Intervening Role Use Modern Stevedoring Equipment In Relationship Green Smart Port Implementation And Performance Effectiveness

Authors

  • Asep Suparman Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Eny Budi Sri Hayani Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Zildan Salman Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia
  • Daffa Satriawan Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia

DOI:

https://doi.org/10.38035/jsmd.v3i4.810

Keywords:

Green and Smart Port, Modern Stevedoring Equipment, Port Performance Effectiveness, Implementation Green Smart Port, Economic Sustainability

Abstract

The implementation green and smart port concepts has rapidly developed worldwide, including in Indonesia, although still faces various challenges. This research analyzed the factors influence port performance, with focus on determining role the use modern stevedoring equipment as mediating variable in relationship between implementation green and smart ports and effectiveness of port performance. Research location at Pertamina Port and Logistics Jakarta, which has implemented green and smart ports. Research conducted quantitatively with saturated sample of 102 respondents who all employees handle green and smart ports, using 5 point Likert Scale. Data analyzed using SEM-PLS software and results showed that use of modern stevedoring equipment and implementation of green and smart ports had significant effect with p-value 0.000, 0.006, and 0.008, and increased effectiveness port performance by 97%. This emphasizes the importance of using modern stevedoring equipment and optimal implementation of green and smart ports for enhance effectiveness of port performance.

References

Alfian, H. A. S., Zakaria, A., & Md.Arof, A. (2022). Green Port Performance Indicators for Dry Bulk Terminals: A Review BT - Advanced Maritime Technologies and Applications (A. Ismail, W. M. Dahalan, & A. Öchsner (eds.); pp. 61–77). Springer International Publishing.

Alzate, P., Isaza, G. A., Toro, E. M., Jaramillo-Garzón, J. A., Hernandez, S., Jurado, I., & Hernandez, D. (2024). Operational efficiency and sustainability in smart ports: a comprehensive review. Marine Systems & Ocean Technology, 19(1), 120–131. https://doi.org/10.1007/s40868-024-00142-z

Badurina, P., Cukrov, M., & Dundović, Č. (2017). Contribution to the implementation of “Green Port” concept in Croatian seaports. Pomorstvo, 31(1), 10–17. https://doi.org/10.31217/p.31.1.3

Bakhsh, W., Fiori, C., & de Luca, S. (2024). Literature Review on the Smart Port: Evolution, Technological Development, Performance Indicators of Smart Ports BT - Computational Science and Its Applications – ICCSA 2024 Workshops (O. Gervasi, B. Murgante, C. Garau, D. Taniar, A. M. A. C. Rocha, & M. N. Faginas Lago (eds.); pp. 340–357). Springer Nature Switzerland.

Becker, Klein, & Wetzels. (2020). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). International Journal of Market Research, 62(3), 284–315.

Bichou, K., & Gray, R. (2004). A logistics and supply chain management approach to port performance measurement. Maritime Policy and Management, 31(1), 47–67. https://doi.org/10.1080/0308883032000174454

Chiu, R. H., Lin, L. H., & Ting, S. C. (2014). Evaluation of green port factors and performance: A fuzzy AHP analysis. Mathematical Problems in Engineering, 2014. https://doi.org/10.1155/2014/802976

Eide, M. S., Endresen, Ø., Skjong, R., Longva, T., & Alvik, S. (2009). Cost-effectiveness assessment of CO2 reducing measures in shipping. Maritime Policy and Management, 36(4), 367–384. https://doi.org/10.1080/03088830903057031

European Sea Port Organization (ESPO). (2019). ESPO Environmnetal Report 2019. Espo, 1–23. https://www.espo.be/media/Environmental Report-2019 FINAL.pdf

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021a). Evaluation of Formative Measurement Models. https://doi.org/10.1007/978-3-030-80519-7_5

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021b). Evaluation of the Structural Model BT - Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook (J. F. Hair Jr., G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, & S. Ray (eds.); pp. 115–138). Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7_6

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Hollis, L. P. (2024). Graduated Validity: Cronbach Alpha Calculations for Graduate Student Workplace Bullying Instrument (2017) BT - Instrumental Social Justice in Higher Education: Eight Surveys for Workplace Bullying and Social Justice Research (L. P. Hollis (ed.); pp. 63–73). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-49289-1_5

Konietschke, F., & Pauly, M. (2014). Bootstrapping and permuting paired t-test type statistics. Statistics and Computing, 24(3), 283–296. https://doi.org/10.1007/s11222-012-9370-4

Lin, C. Y., Dai, G. L., Wang, S., & Fu, X. M. (2022). The Evolution of Green Port Research: A Knowledge Mapping Analysis. Sustainability (Switzerland), 14(19). https://doi.org/10.3390/su141911857

Mardhiani, S., Puspita, R., Tatiana, Y., Gabriella, N., Hayam, D., Chamsudi, M., Bijaksana, G., & Simatupang, V. S. (2023). Intervening Role of Cargo Control in Relation with Warehouse Management System Influence Freight Stations Efficiency. 5778, 95–114.

