cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dika Rahayu Widiana
Contact Email
dikawidiana@ppns.ac.id
Phone
+6281357743499
Journal Mail Official
icomta@ppns.ac.id
Editorial Address
Politeknik Perkapalan Negeri Surabaya
Location
Kota surabaya,
Jawa timur
INDONESIA
International Conference on Maritime Technology and Its Application
Published by Politeknik Perkapalan Negeri Surabaya
ISSN : -     EISSN : 30899125     DOI : https://doi.org/10.35991/icomta.v1i1
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Aim Primary Mission: To serve as a leading international platform supporting innovative and applied research in maritime technology and interdisciplinary fields, with a focus on sustainability, energy efficiency, and digital transformation in the maritime and engineering industries. Global Contribution: To encourage collaboration among academics, practitioners, and professionals in developing technology-driven solutions for global challenges, including: Climate change. Efficiency in sea transportation. Sustainable management of marine resources. Value Addition: To provide a forum for sharing research that has practical impacts on maritime technology, mechanical engineering, and Industry 4.0 applications in maritime systems. Scope Maritime Engineering Research: Design and Production: Innovations in ship design, marine engineering, and offshore engineering. New material technologies to enhance maritime structures. Operations and Maintenance: Automation and control systems in maritime environments. Predictive technologies for maritime asset maintenance. Environmental Interaction and Safety: Mitigation of environmental impacts in maritime activities. Risk and safety engineering in oceanic operations. Digital Technology Applications in Industry 4.0: Artificial Intelligence (AI) and Big Data: Big data analytics for optimizing maritime operations. AI applications in weather prediction and maritime risk management. Internet of Things (IoT): IoT implementations in smart ports and real-time ship monitoring. IoT solutions for supply chain integration in maritime logistics. Augmented Reality (AR) and Virtual Reality (VR): AR/VR-based training for ship crews. VR simulations for maritime design and operations. Sustainability and Renewable Energy: Renewable Energy Technologies: Utilization of wind and solar energy in ships and offshore platforms. Innovations in alternative fuel technologies for vessels. Energy Efficiency and Eco-friendly Design: Energy-efficient ship designs with low carbon footprints. Environmentally friendly cleaning and maintenance technologies. Mathematical and Computational Approaches: Modeling and Simulation: Computational fluid dynamics (CFD) for ship design optimization. Numerical simulation for marine structures and material interactions. Optimization and Risk Assessment: Probabilistic modeling for evaluating risks in maritime operations. Mathematical methods for managing complexity in maritime logistics systems. Multidisciplinary Integration and Social Impact: Maritime Economics and Policy: Policy and regulatory studies supporting sustainable maritime industries. Economic impact analysis of new maritime technologies. Ergonomics and Human Factors: Research on comfort, safety, and productivity in maritime system operations. Coastal Community Empowerment: Technological solutions for sustainable fisheries and aquaculture. Technology-driven strategies for managing coastal resources.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 12 Documents
 1   2 
Application Of Machine Learning Methods in Detecting Anomalies On L.O Cooler Component through Hyperparameter Optimization Nurvita Arumsari; Kelviano Daffa Septiangga; Invinandri joko Ahmad; Edi Haryono; Feby Agung Pamuji
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.1

Abstract

LO Cooler is a crucial component in the ship's engine that functions to maintain the temperature of the lubricating oil within safe operational limits. Interference or failure of the LO Cooler can cause serious damage to the vessel's main engine. Early detection of anomalies in LO coolers can help prevent greater damage, thereby improving the reliability and operational efficiency of the vessel. This study proposes a machine learning-based anomaly detection method to monitor the performance of the LO Cooler in real time. In this study, operational data from the RPM, temperature, and pressure, on the LO Cooler were collected over a period of time. Machine learning algorithms, such as Support Vector Machine (SVM) and Decision Tree are applied to detect anomalous patterns in the data that indicate potential failures. The result that Decision tree modeling is the most accurate method for developing models for the LO Cooler of the main engine. With a data split ratio of 90:10 for training and testing and it achieved the highest accuracy, as indicated by the best following metrics MAE, RMSE, RAE, TP Rate and F-measure.
Orientation Holding Control for Autonomous Surface Vehicles using Adaptive Neuro-Fuzzy Inference System Method Dimas Prostovani Riananda; Nurahmad Hadi Cahyadi; Zindhu Maulana Ahmad Putra; Joko Endrasmono; Ryan Yudha Adhitya; Agus Khumaidi
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.2

