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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Achmad Dhany Fachrudin
Politeknik Pelayaran Surabaya
Mathematics

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Mathematical Literacy as a Key Competency for Maritime Education: Systematic Review of Cadet Competencies Novitasari Novitasari; Eka Nurmala Sari Agustina; Achmad Dhany Fachrudin; Saiful Irfan
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 2 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i2.1112

Abstract

This study discusses the role of mathematical literacy as the main competency that cadets need to have in the field of maritime education. Through a systematic literature review (SLR), the mathematical literacy competencies needed by cadets in the maritime field are navigation, problem solving, use of modern technology, operational management, critical and logical thinking, and accurate data-based decision making. This systematic review provides an illustration of literacy mastery Mathematics not only supports cadets' understanding of basic maritime concepts, but also improves cadets' abilities in dealing with challenges or unexpected situations on board ships and while at anchor. Therefore, developing mathematical literacy must be a priority in cadet education and training programs to produce graduates who are competent and ready to face the complexity of the global maritime industry.
Evaluating Predictive Mathematical Models of Shipboard Operational Decision-Making Performance Using Scenario-Based Assessment Novitasari Novitasari; Achmad Dhany Fachrudin; Eka Nurmala Sari Agustina; I’ie Suwondo; Antonius Edy Kristiyono; Arif Fadhlur Rohman Fattah
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 2 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i2.46178

Abstract

Shipboard operational decision making requires seafarers to interpret numerical information, identify operational risks, apply procedures, use onboard technology, and coordinate actions under changing conditions. This study evaluated predictive mathematical models of shipboard operational decision-making performance using scenario-based assessment. Data were obtained from 78 experienced seafarers enrolled in Recognition of Prior Learning programs in Nautical Studies and Marine Engineering. Five self-reported constructs were examined: operational data understanding, seafaring experience, SOP and checklist use, shipboard technology utilization, and communication and coordination. The outcome was the mean of four discipline-specific scenario scores. During manuscript revision, all scenario responses were re-evaluated with the predefined 1–5 rubric by discipline-specific subject-matter lecturers, and all analyses were repeated using these expert-assessed scores. OLS with HC3 robust standard errors was used as the inferential baseline, while Ridge regression was assessed using repeated nested stratified five-fold cross-validation. The OLS model yielded R² = 0.198 and adjusted R² = 0.130; X1–X5 were not jointly significant after program adjustment (p = 0.231). The best predictive model, Ridge with X1–X5 and program, achieved mean cross-validated R² = 0.075 (SD = 0.030), RMSE = 1.099, and MAE = 0.950. These findings indicate modest out-of-sample prediction and support cautious use of self-reported operational constructs as predictors of scenario-demonstrated performance.
Co-Authors Antonius Edy Kristiyono Arif Fadhlur Rohman Fattah Eka Nurmala Sari Agustina, Eka Nurmala Sari I’ie Suwondo Novitasari Novitasari Saiful Irfan