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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan IPTEK Journal of Proceedings Series Teknika: Jurnal Sains dan Teknologi Jurnal IPTEK JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Al Ishlah Jurnal Pendidikan Journal of Economic, Bussines and Accounting (COSTING) Science and Physics Education Journal (SPEJ) INOVTEK POLBENG Prosiding Seminar Nasional Darmajaya INTECOMS: Journal of Information Technology and Computer Science Alignment: Journal of Administration and Educational Management Adimas : Jurnal Pengabdian Kepada Masyarakat DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) INTEGRITAS : Jurnal Pengabdian Journal of Applied Science, Engineering, Technology, and Education International Journal of Marine Engineering Innovation and Research Journal of Management and Bussines (JOMB) Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) ARSY : Jurnal Aplikasi Riset kepada Masyarakat DEDIKASI PKM Journal of Marine-Earth Science and Technology Jurnal Ekonomi Proceeding Applied Business and Engineering Conference Apollo: Journal of Tourism and Business Journal of Embedded Systems, Security and Intelligent Systems Indonesian Journal of Maritime Technology or abbreviated (ISMATECH)
Romadhoni
Departement Of Naval Architecture, Politeknik Negeri Bengkalis, Bengkalis, 28711
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Assessment Seakeeping Performance And Operability Model A Fast Craft Using Axe Bow Romadhoni Romadhoni; Budhi Santoso; IK.A Pria Utama
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 4 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i4

Abstract

Hull shape affects the characteristics of movement and operability ship itself. Operability ship is at sea the amount of time during which the structure is capable of operating in accordance with the criteria established and high correlation to wave in which criteria will be exceeded. In the research will be carried out analysis of three degrees of freedom of movement and pitch roll heave against the ship model-type crew boat planing hull and AXE Bow size 38 meters on a regular wave with future parameter (heading, speed, mass body, radius gyration, damping and etc.) are presented in the form of graphic images Response Amplitude Operator (RAO). Motion prediction in regular waves has been performed by running a mathematical model developed on the basis of a 3-liner potential theory, and further transformed into the motion in irregular waves through the spectral analysis. The calculation is performed with the help of software computing HydroSTAR Ver.7.1 will be compared with Maxsuft software. This latter analysis was conducted for all level of intensities by referring to the wave scatter data for Natuna Sea, and then correlated to the operational criteria. Results of evaluation exhibits that at full load, operational crew boat could be carried out at significant wave heights Hs ranging from 0.245m up to 3.745m, which has a proportion of occurrence as much as 97.02% to model planing hull and as much as 98.72% to model AXE Bow. Crew boat operation would not be safely conducted at wave heights higher than those, in which their occurrence in Natuna Sea is only 2.720%, model hull planing and is only 0.14% model AXE Bow
Development of Smart Assessment System For Evaluating Maritime English Competence Using Machine Learning Aprizawati Aprizawati; Romadhoni Romadhoni; Budhisantoso Budhisantoso
AL-ISHLAH: Jurnal Pendidikan Vol 18, No 1 (2026): MARCH 2026
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v18i1.9624

Abstract

Maritime English proficiency assessment is essential for cadets and maritime professionals, yet manual scoring can be time-consuming and prone to inter-rater variability. This study proposes a web-based smart assessment system that integrates machine learning to classify Maritime English proficiency into Beginner/Intermediate/Advanced using four feature scores: listening, reading, writing, and speaking. The dataset used in this work is simulated (1,000 records) for proof-of-concept evaluation because access to large, standardized real examination data was limited and required institutional clearance; simulation enables controlled class balance and repeatable experimentation. Class labels are generated using rubric-based threshold rules, and the labeling scheme is validated by two Maritime English examiners who review the thresholds and independently rate a random subset of 200 samples; agreement is quantified using Cohen’s kappa (κ) to ensure reliability. We adopt an 80/20 hold-out split and apply stratified 5-fold cross-validation on the training set for model selection, using grid-search hyperparameter tuning. We compare Support Vector Machine (SVM) and Random Forest and report accuracy, precision, recall, macro-F1, and brief per-class performance for Beginner/Intermediate/Advanced. SVM achieves 92% accuracy with macro-F1 = 0.905, outperforming Random Forest (89%, macro-F1 = 0.875). Future work will validate the system using real assessment datasets in operational training settings.
Operational Management of Ro-Ro Ferry Services to Improve Crossing Service Efficiency on the Bengkalis–Sungai Pakning Route Arwanda Arwanda; Romadhoni Romadhoni
Apollo: Journal of Tourism and Business Vol. 4 No. 2 (2026): May 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i2.677

