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INDONESIA
Siber Journal of Transportation and Logistics
ISSN : 29871026     EISSN : 29871050     DOI : https://doi.org/10.38035/sjtl.v1i1
Core Subject : Economy, Science,
Siber Journal of Transportation and Logistics (SJTL) is managed and published by Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER). SJTL articles are the result of field research, literature studies, and public policy research. This publication aims to disseminate the results of scientific research in the field of transportation and logistics management, in improving the quality of the development of the public transportation sector.
Articles 115 Documents
Development of a Triple Bottom Line-Based Model for Sustainable Warehouse Performance: The Mediating Role of Warehouse Operational Performance in Indonesia’s FMCG Distribution Industry M. Rizki Gusri; Erna Mulyati; Maniah Maniah
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1109

Abstract

The FMCG distribution industry in Indonesia faces pressure to implement sustainable warehousing. High carbon emissions from warehouse operations and the absence of national standards provide the background for this study. The study aims to examine the effects of Economic, Environmental, and Social factors on Warehouse Operational Performance and Sustainable Warehousing Performance. The study also examines the mediating role of Warehouse Operational Performance. The method used was a quantitative confirmatory approach with a cross-sectional survey. The respondents comprised 150 Warehouse Managers, Warehouse Supervisors, Operations Coordinators, and related staff. The data were analyzed using SEM-PLS with SmartPLS. The results show that all ten hypotheses were supported. Social Factors were the most dominant predictors of Warehouse Operational Performance (β = 0.403) and Sustainable Warehousing Performance (β = 0.266). Warehouse Operational Performance had a significant effect on Sustainable Warehousing Performance (β = 0.343) and served as a partial mediator. The model had strong explanatory power, with R² = 0.739 and 0.833. The study strengthens the integration of the Resource-Based View, Natural Resource-Based View, Stakeholder Theory, and Dynamic Capability Theory. Practical recommendations are directed at prioritizing social aspects and warehouse operational capabilities.
Determinants of Last Mile Delivery at PT Pos Indonesia Jakarta Oceania Main Branch through Distribution Ridwan Pamunti Sikombong; Erna Mulyati; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1110

Abstract

This study aims to analyze the determinants of Last Mile Delivery at PT Pos Indonesia Jakarta Oceania Main Branch through the mediating role of Distribution. This quantitative study employed the Structural Equation Modeling–Partial Least Squares (SEM-PLS) approach using SmartPLS 4. The study population consisted of 171 employees, while 121 respondents were selected as the research sample using the Slovin formula. The findings indicate that Distribution has a positive and significant effect on Last Mile Delivery (β = 0.359; t = 5.483; p < 0.001). Line Haul Transportation significantly influences Distribution (β = 0.328; t = 4.807; p < 0.001) and Last Mile Delivery (β = 0.252; t = 3.069; p = 0.002). Likewise, Mail Processing Centre has a positive and significant effect on Distribution (β = 0.444; t = 7.350; p < 0.001) and Last Mile Delivery (β = 0.249; t = 3.868; p < 0.001). Pickup Service also significantly affects Distribution (β = 0.155; t = 2.135; p = 0.033) and Last Mile Delivery (β = 0.141; t = 2.040; p = 0.042). Furthermore, Distribution significantly mediates the effects of Line Haul Transportation (β = 0.118; t = 3.698; p < 0.001), Mail Processing Centre (β = 0.160; t = 4.361; p < 0.001), and Pickup Service (β = 0.172; t = 4.861; p < 0.001) on Last Mile Delivery. The adjusted R² values of 0.394 for Distribution and 0.620 for Last Mile Delivery indicate that the proposed structural model possesses satisfactory explanatory power. These findings demonstrate that improving operational performance in Mail Processing Centre, Line Haul Transportation, and Pickup Service enhances Distribution effectiveness, which subsequently strengthens Last Mile Delivery performance within courier logistics services.
Integrasi Green Logistics, Smart Logistics Technology, dan Last-Mile Delivery sebagai Determinan Loyalitas Pelanggan melalui Customer Experience : Studi Empiris Pada PT Pos Indonesia (Persero) Abad Kartika Dwi Putra; Agus Purnomo; Maniah Maniah
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1111

