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All Journal TRANSIENT: Jurnal Ilmiah Teknik Elektro Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Pembaharuan Hukum The Indonesian Journal of Public Administration (IJPA) Syntax Literate: Jurnal Ilmiah Indonesia JURNAL EDUCATION AND DEVELOPMENT Eksakta : Berkala Ilmiah Bidang MIPA Meteor STIP Marunda Jurnal Penelitian Transportasi Laut Dinasti International Journal of Digital Business Management Jurnal Sains Teknologi Transportasi Maritim International Journal of Marine Engineering Innovation and Research Kreator Jurnal Maritim Malahayati Jurnal Kajian dan Penelitian Umum Physical Therapy Journal of Indonesia Digital Innovation : International Journal Of Management Green Inflation: International Journal of Management And Strategic Business Leadership Epaper Bisnis: International Journal Entrepreneurship and Management International Journal of Law and Society International Journal Of Health And Social Behavior International Journal of Sociology and Law Indonesian Journal of Nautical Study International Journal of Management, Accounting & Finance Greenation International Journal of Law and Social Sciences Jurnal Cendekia Ilmiah Jurnal Abdimas Indonesia International Journal of Educational Practice and Policy Fundamental and Applied Management Journal
Tri Cahyadi
Sekolah Tinggi Ilmu Pelayaran Jakarta
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Journal : Fundamental and Applied Management Journal

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Artificial Intelligence and Machine Learning Applications in Maritime Shipping: Predictive Analytics, Decision Support Systems, and Operational Automation Cahyadi, Tri; Winarno, Winarno; Faozun, Irfan; Barasa, Larsen
Fundamental and Applied Management Journal Vol. 4 No. 1 (2026): Fundamental and Applied Management Journal
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i1.276

Abstract

The maritime shipping industry is increasingly investing in artificial intelligence and machine learning technologies to enhance operational efficiency, safety, and environmental performance, yet the strategic integration of these technologies within maritime organizational systems remains poorly understood. This study systematically examines AI and ML applications in maritime shipping by analyzing predictive analytics capabilities, decision support system architectures, and operational automation frameworks across key maritime operational domains. Employing a qualitative research design combining thematic analysis, cross-group comparison, and narrative synthesis, the study draws upon expert consultations and document analysis involving AI technology specialists, maritime operations professionals, decision science researchers, and maritime regulatory experts. The findings reveal four principal themes: the multi-layered architecture of AI applications spanning predictive, prescriptive, and autonomous functions; the critical role of data infrastructure and quality in determining AI effectiveness; the organizational and human factors mediating successful AI adoption; and the governance challenges of deploying AI in safety-critical maritime environments. The study contributes an integrated AI deployment framework linking technological capabilities, organizational readiness, and governance requirements, offering theoretical insights for technology management scholarship and practical guidance for maritime organizations navigating the complexities of intelligent system adoption.
Digital Transformation and Innovation Adoption in Maritime Logistics: Technology Integration, IoT Implementation, and Organizational Change Management Winarno, Winarno; Cahyadi, Tri; Purnama, Chanra; Suranta, Nathanael
Fundamental and Applied Management Journal Vol. 4 No. 2 (2026): Fundamental and Applied Management Journal
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i2.277

Abstract

The maritime logistics sector is undergoing a profound digital transformation driven by emerging technologies such as the Internet of Things, artificial intelligence, and smart infrastructure systems, yet the organizational and strategic dimensions of this transition remain insufficiently understood. This study examines the adoption of digital technologies in maritime logistics by analyzing the interplay among technology integration processes, organizational change management, and strategic innovation frameworks. Employing a qualitative research design that combines thematic analysis, cross-group comparison, and narrative synthesis, the study draws upon expert consultations and document analysis involving maritime technology specialists, logistics management professionals, and academic researchers. The findings reveal three principal themes: the multi-layered architecture of digital technology integration in maritime operations, the critical role of organizational readiness and human capital development in mediating successful adoption, and the necessity of adaptive strategic frameworks that balance innovation ambition with operational continuity. The study contributes a conceptual model linking digital transformation drivers, organizational enablers, and strategic outcomes, offering theoretical insights for innovation management scholarship and practical guidance for maritime organizations navigating the complexities of technology-driven operational change.
Co-Authors Abdul Rachman Adi Susanto Aditya Rinaldi Agus Dina Mirianto Agus Dina Mirianto Agus Tjahjono Ahmad Ahmad Ahmad Wahid Ahmadi, Pesta Veri Aji Permana Amrin Amrin Andriyan Hendry Ole Anggraini, Laila Puspitasari Anita, Kristin Antoni Arif Priadi Antoni Arif Priadi, Antoni April Gunawan April Gunawan Malau April Gunawan Malau Arifin, Moh. Zaenal Arizky, Aden Akhmad Bambang Kurniadi, Bambang Bambang Sumali Benny Hidayat Christine Widilestari Cris Kuntadi Damar Isti Pratiwi Damoyanto Purba Darul Prayogo Derma Watty Sihombing Diah Zakiah Dina Mirianto, Agus Dwikora Simanjuntak, Pargaulan Edi Abdurachman Erwin Ferry Manurung Fadiansyah, M Rizki Faisal Aswin Faozun, Irfan Fazri Hermanto Geboy Geboy Gemilang, Murina Hendrawan Hendrawan Hesti Ekawati Ida Ayu Putu Sri Widnyani Imam Fahcruddin Indrawan, Rully Irene Evi Krismawati Jay Singgih Jayawarsa, A.A. Ketut Juliater Simamarta Larsen Barasa Lumban Batu, Purnama N.F. Luri Krisnawati Mantoro, Budi Mauritz Sibarani Meilinasari Nurhasanah Hutagaol Miftahul Hadi Mohamad Ridwan Mudakir Natanael Suranta Novita Vindri Harini Panderaja Soritua Sijabat Pasyah, A. Chalid Paulina Mutiara Latuheru Purnama, Chanra Riyanto Riyanto Riyanto Riyanto Riyanto, Firdania Amelia Riyono, Dwi Robbany, Inayatur Rochmansyaha, Rizal Ronald Simanjuntak Rosna Yuherlina Rusmadi Awza Sambega Bintang, Ananta sarbullah sarbullah Sari Kusumaningrum, Sari Selasdini, Vidya Silaksanti, Danawiryya Simanjuntak, M. Marihot Simanjuntak, Marihot Simanjuntak, Marudut Bernadtua Sriyanti, Iis Elsya Suhartini Suhartini Sumali, Bambang Suranta, Nathanael Susi Herawati Taruga Runadi Titis Ari Wibowo Toko, Gigih Prastyan Tri Kismantoro Tristanti Tristanti Utama, Yusuf Pria Wardoyo Dwi Kurniawan Wibowo, Titis Ari Widyaningrum, Novita Winarno WINARNO Winarno Winarno Winarno Winarno Wisnu Handoko Yando, Markus Yayu Nopriani Martha Yovita Mumpuni Hartarini