings Series, No. 3, 72. https://doi.org/https://doi.org/10.12962/j23546026.y2020i3.11081

Qiu, F., Chen, M., Wang, L., Ying, Y., & Tang, T. (2023). The architecture evolution of intelligent factory logistics digital twin from planning, implement to operation. Advances in Mechanical Engineering, 15(9). https://doi.org/10.1177/16878132231198339

Raghuram, P., & Arjunan, M. (2021). Design framework for a lean warehouse – a case study-based approach. International Journal of Productivity and Performance Management, ahead-of-print. https://doi.org/10.1108/IJPPM-12-2020-0668

Ruiz, J. E., Martínez, I., & Juárez, C. (2024). Configuration based on Industry 4.0 technologies as a step towards an affordable smart warehouse. Journal of Smart Cities and Society, 3(2), 99–110. https://doi.org/10.3233/scs-240001

Sadowski, A., Wojciechowski, P., & Engelseth, P. (2022). The contingent nature of warehouse flexibility. International Journal of Productivity and Performance Management, 71(8), 3417–3442. https://doi.org/10.1108/IJPPM-05-2020-0250

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. In Handbook of Market Research (pp. 1–40). Springer International Publishing. https://doi.org/10.1007/978-3-319-05542-8_15-1

Sule, O. E., & Oshi, J. E. O. (2022). Inventory Management and Competitive Advantage of Contemporary Manufacturing Firms in Nigeria. Journal La Bisecoman, 2(6), 47–53. https://doi.org/10.37899/journallabisecoman.v2i6.557

Tufano, A., Accorsi, R., & Manzini, R. (2022). A machine learning approach for predictive warehouse design. International Journal of Advanced Manufacturing Technology, 119(3–4), 2369–2392. https://doi.org/10.1007/s00170-021-08035-w

Wang, S., Tian, G., Islam, T., Khaskhelly, F. Z., & Shaikh, M. A. (2023). Effect of Blockchain Technology for Sustainable Performance in Supply Chain Management. Problemy Ekorozwoju, 18(2), 159–166. https://doi.org/10.35784/preko.3954

Zaky, M., Sunan, U., & Djati Bandung, G. (2023). Faktor-Faktor yang Mempengaruhi Kinerja Tim Kerja: Sebuah Kajian Teoritis Dan Empiris. In KOMITMEN: Jurnal Ilmiah Manajemen (Vol. 4, Number 1). https://doi.org/https://doi.org/10.15575/jim.v4i1.25253

Zhang, G., Yang, Y., & Yang, G. (2023). Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America. Annals of Operations Research, 322(2), 1075–1117. https://doi.org/10.1007/s10479-022-04689-1

Zhen, Y., Qiao, W., Wang, R., & Wang, W. (2024). Blockchain Technology, Enterprise Risk and Enterprise Performance. Sustainability (Switzerland), 16(1). https://doi.org/10.3390/su16010070

Zhuo, Z., Chau, K. Y., Huang, S., & Ip, Y. K. (2020). Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns. International Journal of Engineering Business Management, 12. https://doi.org/10.1177/1847979020941489

Published

2026-03-19

How to Cite

Daniel Andreanto Wirawan, Melia Eka Lestiani, & Maniah, M. (2026). Peran Efisiensi Operasional dalam Hubungan Teknologi Digital dan Infrastruktur Fisik terhadap Kinerja Tim Gudang PT. XYZ. Jurnal Ilmu Manajemen Terapan, 7(4), 565–578. https://doi.org/10.38035/jimt.v7i4.7962