Abstract

The completion of autonomous surface vehicle water missions is required to have adaptive capabilities in maintaining the position, attitude or tilt, and stability of the ship against the influence of external disturbances that can interfere with the ASV's navigation system. Therefore, this research focuses on the orientation holding control system against external disturbances. To determine the value of the angular shift or tilt of the ship's facing direction using the CMPS14 sensor. The control method used to determine the ship's propulsion response in determining the speed based on the heading error value and the amount of rotation speed through the bow thruster in maintaining the ship's heading using the ANFIS (Adaptive Neuro-Fuzzy Inference System) Method. The ANFIS model that has been made for predicting the value has an RMSE value of 1.6169% which is then implemented on a microcontroller with conversion and has an accuracy value of 99,6%. In testing the performance of the ship orientation control system by giving 10 variations of disturbance shows an average response time of 5.08 seconds. So that the application of the ANFIS method in this control system has good performance and can be used as a reference for further research.
Detection of Screen Printing Result Using U-Net Convolutional Neural Network Method to Improve Quality Control Ivan Nur Rahman; Edy Setiawan; Adianto
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.3

Abstract

The increasingly competitive convection industry has compelled all enterprises to enhance production quality. One sector affected is the screen printing industry. According to information from one of the companies, customer complaints often arise from suboptimal screen printing results (defects). To achieve satisfactory outcomes, it is crucial to address this issue. Currently, the classification of result eligibility or quality control in screen printing relies on human observation. Pattern recognition technology is significantly transforming the convection industry, particularly within screen printing. This technology enhances quality control, shifting from manual processes to automated quality detection of results. Real-time pattern recognition employs image processing techniques. In this implementation, we utilize image processing with Convolutional Neural Networks for object classification., successfully identifying screen printing defects with an accuracy rate of 97%.
Investigating The Engine Propeller Matching Of Triple Screw Ro-Ro Passenger Ship Bagas Rahkmad Ramadhan; Syafiuddin; Agung Purwana
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.4

Abstract

The conversion of a Ro-Ro Vehicle Carrier into a Ro-Ro Passenger Ship. in compliance with PERMEN RI Number PM 62 of 2019. necessitates the use of at least two main engines. This study evaluates the performance of the C5-75 and MAU4-65 propellers to assess their efficiency. At a speed of 21 knots. the C5-75 propeller achieves an efficiency (ŋ) of 0.66 in clean hull conditions and 0.655 in rough hull conditions. The MAU4-65 propeller shows an efficiency of 0.646 in clean hull conditions and 0.653 in rough hull conditions. The Engine Propeller Matching (EPM) only a 12640 kW main engine indicates optimal operation at 109 rpm (clean hull) and 112 rpm (rough hull). Added 2 auxiliary main engine 1040 kW engines operate at 1577 rpm (clean hull) and 1597 rpm (rough hull). These findings highlight the propeller's performance and the required engine settings to achieve the desired speed after conversion.
Localization Tracking for Autonomous Surface Vehicles Using You Only Look Once version 5 in ROS Gazebo Simulator Zindhu Maulana Ahmad Putra; Anugerah Ekha Gusti Audryadmaja; Joko Endrasmono
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.5

Abstract

Autonomous Surface Vehicles (ASVs) have emerged as a significant research focus due to their extensive applications. A major challenge in ASV development is the rapid and accurate detection and identification of objects on the water's surface, such as buoys. This study investigates the use of YOLOv5 for buoy detection on ASVs, focusing on path localization within the Robot Operating System (ROS) framework. Path localization is employed to determine the vessel's route and its movement through the test path based on buoy detection. The results indicate that YOLOv5 achieved a 100% accuracy rate in detecting boundary buoys within the Gazebo simulator, a component of the ROS ecosystem. Furthermore, the ASV was able to navigate precisely along the center of the test path without colliding with the boundary buoys. This study is expected to make a significant contribution to the advancement of ASV technology.
CALCULATE ENERGY BALANCE IN POWER BOILERS USING BIOMASS TO DETERMINE ENERGY REQUIREMENTS Sriwijayasih, Imaniah; Novianarenti, Eky; Setiawan, Priyo Agus; Abubakar, Kgs Muhammad; Haryati, Sri; Karuniawan, Bayu Wiro; Auliya, Prativi Khilyatul; Sarena, Sryang Tera
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.7

