Pengaruh Volume Pengiriman dan Return Rate COD terhadap Biaya Operasional Logistik pada Perusahaan Ekspedisi

Authors

DOI:

https://doi.org/10.55826/jtmit.v5i2.1736

Keywords:

Pengiriman tahap akhir, Tingkat pengembalian paket, Sistem bayar di tempat, Biaya distribusi

Abstract

Penelitian ini menganalisis sensitivitas biaya operasional last-mile delivery terhadap volume pengiriman dan return rate pada PT XYZ Ekspedisi di Bandung Timur, dengan proporsi transaksi Cash on Delivery (COD) mencapai 90%. Penelitian menggunakan 60 observasi data operasional harian selama November–Desember 2025 yang diperoleh dari catatan internal perusahaan. Pendekatan kuantitatif eksplanatori diterapkan dengan mengombinasikan Fault Tree Analysis (FTA) sebagai kerangka kualitatif untuk memetakan struktur penyebab kegagalan pengiriman dan regresi log-linear berganda dengan teknik mean centering sebagai instrumen kuantitatif utama. Model log-linear dipilih berdasarkan pertimbangan distribusi data yang mengandung skewness dan potensi heteroskedastisitas, serta relevansi pendekatan elastisitas dalam analisis sensitivitas biaya logistik. Secara fungsional, menghasilkan efek biaya yang bersifat nonlinear dan multipelatif (accelerating effect), terutama dipengaruhi oleh return rate. Hasil estimasi menghasilkan R² = 0.902, dengan koefisien elastisitas volume β₁ = 0.931 (near-unitary elasticity) dan koefisien semi-elastisitas return rate β₂ = 15.973. Uji asumsi klasik menunjukkan bahwa model memenuhi seluruh kriteria BLUE. Temuan ini mengindikasikan bahwa, dalam konteks variabel yang diamati dan spesifikasi model yang digunakan, return rate memiliki pengaruh yang relatif lebih besar terhadap biaya operasional dibandingkan dengan volume pengiriman. Oleh karena itu, pengendalian return rate berpotensi menjadi salah satu fokus strategis dalam meningkatkan efisiensi biaya operasional pada sistem distribusi berbasis COD.

References

[1] M. Akhtar, “Logistics services outsourcing decision making: a literature review and research agenda,” International Journal of Production Management and Engineering, vol. 11, no. 1 SE-Papers, pp. 73–88, Jan. 2023, doi: 10.4995/ijpme.2023.18441.

[2] M. Viu-Roig and E. J. Alvarez-Palau, “The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review,” 2020. doi: 10.3390/su12166492.

[3] D. Correia, C. Vagos, J. L. Marques, and L. Teixeira, “Fulfilment of last-mile urban logistics for sustainable and inclusive smart cities: a case study conducted in Portugal,” International Journal of Logistics Research and Applications, vol. 27, no. 6, pp. 931–958, Jun. 2024, doi: 10.1080/13675567.2022.2130211.

[4] A. Kawa and W. Zdrenka, “Conception of integrator in cross-border E-commerce,” LogForum, vol. 12, pp. 63–73, Mar. 2016, doi: 10.17270/J.LOG.2016.1.6.

[5] A. Lagorio, R. Pinto, and R. Golini, “Research in urban logistics: a systematic literature review,” International Journal of Physical Distribution & Logistics Management, vol. 46, no. 10, pp. 908–931, Nov. 2016, doi: 10.1108/IJPDLM-01-2016-0008.

[6] F. Rasool, M. Greco, G. Morales-Alonso, and R. Carrasco-Gallego, “What is next? The effect of reverse logistics adoption on digitalization and inter-organizational collaboration,” International Journal of Physical Distribution & Logistics Management, vol. 53, no. 5–6, pp. 563–588, May 2023, doi: 10.1108/IJPDLM-06-2022-0173.

[7] D. Sinha and D. Pandit, “Assessing the economic sustainability of gig work: A case of hyper-local food delivery workers in Kolkata, India,” Research in Transportation Economics, vol. 100, p. 101335, 2023, doi: doi.org/10.1016/j.retrec.2023.101335.

[8] R. Frei, L. Jack, and S. Brown, “Product returns: a growing problem for business, society and environment,” International Journal of Operations & Production Management, vol. 40, no. 10, pp. 1613–1621, Jun. 2020, doi: 10.1108/IJOPM-02-2020-0083.

[9] V. F. Yu, P. Jodiawan, and A. A. N. P. Redi, “Crowd-shipping problem with time windows, transshipment nodes, and delivery options,” Transp. Res. E Logist. Transp. Rev., vol. 157, p. 102545, 2022, doi: doi.org/10.1016/j.tre.2021.102545.

[10] N. Boysen, S. Fedtke, and S. Schwerdfeger, “Last-mile delivery concepts: a survey from an operational research perspective,” OR Spectrum, vol. 43, no. 1, pp. 1–58, 2021, doi: 10.1007/s00291-020-00607-8.

[11] S. Anjum and J. Chai, “Drivers of cash-on-delivery method of payment in e-commerce shopping: evidence from Pakistan,” Sage Open, vol. 10, no. 3, p. 2158244020917392, 2020.