Abstract

Penelitian ini menganalisis pengaruh Green Logistics, Smart Logistics Technology, dan Last-Mile Delivery terhadap Customer Loyalty melalui Customer Experience pada PT Pos Indonesia (Persero). Penelitian menggunakan pendekatan kuantitatif dengan metode explanatory research terhadap 150 pelanggan yang dipilih menggunakan purposive sampling. Analisis data dilakukan menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa Green Logistics, Smart Logistics Technology, dan Last-Mile Delivery berpengaruh positif dan signifikan terhadap Customer Experience maupun Customer Loyalty. Customer Experience juga terbukti berpengaruh signifikan terhadap Customer Loyalty serta memediasi hubungan ketiga variabel eksogen dengan loyalitas pelanggan. Smart Logistics Technology memberikan kontribusi paling dominan dalam meningkatkan Customer Experience. Temuan ini menegaskan pentingnya integrasi praktik logistik berkelanjutan, transformasi digital, dan kualitas layanan pengiriman akhir sebagai strategi untuk memperkuat pengalaman serta loyalitas pelanggan pada industri logistik.
Pengaruh Kapabilitas Supplier, Kapabilitas Bengkel, dan Pemanfaatan Teknologi terhadap Kecepatan Penyelesaian Klaim melalui Kecepatan Distribusi Suku Cadang Afiat Juli Hadir Santoso; Erna Mulyati; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1113

Abstract

Penelitian ini menganalisis pengaruh kapabilitas supplier, kapabilitas bengkel, dan pemanfaatan teknologi terhadap kecepatan penyelesaian klaim melalui kecepatan distribusi suku cadang sebagai variabel mediasi pada proses klaim asuransi kendaraan bermotor. Research gap penelitian ini adalah riset terdahulu umumnya dilakukan pada sektor manufaktur, komponen otomotif, dan logistik, sementara integrasi simultan ketiga variabel dengan konteks klaim asuransi kendaraan bermotor masih terbatas dan peran mediasi kecepatan distribusi belum diuji secara empiris. Studi ini mengaplikasikan pendekatan kuantitatif dengan desain eksplanatori, menggunakan metode survei yang melibatkan 99 responden yang terdiri atas 50 karyawan asuransi, 36 staf bengkel body repair, dan 13 staf supplier suku cadang. Pengolahan data dilaksanakan dengan memanfaatkan SEM-PLS 4.0. Temuan dari penelitian ini mengindikasikan bahwa kemampuan pemasok, kemampuan bengkel, dan penggunaan teknologi memiliki pengaruh yang positif serta signifikan terhadap kecepatan distribusi suku cadang, dengan koefisien 0,539, 0,224, dan 0,225. Kecepatan distribusi suku cadang berpengaruh positif dan signifikan terhadap kecepatan penyelesaian klaim dengan koefisien 0,461. Kecepatan distribusi suku cadang berperan sebagai mediator penuh antara kapabilitas supplier dan kecepatan penyelesaian klaim, serta sebagai mediator parsial antara kapabilitas bengkel dan kecepatan penyelesaian klaim, sedangkan jalur mediasi pada pemanfaatan teknologi tidak didukung dengan p-value 0,052. Novelty penelitian ini mengonfirmasi bahwa kecepatan distribusi merupakan mekanisme operasional yang menghubungkan kapabilitas organisasi dengan kecepatan penyelesaian klaim pada service supply chain asuransi kendaraan bermotor.
Dampak Strategi Mitigasi Risiko Konsumen terhadap Perceived Last Mile Delivery Performance dan Expected Return to Origin pada Transaksi Cash on Delivery Mukhamad Ryan; Melia Eka Lestiani; Maniah Maniah
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1174

Abstract

Metode pembayaran Cash on Delivery sangat mendominasi ekosistem e-commerce Indonesia namun memicu tingginya kegagalan pengiriman. Dengan pendekatan Behavioral Supply Chain Management dan Consumer Trust Theory, penelitian ini bertujuan menganalisis pengaruh Perceived Logistic Risk, Traceability, dan Delivery Time Predictability terhadap Cash on Delivery Preference serta dampaknya pada Perceived Lastmile Delivery Performance dan Expected Return to Origin. Metode kuantitatif eksplanatori diterapkan pada data primer dari 185 responden (N=185) pengguna e-commerce yang diperoleh melalui purposive sampling, kemudian dianalisis menggunakan SEM-PLS. Hasil pengujian menunjukkan semua hipotesis diterima secara signifikan. Secara langsung, Perceived Logistic Risk (β=0,319), Traceability (β=0,177), dan Delivery Time Predictability (β=0,262) berpengaruh positif signifikan terhadap Cash on Delivery Preference. Selanjutnya, Cash on Delivery Preference berpengaruh positif signifikan terhadap Perceived Lastmile Delivery Performance (β=0,608) dan positif signifikan terhadap Expected Return to Origin (β=0,625) yang mengindikasikan bahwa tingginya preferensi Cash on Delivery pada kondisi tertentu dapat menurunkan kemungkinan kiriman retur. Penelitian ini memberikan implikasi strategis bagi platform e-commerce dan penyedia jasa kurir untuk merumuskan intervensi operasional yang seimbang antara pemenuhan kebutuhan proteksi risiko konsumen dan efisiensi biaya akibat risiko pengembalian barang.

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