Abstract

Roll-on/Roll-off (Ro-Ro) ferry transportation plays an important role in supporting community mobility and logistics distribution in the coastal areas of Bengkalis Regency. One of the main issues on the Bengkalis–Sei. Paking route is the suboptimal efficiency of the ship's berthing time, which affects vehicle queues, departure delays, and reduces the quality of the ferry service. This study aims to analyze the efficiency of the Ro-Ro ship turnaround time on the Bengkalis–Sei. Paking route and identify the factors affecting delays in the loading and unloading process of vehicles. This research method uses a descriptive quantitative approach thru field observations, measurement of ship operational times, and statistical analysis of arrival times, unloading times, loading times, and ship departure times. The research shows that the average berthing time of the ships ranges from 38 to 52 minutes, exceeding the regional ferry port operational standard set between 30 to 45 minutes. The main factors causing inefficiency include disorganized vehicle queues, limited dock capacity, weather conditions, and suboptimal port operational coordination. Analysis shows that the implementation of a digital queue system, vehicle pattern management, and optimization of loading and unloading procedures can reduce berthing time by 15–20%. This research is expected to serve as a basis for recommendations to improve the efficiency of ferry transportation services in Bengkalis Regency.
DIGITALISASI PROSES APPROVAL AKADEMIK NAUTIKA MELALUI SISTEM INFORMASI BERBASIS WEB DI JURUSAN KEMARITIMAN Aprizawati Aprizawati; Robyansyah Robyansyah; Zusniati Zusniati; Romadhoni Romadhoni; Adelia Fitriyani
INTECOMS: Journal of Information Technology and Computer Science Vol. 9 No. 3 (2026): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/avykda40

Abstract

Tujuan dari penelitian ini adalah untuk mengembangkan dan menerapkan sistem informasi berbasis web yang akan membantu digitalisasi proses persetujuan akademik di Program Studi Nautika, Jurusan Kemaritiman. Selama ini, proses persetujuan seperti pengajuan penerimaan taruna, sistem Kartu Rencana Studi (KRS), izin praktek laut, dan validasi nilai dilakukan secara manual, yang memakan waktu lama dan rentan terhadap kesalahan administrasi. Metode penelitian dan pengembangan (R&D) ini menggunakan model pengembangan Waterfall, yang mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dibuat menggunakan bahasa pemrograman PHP dengan basis data MySQL dan menerapkan konsep kontrol akses berbasis peran untuk siswa, pengajar, dan admin. Hasil pengujian fungsional menggunakan Black Box Testing menunjukkan bahwa seluruh modul sistem berjalan sesuai kebutuhan dengan tingkat keberhasilan 100%. Di sisi lain, skala kemudahan sistem (SUS) terhadap 30 responden menerima skor rata-rata 82,5, yang menempatkannya dalam kategori "baik". Sistem ini terbukti meningkatkan efisiensi proses persetujuan hingga lima puluh lima persen lebih cepat dibandingkan dengan metode manual. Selain itu, penerapan sistem ini meningkatkan transparansi dan akurasi data akademik. Oleh karena itu, digitalisasi melalui sistem informasi ini dapat membantu meningkatkan efisiensi layanan pendidikan dan mendorong transformasi digital dalam pendidikan vokasi kemaritiman. Kata Kunci: Digitalisasi, Approval Akademik, Sistem Informasi, Web-Based, Nautika, Waterfall
Intelligent Optimization of Fast Boat Hull Form for Resistance Reduction Using CFD and Surrogate-Assisted Algorithms Romadhoni; Budhi Santoso; Muhammad Alimul Hafiz
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 1 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i1

Abstract

High-speed fast boats operating at high Froude numbers experience rapidly increasing resistance due to coupled viscous and wave-making effects. This study proposes a surrogate-assisted hull-form optimization framework that combines Reynolds-averaged Navier-Stokes (RANS) CFD (SST k-ω) with Gaussian Process Regression (Kriging) to minimize the total resistance of a fast monohull while maintaining displacement and geometric feasibility. The hull geometry was parameterized using four variables: deadrise angle, prismatic coefficient, longitudinal centre of buoyancy (LCB), and bow entrance angle. A set of candidate designs was evaluated by CFD, a surrogate model was trained and validated (R² = 0.985, prediction error < 2%), and global optimization was carried out using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). CFD verification of the best design shows a consistent resistance reduction across Fn = 0–0.75, with a maximum reduction of 14.4% at Fn = 0.65 compared to the baseline hull. The optimized hull exhibits reduced bow pressure peaks and delayed flow separation at the transom. The surrogate-assisted strategy reduces the number of CFD evaluations and lowers the overall computational effort by about 78% while preserving prediction accuracy. R^2=0.992.
Evaluation of Longitudinal Strength of a Cargo Barge Based on Shear Force and Still Water Bending Moment under Various Loading Conditions: Evaluation of Longitudinal Strength of a Cargo Barge Based on Shear Force and Still Water Bending Moment under Various Loading Conditions Budhi Santoso; Romadhoni Romadhoni; Jamal Jamal; Deny Nusyirwan; Naufal Abdurrahman; Zulfaidah Ariany
Indonesian Journal of Maritime Technology Vol. 4 No. 1 (2026): Volume 4 Issue 1, June 2026
Publisher : Naval Architecture Department, Kalimantan Institut of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/ismatech.v4i1.8481958