Meyer, C., Gerlitz, L., & Prause, G. (2024). Smart City and Smart Port Concepts: A Conceptualisation for Digital Small and Medium-Sized Port-City Innovation Ecosystems BT - Reliability and Statistics in Transportation and Communication (I. Kabashkin, I. Yatskiv, & O. Prentkovskis (eds.); pp. 41–53). Springer Nature Switzerland.

Purba, A. (2010). Green Port, Keharusan Bagi Pelabuhan Internasional Menuju Hub Port. Jurnal Rekayasa, 14(2), 79–86.

Ricardianto, P., Fonataba, Y., Veronica, Marzuki, S., Priyohadi, N. D., Wijonarko, G., Haryani, E. B. S., Kamsariaty, Sitorus, P. P., & Endri, E. (2023). Determinants of logistics effectiveness on port operational performance: Empirical evidence from Indonesia. Uncertain Supply Chain Management, 11(2), 799–810. https://doi.org/10.5267/j.uscm.2022.12.010

Ritonga, R. A., Ahmadi, N., Kusumastanto, T., Suwandi, R., Suwito, S. R., Hasriningtyas, S., Arafat, H., & Soleh, A. (2022). Kesiapan Implementasi Smart Port Di Indonesia. Coastal and Ocean Journal (COJ), 6(1), 8–23. https://doi.org/10.29244/coj.6.1.8-23

Sadjiono, I., Istijab, B., & Malisan, J. (2018). Jurnal Penelitian Transportasi Laut A Potential Freight Consolidation Center for Asia Pacific Regional Hub : An Importance Performance Analysis. 20, 98–108.

Safuan, S. (2022). Penerapan Teknologi Digital di Pelabuhan Indonesia untuk Menurunkan Biaya Logistik Nasional Application of Digital Technology in Indonesian Ports and Contribute to Lowering National Logistics Costs. Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG), 09(03). https://journal.itltrisakti.ac.id/index.php/jmtranslog

Safuan. (2024). Opportunities and Challenges of Implementing Green and Smart Port Concepts in Indonesia. Journal of Maritime Research, 21(1), 168–173.

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial Least Squares Structural Equation Modeling BT - Handbook of Market Research (C. Homburg, M. Klarmann, & A. Vomberg (eds.); pp. 587–632). Springer International Publishing. https://doi.org/10.1007/978-3-319-57413-4_15

Sudarmanto, E., Kurniullah, A. Z., Revida, E., & Ferinia, R. (2021). Desain Penelitian Bisnis Pendekatan Kuantitatif (R. Watrianthos & J. Simarmata (eds.)). http://eprints.binadarma.ac.id

Tian, J., Wang, Y., & Chen, Z. (2021). An improved single particle model for lithium-ion batteries based on main stress factor compensation. Journal of Cleaner Production, 278, 123456. https://doi.org/https://doi.org/10.1016/j.jclepro.2020.123456

Wijaya, W. M., & Nakamura, Y. (2024). Port performance indicators construction based on the AIS-generated trajectory segmentation and classification. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-024-00614-w

Zhou, Y., Kumar, S., & Furuoka, F. (2024). Enhancing customer value co-creation and stickiness in social commerce: integrating PLS-SEM and NCA for deeper insights into customer-to-customer dynamics. Humanities and Social Sciences Communications, 11(1), 46. https://doi.org/10.1057/s41599-023-02586-x

Zu, Q., & Yan, J. (2022). Innovation Framework for Green Ports BT - Human Centered Computing (Q. Zu, Y. Tang, V. Mladenovic, A. Naseer, & J. Wan (eds.); pp. 295–304). Springer Nature Switzerland.

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Published

2026-03-20

How to Cite

Suparman, A., Hayani, E. B. S., Salman, Z., & Satriawan, D. (2026). Intervening Role Use Modern Stevedoring Equipment In Relationship Green Smart Port Implementation And Performance Effectiveness. Jurnal Siber Multi Disiplin , 3(4), 385–398. https://doi.org/10.38035/jsmd.v3i4.810

Issue

Vol. 3 No. 4 (2026): Jurnal Siber Multi Disiplin (Januari - Maret 2026)

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Articles

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Copyright (c) 2026 Asep Suparman, Eny Budi Sri Hayani, Zildan Salman, Daffa Satriawan

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