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All Journal Dinasti International Journal of Education Management and Social Science
Michael Sugiarto Simamora
Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Education

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Construction and Regulatory Framework of Wing-In-Ground Effect (WIG) Craft from the Perspective of Safety and High-Speed Craft Classification Antoni Arif Priadi; Tri Cahyadi; Sahattua P. Simatupang; Winarno Winarno; Larsen Barasa; Natanael Suranta; Mahsa Gyda Rahma; Muhammad Eddy Taufik; Michael Sugiarto Simamora
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 5 (2026): Dinasti International Journal of Education Management and Social Science (June
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i5.6636

Abstract

Wing-In-Ground (WIG) effect craft represent a compelling high-speed maritime transportation solution for archipelagic nations, yet their global adoption remains constrained by fragmented regulatory frameworks and the absence of nationally adapted construction standards. This study proposes a national regulatory and construction framework for WIG craft tailored to Indonesia's tropical archipelagic conditions, using a systematic mapping study of 32 peer-reviewed and regulatory sources retrieved from Scopus, Web of Science, IEEE Xplore, and ScienceDirect following PRISMA 2020 guidelines. The results establish three key contributions. First, a three-tier classification system (Type A: exclusive ground effect; Type B: transitional capability; Type C: full aircraft mode) is proposed to facilitate phased adoption with progressively stringent certification requirements. Second, a hybrid material strategy combining marine-grade aluminum alloys (hull) with Carbon Fiber Reinforced Polymer (wings and stabilizers) is validated as optimal for tropical corrosion resistance and weight efficiency, with potential payload improvements of 30–40% over all-aluminum designs. Third, a redundant propulsion architecture with multi-stage Foreign Object Damage (FOD) filtration achieving ≥95% particulate removal efficiency is established as mandatory for safe operations in Indonesia's littoral environment. Operational analysis of the Java Sea demonstrates that Type A WIG craft could achieve approximately 80% annual uptime, reducing the Surabaya–Bawean transit from 3–4 hours to 45–60 minutes. This framework addresses the legal vacuum created by the absence of national WIG regulations and provides a replicable model for other tropical archipelagic nations.
A Systematic Review of Adaptive Thresholding and Fire Hazard Index for Early Fire Detection in Ship Cargo Holds Natanael Suranta; Naomi Louhenapessy; Nafi Almuzani; Mohamad Ridwan; Suhartini Suhartini; Markus Yando; Akhmad Gifari Multazam; Felia Natasya; Yosafat Nandi Gusta Hendrawan; Michael Sugiarto Simamora
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 5 (2026): Dinasti International Journal of Education Management and Social Science (June
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i5.6637

Abstract

Early fire detection in ship cargo holds remains a persistent maritime safety challenge, particularly due to the inadequacy of conventional fixed-threshold sensor systems under highly dynamic onboard environments. This study employs a PRISMA-based systematic review of 20 empirical and simulation-based studies retrieved from IEEE Xplore, Scopus, ScienceDirect, SpringerLink, and Web of Science, covering publications from 2010 to 2025. The review examines how adaptive thresholding systems and Fire Hazard Index (FHI) frameworks can integrate multi-parameter sensor data — including gas concentration, temperature, humidity, oxygen levels, and airflow — to improve detection sensitivity and reduce false alarms in maritime cargo environments. Key findings indicate that hybrid approaches combining probabilistic sensor fusion (Bayesian inference, Dempster–Shafer theory) with machine learning classifiers (Support Vector Machine, Random Forest) achieve false alarm reductions of 30–50% compared to static-threshold systems. However, critical gaps remain: fewer than 20% of reviewed studies were validated under real maritime operational conditions, no standardized FHI framework has been adopted for regulatory compliance, and real-time adaptive learning mechanisms remain computationally constrained for onboard deployment. This review contributes a structured synthesis of adaptive algorithm design, FHI integration principles, and system validation requirements, providing a foundation for developing standardized, maritime-specific fire detection frameworks capable of enhancing safety across diverse vessel operations.
Co-Authors Akhmad Gifari Multazam Antoni Arif Priadi Felia Natasya Larsen Barasa Louhenapessy, Naomi Mahsa Gyda Rahma Markus Yando Mohamad Ridwan Muhammad Eddy Taufik Nafi Almuzani Natanael Suranta Natanael Suranta Sahattua P. Simatupang Suhartini Suhartini Tri Cahyadi Winarno Winarno Yosafat Nandi Gusta Hendrawan