Abstract

ABSTRACT – Longitudinal strength is a fundamental aspect of barge structural safety because variations in loading magnitude and load position may significantly affect the global hull girder response. This study aims to evaluate the longitudinal strength of a cargo barge based on shear force and still water bending moment under various loading conditions. The object of the study is a cargo barge with principal dimensions of 330 ft × 90 ft × 21 ft and a lightship weight of 1802.9 tons. The analysis was carried out using a still-water longitudinal strength approach based on the distribution of weight and buoyancy along the vessel length. Six loading conditions were investigated, namely lightship, fully loaded, partially loaded at 50%, and three crane-shift positions at the aft, midship, and fore sections. The net load distribution was obtained from the difference between distributed weight and buoyancy, and then integrated to determine the shear force and still water bending moment along the hull. The results show that the fully loaded condition produced the most critical structural response, with a maximum shear force of 0.385 × 10³ ton at Frame 50 and a maximum still water bending moment of -6.212 × 10³ ton·m at Frame 35. In contrast, the lightship condition generated the lowest internal force response. All evaluated loading conditions remained below the permissible shear force and still water bending moment limits, indicating that the barge satisfies the applicable longitudinal strength requirements. The study concludes that the vessel is structurally acceptable under all investigated loading scenarios, with the fully loaded condition representing the governing case for safe operation and load planning.
IoT–DSS-Based Fleet Management System for Enhancing the Operational Efficiency of Fishing Vessels Romadhoni; Budhi Santoso; Johny Custer; M. Nur Faizi; Mohamed Nasir Alivi; Abdul Razak Shaari
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2615

Abstract

Purpose - This study aims to develop an IoT–Decision Support System (DSS)-based Smart Fleet Management System (SFMS) to improve the operational efficiency of small- to medium-scale fishing vessels through real-time monitoring and data-driven decision-making. Design/methods/approach – The proposed system integrates IoT sensors (GPS, fuel flow, temperature) with an ESP32 microcontroller for real-time data acquisition and transmission via MQTT to a cloud platform. A hybrid DSS combining linear regression and fuzzy logic is developed to analyze vessel performance and generate operational recommendations. Field validation was conducted on three fishing vessels, with 1,200 telemetry samples for regression modeling, 300 decision samples for DSS evaluation, and 4,320 data packets for communication analysis. Findings - The implementation of SFMS resulted in significant improvements in operational performance. Fuel consumption decreased by 20.0% (from 50.7 L/h to 40.6 L/h), idle operational time was reduced by 28.9% (from 3.8 to 2.7 hours/day), and the Operational Efficiency Index (OEI) improved by 22.7% (from 0.110 to 0.135 kn/L). The DSS achieved an accuracy of 92.7% in decision recommendations, while system reliability reached 99.2% uptime with low latency and acceptable packet loss (1.48%). Research implications/limitations – Although effective, the study is limited by a small number of vessels and the lack of synchronized environmental data, suggesting the need for broader validation. Originality/value – This study presents a cost-effective and scalable IoT–DSS framework tailored for small-scale fisheries, supporting sustainable operations and maritime digital transformation.
Co-Authors -, Nuhasanah Abdul Razak Shaari Adelia Fitriyani Afriantoni Afriantoni Afriantoni, A Afridon, M Akmal Lazuardy Anwar, Zakiyah Aprizawati Aprizawati aprizawati aprizawati Aprizawati Aprizawati Aprizawati, Aprizawati Ariany, Zulfaidah Arief Teguh Pribadi Arwanda Arwanda Bobi Satria Budhi Santoso Budhi Santoso Budhi Santoso Budhi Santoso Budhi Santoso Budhisantoso Budhisantoso Custer, Johny Deny Nusyirwan Depandi Enda Devy Sofyanty Faizi, M Nur Faizi, M. Nur Fazrian Fazrian Fazrian, Fazrian Hafiz, Muhammad Alimul Handriadi, Handriadi Hardiyanto Hardiyanto Hardiyanto Hardiyanto, Hardiyanto I.K.A.P Utama IK.A Pria Utama IKAP Utama Jamal Jamal Jamal Jamal Juanda Juanda Jupri Jupri Lazuardy, Akmal Li, Binbin M Ikhsan M Ikhsan Makhsudovna, Istamova Shokhida Mamadiyarov, Zokir Mohamed Nasir Alivi Muahammad Yudi Ismail Marzuki Muhammad Alimul Hafiz Muhammad Helmi Muhammad Ikhsan Muhammad Ridwan Nasution, Polaris Naufal Abdurrahman Nur Rahmani Nurhasanah Nurhasanah Nurhasanah Nurhasanah Pardi Pardi Pardi Pardi, Pardi Polaris Nasution Rahmani, Nur Razali Razali Rizali Robyansyah Robyansyah Santoso, Budhi Septi Ayu Angraini Septi Ayu Angrayni Sidik Purwoko Siswandi B Supria Supria, Supria Supriyadi Supriyadi Suzdayan Suzdayan Suzdayan Suzdayan, Suzdayan Utama, IKAP Zulfaidah Ariany Zulfaidah Ariany Zulyani Zulyani Zusniati Zusniati