Digital Decarbonization Management in Maritime: IoT, Green IS and Analytics

Authors

  • Rifda Ramadhani Buyamin Senior Hight School of 2 Setu

DOI:

https://doi.org/10.55123/ijisit.v2i1.123

Keywords:

Digital Decarbonization, Green Information Systems, IoT Emission Monitoring, Maritime Sustainability, Big Data Analytics

Abstract

The accelerating transition toward net-zero emissions in the maritime sector requires more than regulatory compliance; it demands digitally enabled governance and data-driven decision-making. This research investigates how Green Information Systems (Green IS), IoT-based emission monitoring, and Big Data analytics can be systematically integrated into maritime decarbonization management to enhance environmental performance, regulatory capability, and economic competitiveness. Using a qualitative research design, data were collected from maritime industry experts, university lecturers, and recent graduates to capture multi-level perspectives on technological readiness, institutional alignment, and competency development. Thematic analysis, cross-group comparison, and narrative synthesis reveal a very strong perceived effectiveness of digital decarbonization systems, particularly in improving real-time emission transparency, automating carbon reporting, optimizing fuel consumption, and strengthening strategic planning under tightening carbon regulations. The findings bridge gaps between sustainability policy frameworks and operational digital implementation, highlighting the importance of human capital readiness and governance coherence. The study contributes an integrated socio-technical framework for digital decarbonization management and provides practical implications for shipping companies, port authorities, and maritime education institutions navigating the global net-zero transition.

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Published

2025-06-30

How to Cite

Rifda Ramadhani Buyamin. (2025). Digital Decarbonization Management in Maritime: IoT, Green IS and Analytics. IJISIT: International Journal of Computer Science and Information Technology, 2(1), 83–89. https://doi.org/10.55123/ijisit.v2i1.123

Issue

Vol. 2 No. 1 (2025): June 2025

Section

Articles

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Copyright (c) 2025 Rifda Ramadhani Buyamin

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