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Transformation Model and Systematic Approach for Smart Maritime Logistics: A Literature Analysis

Maritime Park: Journal of Maritime Technology and Society · Vol. ume (2025) · pp. 113–128

DOI
10.62012/mp.vi.44205
ISSN
2828-6669, 2828-7010
Published
2025-10-08
Publisher
Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

This article examines advanced technology applications in maritime logistics through a systematic literature review and bibliometric analysis. Using established PRISMA guidelines, 72 relevant articles were selected from major academic databases and analyzed using bibliometric tools to identify research trends and key findings. The research identifies how Internet of Things (IoT), artificial intelligence (AI), blockchain, and automation technologies enhance operational efficiency and environmental sustainability in maritime logistics. Results demonstrate that these technologies improve supply chain visibility and control while reducing greenhouse gas emissions and energy consumption. The analysis reveals that IoT enables real-time monitoring, AI supports intelligent decision-making, blockchain enhances transparency and security, and automation reduces manual workload. Environmental sustainability emerges as a key focus, with technologies optimizing port operations and minimizing environmental impact. This research emphasizes the need for a holistic approach to smart maritime logistics that integrate technology, management, and sustainability. The findings contribute to academic literature and provide practical insights into the maritime industry’s adoption of advanced technologies to achieve improved operational efficiency and sustainability.

Keywords

Collaboration network of the authors

40 authors · 102 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Halu Oleo
  • Muhammadiyah University of Makassar
  • Universitas Nahdlatul Ulama Blitar
  • Hasanuddin University
  • Universitas Teknologi Yogyakarta
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Taufiqur RachmanAffiliation unknown21
Sabaruddin RahmanAffiliation unknown8
Hasdinar UmarAffiliation unknown5
Ashury AshuryAffiliation unknown4
Muhammad AsdarAffiliation unknown4
Achmad Yasir BaedaAffiliation unknown3
Tri UtariAffiliation unknown2
Adelio Shatara NugrahaAffiliation unknown2
Ahmad Azwar Mas'ud MAffiliation unknown2
Putri Sriwahyuni KasbaAffiliation unknown2
ZULFIKAR ZULFIKARUniversitas Halu Oleo2
Mu’minatung NisaAffiliation unknown2
Fuad Mahfud AssidiqAffiliation unknown2
Dwi AgusdiansyahAffiliation unknown2
Taufiqurrahman TaufiqurrahmanAffiliation unknown1
Ilham AlkhaerAffiliation unknown1
Teguh Pairunan PutraAffiliation unknown1
Wahyuddin WahyuddinMuhammadiyah University of Makassar1
Daeng ParokaAffiliation unknown1
Adriani PhadyAffiliation unknown1
Arsil ArsilAffiliation unknown1
Muhammad AksarAffiliation unknown1
Muhammad Arsyad ThahaAffiliation unknown1
Wasir SamadAffiliation unknown1
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Riswal KarammaHasanuddin University1
Rita Tahir LopaAffiliation unknown1
Yuliani SulemanAffiliation unknown1
Reskiyanti ReskiyantiAffiliation unknown1
Alif Hidayat KasimAffiliation unknown1
Wahyuni HasanAffiliation unknown1
Wahyu Sakinah KasimAffiliation unknown1
Ahmad Yasir BaedahAffiliation unknown1
Nurwani SarahAffiliation unknown1
Irma HandayaniUniversitas Teknologi Yogyakarta1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/maritimepark/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Transformation Model and Systematic Approach for Smart Maritime Logistics: A Literature Analysis</dc:title>
	<dc:creator xml:lang="en">Azisah, Nur</dc:creator>
	<dc:creator xml:lang="en">Karim Ladesi, Vivian</dc:creator>
	<dc:creator xml:lang="en">Mulyono, Tri</dc:creator>
	<dc:creator xml:lang="en">Puspa Wangi, Intan</dc:creator>
	<dc:creator xml:lang="en">Paotonan, Chairul</dc:creator>
	<dc:subject xml:lang="en">Environment</dc:subject>
	<dc:subject xml:lang="en">Infrastructure</dc:subject>
	<dc:subject xml:lang="en">Logistics</dc:subject>
	<dc:subject xml:lang="en">Management</dc:subject>
	<dc:subject xml:lang="en">Technology</dc:subject>
	<dc:description xml:lang="en">This article examines advanced technology applications in maritime logistics through a systematic literature review and bibliometric analysis. Using established PRISMA guidelines, 72 relevant articles were selected from major academic databases and analyzed using bibliometric tools to identify research trends and key findings. The research identifies how Internet of Things (IoT), artificial intelligence (AI), blockchain, and automation technologies enhance operational efficiency and environmental sustainability in maritime logistics. Results demonstrate that these technologies improve supply chain visibility and control while reducing greenhouse gas emissions and energy consumption. The analysis reveals that IoT enables real-time monitoring, AI supports intelligent decision-making, blockchain enhances transparency and security, and automation reduces manual workload. Environmental sustainability emerges as a key focus, with technologies optimizing port operations and minimizing environmental impact. This research emphasizes the need for a holistic approach to smart maritime logistics that integrate technology, management, and sustainability. The findings contribute to academic literature and provide practical insights into the maritime industry’s adoption of advanced technologies to achieve improved operational efficiency and sustainability.</dc:description>
	<dc:publisher xml:lang="en">Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University</dc:publisher>
	<dc:date>2025-10-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/maritimepark/article/view/44205</dc:identifier>
	<dc:identifier>10.62012/mp.vi.44205</dc:identifier>
	<dc:source xml:lang="en">Maritime Park: Journal of Maritime Technology and Society; Volume 4, Issue 3, 2025; 113-128</dc:source>
	<dc:source>2828-6669</dc:source>
	<dc:source>2828-7010</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/maritimepark/article/view/44205/13468</dc:relation>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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