[12] A. Seghezzi, R. Mangiaracina, A. Tumino, and A. Perego, “‘Pony express’ crowdsourcing logistics for last-mile delivery in B2C e-commerce: an economic analysis,” International Journal of Logistics Research and Applications, vol. 24, no. 5, pp. 456–472, 2021, doi: 10.1080/13675567.2020.1766428.

[13] S. Cha and Y. Choi, “A Study on Asymmetrical Cost Behavior of Distribution Industry: Evidence from Korea,” Journal of Distribution Science, vol. 18, no. 11, pp. 5–13, 2020, doi: 10.15722/JDS.18.11.202011.5.

[14] R. Alves, C. A. Pereira, and R. da S. Lima, “Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation,” Research in Transportation Economics, vol. 101, p. 101348, 2023, doi: doi.org/10.1016/j.retrec.2023.101348.

[15] F. Chellai, “Rethinking Scale in Applied Econometrics: Practical Impacts of Log Transformations on Model Performance,” Econometrics = Ekonometria, vol. 29, no. 3, pp. 1–14, 2025, doi: 10.15611/EADA.2025.3.01.

[16] J. M. Wooldridge, Econometric Analysis of Cross Section and Panel Data. Cambridge, Massachusetts: The MIT Press, 2002. [Online]. Available: https://ipcid.org/evaluation/apoio/Wooldridge%20-%20Cross-section%20and%20Panel%20Data.pdf

[17] J. A. Seabrook, “Powering Nutrition Research: Practical Strategies for Sample Size in Multiple Regression,” Nutrients, vol. 17, no. 16, p. 2668, Aug. 2025, doi: 10.3390/nu17162668.

[18] S. Santoso, R. Nurhidayat, G. Mahmud, and A. M. Arijuddin, “Measuring the Total Logistics Costs at the Macro Level: A Study of Indonesia,” Logistics 2021, Vol. 5, Page 68, vol. 5, no. 4, p. 68, Oct. 2021, doi: 10.3390/LOGISTICS5040068.

[19] W. A. M. Mohammad, Y. Nazih Diab, A. Elomri, and C. Triki, “Innovative solutions in last mile delivery: concepts, practices, challenges, and future directions,” Supply Chain Forum: An International Journal, vol. 24, no. 2, pp. 151–169, Apr. 2023, doi: 10.1080/16258312.2023.2173488.

[20] S. Arora, V. Choudhary, and P. Kireyev, “Don’t Fake It If You Can’t Make It: Driver Misconduct in Last-Mile Delivery,” Manage. Sci., vol. 71, no. 5, pp. 3790–3808, Aug. 2024, doi: 10.1287/mnsc.2023.01829.

[21] T. Ayu and Nahry, “Optimizing the Heterogeneous Fleet Vehicle Routing Problem with Time Window on Urban Last Mile Delivery,” IOP Conf. Ser. Earth Environ. Sci., vol. 830, no. 1, p. 12100, 2021, doi: 10.1088/1755-1315/830/1/012100.

[22] M. Lee, “Finding correct elasticities in log-linear and exponential models allowing heteroskedasticity,” Studies in Nonlinear Dynamics & Econometrics, vol. 25, no. 3, pp. 81–91, Jun. 2021, doi: 10.1515/snde-2018-0099.

[23] D. Benatia, C. Bellégo, and louis Pape, “Dealing with Logs and Zeros in Regression Models,” Mar. 2022, Accessed: Apr. 27, 2026. [Online]. Available: https://arxiv.org/pdf/2203.11820

[24] O. L. Olvera Astivia and E. Kroc, “Centering in Multiple Regression Does Not Always Reduce Multicollinearity: How to Tell When Your Estimates Will Not Benefit From Centering,” Educ. Psychol. Meas., vol. 79, no. 5, pp. 813–826, Oct. 2019, doi: 10.1177/0013164418817801.

[25] A. Mishra and P. Dutta, “Return management in e-commerce firms: A machine learning approach to predict product returns and examine variables influencing returns,” J. Clean. Prod., vol. 477, p. 143802, 2024, doi: https://doi.org/10.1016/j.jclepro.2024.143802.

[26] P. R. Nanayakkara, M. M. Jayalath, A. Thibbotuwawa, and H. N. Perera, “A circular reverse logistics framework for handling e-commerce returns,” Cleaner Logistics and Supply Chain, vol. 5, p. 100080, Dec. 2022, doi: 10.1016/j.clscn.2022.100080.

[27] K. TÜRKOĞLU, “LOJİSTİK VE TERS LOJİSTİK MALİYETLERİ,” International Journal of Social and Humanities Sciences Research (JSHSR), vol. 9, no. 82, pp. 866–873, Apr. 2022, doi: 10.26450/JSHSR.3086.

[28] E. Subiyanto, “Assessing Total Logistics Costs,” International Journal of Applied Logistics, vol. 10, no. 2, pp. 45–61, Jul. 2020, doi: 10.4018/IJAL.2020070103.

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Published

28-04-2026

How to Cite

[1]
“Pengaruh Volume Pengiriman dan Return Rate COD terhadap Biaya Operasional Logistik pada Perusahaan Ekspedisi”, JTMIT, vol. 5, no. 2, pp. 848–856, Apr. 2026, doi: 10.55826/jtmit.v5i2.1736.

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