A Machine Learning-Based Approach for Developing a SEEMP A Case Study on CO2 Emissions Generated from Ship Operations at a Container Port

Authors

  • Elwas Cahya Wahyu Pribadi Department of Mechanical Engineering, Lambung Mangkurat University, Banjarmasin 70123, Indonesia, and is also a Doctoral Student at the Department of Marine Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
  • Abdul Ghofur Departement of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia.
  • Rachmat Subagyo Departement of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia
  • Ma’ruf Departement of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia.
  • Akhmad Syarief Departement of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia.
  • Aldinor Setiawan Departement of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin, 70123, Indonesia.

DOI:

https://doi.org/10.12962/j25481479.v10i4

Keywords:

CO2 emission, Machine learning, SEEMP, Ship operation

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Published

2025-12-01

How to Cite

Cahya Wahyu Pribadi, E., Abdul Ghofur, Rachmat Subagyo, Ma’ruf, Akhmad Syarief, & Aldinor Setiawan. (2025). A Machine Learning-Based Approach for Developing a SEEMP A Case Study on CO2 Emissions Generated from Ship Operations at a Container Port. nternational ournal of arine ngineering nnovation and esearch, 10(4), 1218–1227. https://doi.org/10.12962/j25481479.v10i4

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