Analysis of Material Handling and Distribution System in Less Container Load (LCL) Cargo Shipment on Delivery on Time at a Sea Freight Forwarder: Using Structural Equation Modeling

Authors

  • Rahmat Hidayat Institut Transportasi dan Logistik Trisakti Author
  • Prima Widyanto Institut Transportasi dan Logistik Trisakti Author
  • Reza Fajriadi Putra Institut Transportasi dan Logistik Trisakti Author
  • Siti Maemunah Institut Transportasi dan Logistik Trisakti Author
  • Euis Saribanon Institut Transportasi dan Logistik Trisakti Author

DOI:

https://doi.org/10.38035/hrm.v1i2.74

Keywords:

Material Handling, Distribution System, Delivery on Time, Less Container Load, Structural Equation Modeling

Abstract

Timely delivery is a central performance measure for freight forwarding companies, yet less-than-container-load shipments, in which cargo from several customers is consolidated in one container, are vulnerable to delays caused by cargo handling and long distribution chains. Previous studies on shipment delays have mostly described the causes of delay or examined customer satisfaction, and few have tested material handling and the distribution system together with consolidated container shipments as a mechanism that leads to on-time delivery. This study aims to analyze the effect of material handling and the distribution system on on-time delivery, directly and through less-than-container-load cargo shipment, at a sea freight forwarder in Bekasi. This study used a descriptive quantitative approach, with a questionnaire completed by 100 sea division workers, and analyzed the data using partial least squares structural equation modeling in SmartPLS 3.3.9. The results show that material handling and the distribution system significantly and positively affect cargo shipment and on-time delivery, that shipment affects on-time delivery, and that it significantly mediates both relationships. This study's novelty is the empirical evidence that consolidated shipment performance transmits the effect of handling and distribution practices to delivery punctuality.

References

Abdillah, W., & Jogiyanto. (2015a). Partial Least Square (PLS) Alternatif Structural Equation Modeling (SEM) dalam Penelitian Bisnis. (1st ed.). Penerbit Andi Yogyakarta.

Abdillah, W., & Jogiyanto. (2015b). Partial Least Square (PLS) Alternatif Structural Equation Modeling (SEM) dalam Penelitian Bisnis. In D. Prabantini (Ed.), Partial Least Square (PLS) Alternatif Structural Equation Modeling (SEM) dalam Penelitian Bisnis (1st ed., pp. 30–70). Penerbit Andi Yogyakarta.

Amir, M. S. (2005). Ekspor Impor: Teori dan Penerapannya. PPM.

Apriyani, D., Nurmalina, R., & Burhanuddin, B. (2018). Evaluasi Kinerja Rantai Pasok Sayuran Organik Dengan Pendekatan Supply Chain Operation Reference (Scor). Mix: Jurnal Ilmiah Manajemen, 8(2), 312. https://doi.org/10.22441/mix.2018.v8i2.008

Arif, M. (2018). Supply Chain Management. Deepublish.

Arifudin, O., Rusmana, F. D., Tanjung, R., & Wahrudin, U. (2020). Inovasi Kemasan Dan Perluasan Pemasaran Dodol Nanas Di Subang Jawa Barat. Dinamisia Jurnal Pengabdian Kepada Masyarakat, 4(3), 408–417. https://doi.org/10.31849/dinamisia.v4i3.4469

Chapman, K. W., Lawless, H. T., & Boor, K. J. (2001). Quantitative descriptive analysis and principal component analysis for sensory characterization of ultrapasteurized milk. Journal of Dairy Science, 84(1), 12–20. https://doi.org/10.3168/jds.S0022-0302(01)74446-3

Fakhrudin, A. (2021). Kualitas Pelayanan dan Fasilitas Mempengaruhi Kepuasan Konsumen di Bandar Udara Notohadi Negoro Jember. Jurnal Manajemen Dan Keuangan, 10(1), 97–107.

Jogiyanto, & Abdillah, W. (2009). Konsep dan Aplikasi PLS(Partial Least Square) Untuk Penelitian Empiris (1st ed.). Badan Penerbit Fakultas Ekonomi.

M Tenenhaus, Vincenzo, V. E., Yves-Marie, C., & Carlo, L. (2005). PLS path modeling. Computational Statistics and Data Analysis. Computational Statistics and Data Analysis (CSDA), 48(1), 159–205. Yves-Marie Chatelin

Meyers, F. E., & Stephens, M. P. (2005). Manufacturing Facilities Design and Material Handling (3rd ed.). Pearson Prentice Hall.

Noor, J. (2014). Analisis Data Penelitian Ekonomi & Manajemen. In Analisis Data Penelitian Ekonomi & Manajemen (2nd ed., p. 150). PT. Grasindo.

Salim, A. (2015). Manajemen Transportasi. RajaGrafindo Persada.

Siahaan, S. H. (2016). Analisis klaster industri dalam perspektif manajemen rantai pasokan perkebunan kelapa sawit di Provinsi Sumatera Utara. Jurnal Ekonomi Dan Kebijakan Publik, 7(2), 201–213. https://dprexternal3.dpr.go.id/index.php/ekp/article/view/578

Subagyo, P., & Handoko, T. H. (2018). Dasar-Dasar Operations Research. BPFE.

Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.

Suliyanto. (2018). Metode Penelitian Bisnis untuk Skripsi, Tesis, dan Disertasi. Andi.

Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2003). Facilities Planning (3rd ed.). John Wiley & Sons.

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Published

2026-03-08