Analysis of Navigation Technology Acceptance as a Supporting Facility in The Barito River Estuary Shipping Channel Using The Technology Acceptance Model (TAM)

Authors

  • Alexander Volta Matondang Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
  • Raja Oloan Saut Gurning Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
  • Dhimas Widhi Handani Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v7i1.5340

Keywords:

Barito River Estuary, Navigation Technology, Technology Acceptance Model, Navigation Safety

Abstract

The Barito River is a strategic shipping lane facing various safety challenges. The use of navigation technology such as the Automatic Identification System (AIS) can improve shipping safety and efficiency, but its adoption among ship operators is still limited. This study analyzes the acceptance of navigation technology in the Barito River Channel using the Technology Acceptance Model (TAM), which involves five variables: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual System Use (AU). The results of the analysis using PLS-SEM show that PEU has a positive effect on PU (t-statistic = 10.056, p-value = 0), PEU has a significant effect on ATU (t-statistic = 4.131, p-value = 0), and ATU has a significant effect on BI (t-statistic = 5.059, p-value = 0). PU has a significant effect on BI (t-statistic = 5.875, p-value = 0) and BI has a positive effect on AU (t-statistic = 8.898, p-value = 0). The results of the hypothesis test indicate that most of the relationships between variables in the TAM are significant, with positive influences between PEU and PU, PEU and ATU, ATU and BI, and BI and AU. However, the relationship between PU and ATU does not show significance, indicating that perceived usefulness does not directly influence attitudes towards technology use. This acceptance contributes to the development of policies and strategies for the acceptance of navigation technology in the shipping sector.

References

Ardianto, K., Azizah, N., Risiko, P., & Kegunaan, P. (2021). Analisis minat penggunaan dompet digital dengan pendekatan technology acceptance model (TAM) pada pengguna di Kota Surabaya. Jurnal Pengembangan Wiraswasta, 23(1), 13.

Aulifin, S. A., & Dewi, A. S. (2022). Analisis penerimaan pengguna Shopeepay sebagai sistem pembayaran elektronik menggunakan Technology Acceptance Model (TAM) di wilayah Kota Bogor. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 6(2), 138–152.

Ayu, R. K., & Wulida, Z. W. (2023). Kewenangan Bakamla dalam perlindungan keamanan lingkungan maritim menurut Undang-Undang Nomor 17 Tahun 2008 tentang Pelayaran. WASAKA HUKUM, 11(2), 162–176.

Bachtiar, A., Trilia, D., Hia, H. A. F., Zafirawan, R. A., & Supriyadi, A. A. (2024). Pengawasan maritim efektif melalui implementasi Automatic Identification System (AIS) untuk jalur pelayaran Surabaya-Makassar. Majalah Ilmiah Globe, 26(2), 57–66.

Bermana, K. R. G., Darlis, D., & Rusdinar, A. (2023). Rancang bangun sistem navigasi kapal autonomous berbasis ESP32 dan Raspberry Zero W guna mendukung penelitian Autonomous Fish Feeder Swarm Boat di Laboratorium Inacos Universitas Telkom. Eproceedings Of Applied Science, 9(1).

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Dalimunthe, A. R., Lestari, A. D., & Meirany, J. (n.d.). Manajemen risiko keselamatan pelayaran di alur pelayaran Sungai Kapuas dengan metode Formal Safety Assessment (FSA). Jelast: Jurnal Teknik Kelautan, PWK, Sipil, Dan Tambang, 10(1).

Datep, D., & Datep Purwa Saputra, M. M. (2021). Penerapan sistem manajemen keselamatan kapal sesuai ISM-Code. Deepublish.

Febriandono, M. H., Mulia, F. H. N., & Iswara, N. H. (2019). Pengaruh kompetensi personal terhadap kesiapan perubahan dalam Industri 4.0. Jurnal TAM (Technology Acceptance Model), 9(2), 107–115.

Gugus Wijonarko, & Zulfadli Gazali. (2024). Mengelola ambang Barito. Sentra Edukasi Media.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances In International Marketing, 20, 277–320.

Intansari, I., Rahmaniati, M., & Hapsari, D. F. (2023). Evaluasi penerapan rekam medis elektronik dengan pendekatan Technology Acceptance Model di Rumah Sakit X di Kota Surabaya. J-REMI: Jurnal Rekam Medik Dan Informasi Kesehatan, 4(3), 108–117.

Jati, F. M. (2023). Upaya meningkatan pengetahuan dan keterampilan para perwira dan master dalam penggunaan ECDIS guna menunjang keselamatan pelayaran di kapal Gas Benua.

Jatnika, R. F., Kaniawulan, I., & Singasatia, D. (2023a). Analisis penerimaan aplikasi MyPertamina menggunakan metode Technology Acceptance Model (TAM). Jurnal Teknologi Informasi Dan Komunikasi, 14(2), 347–357.

Jatnika, R. F., Kaniawulan, I., & Singasatia, D. (2023b). Analisis penerimaan aplikasi MyPertamina menggunakan metode Technology Acceptance Model (TAM). Jurnal Teknologi Informasi Dan Komunikasi, 14(2), 347–357.

Lala, G. (2014). The emergence and development of the Technology Acceptance Model (TAM). Marketing From Information To Decision, 7, 149–160.

Downloads

Published

2025-10-08

How to Cite

Matondang, A. V., Gurning, R. O. S., & Handani, D. W. (2025). Analysis of Navigation Technology Acceptance as a Supporting Facility in The Barito River Estuary Shipping Channel Using The Technology Acceptance Model (TAM). Dinasti International Journal of Education Management and Social Science, 7(1), 120–128. https://doi.org/10.38035/dijemss.v7i1.5340