Abstract

Boilers function to produce hot water or hot steam from combustion products to be converted as energy. Steam is used to drive turbines to produce electrical energy, apart from that steam is also used for heating. The boiler fuel uses biomass in the form of tree bark, namely acacia mangium. The aim of this study is to find out whether the process running in the Power boiler is good or not, it can be seen from its efficiency, so that the energy balance calculation is carried out on the Power boiler itself. Therefore, a study is needed to determine the energy balance of the unit. From the heat balance calculation, the heat data for producing steam was 1924,927,054 kcal, the latent heat of vaporization was 5732,620,038 kcal and the feed water heat was 11156296.65 kcal. So from the calculations obtained we can find out the energy balance in the boiler and the resulting Supply Steam Consumption
DIGISAFETY: Digitalization of Safety Inventory and Inspection System for Fire Protective Equipment using AppSheet (Study at a Shipbuilding Company) Mades Darul Khairansyah; Aida Nelawati Rosa
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.8

Abstract

The shipbuilding industry is a high-risk sector for accidents, including fires. Indonesian Regulation No. 1 of 1970 mandates worker safety protections, requiring companies to provide and maintain effective fire protection equipment through regular inventory and inspections. Observations show that the fire protection equipment at the shipbuilding company includes fire extinguishers, sprinklers, and hydrant systems. However, the current manual inventory and inspection processes are inefficient, prone to human error, and result in unintegrated data. In the digital era, digital technology is essential for efficient inspections and reporting. This research aims to design an information system for integrating the inventory and inspection of fire protection equipment at the shipbuilding company. The system, developed using AppSheet and integrated with Google Sheets, features Inventory Database, Inspection Dashboard, Inspection Data, Inspection Schedule, Layout Mapping, Maintenance Data, and Standard Operational Procedure (SOP) menus. Additional functionalities include inspection reminder notifications and data download options. The system supports three user roles: Safety Foreman as executor, SHE Supervisor as admin, and SHE Assistant Manager as management. Usability testing with USE questionnaires resulted in a score of 90.3%, categorizing the system as "Highly Feasible" for use. System testing was conducted using usability testing with USE questionnaires, which resulted in a score of 90.3%, categorizing it as "Highly Feasible" for use.
The Effect of Increasing Catalyst Concentration of Fabricated Hydrogen Generator on Proton Exchange Membrane Fuel Cell Performance M Anis Mustaghfirin; Mardi Santoso; M Hakam; Rafi Akbar Heriyansyah; Aminatus Sa’diyah; Eky Novianarenti; Ni’matut Tamimah; Haidhar Wahyu S
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.9

Abstract

Hydrogen can be utilised through a Proton Exchange Membrane Fuel Cell (PEMFC) which has many advantages, namely more energy yield, higher energy density, no emissions, and no need for recharging compared to using batteries. The highest electrolyzer efficiency results were found on the 0.05M KOH catalyst with a value of 1.70% and it can be concluded that the higher the catalyst concentration, the higher the electrolyzer efficiency. The highest power density and fuel cell efficiency quality is found in the 0.05M NaCl catalyst but with the lowest Specific Fuel Consumption (SFC) of 0.62 kg/kWh, this indicates that the relationship between concentration and power density and fuel cell efficiency is directly proportional while it is inversely proportional to Specific Fuel Consumption ( SFC). The best Break Even Ratio value is found in the NaCl catalyst type 0.05 with a value of 0.082. The use of a seawater catalyst has the highest efficient value at a percentage of 100% with electrolyzer efficiency reaching 13.36% and the lowest SFC, namely 0.24 kg/kWh. Based on these results, the use of hydrogen generators for Proton Exchange Membrane Fuel Cells (PEMFC) needs to be developed.
Quality Analysis of Outbound Container Stuffing using the Six Sigma Method in a Logistic Shipping Company in Surabaya Devina Puspita Sari; Darien Morieno; Alfred Bawole
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.10

Abstract

In the current era of globalization, the role of trade as a driver of a country's economic growth is increasingly significant (Hasoloan, 2013). Good logistics movement is the key to equitable economic development. This study aims to analyze the quality of container stuffing outbound flows in a logistics shipping company in Surabaya using the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) method. The main problem identified was operational delays due to the scarcity of empty containers at container yards, which occurred 130 times in the 4th quarter of 2023. The analysis using the Six Sigma method showed a DPMO value of 477,900 and a sigma value of 1.56, which indicated an inefficiency in operations. The DMAIC approach proposes improvement solutions to increase container availability and optimize trucking operations, thereby increasing On-Time Performance (OTP) from 88% to 90%. Implementing these improvements is expected to increase productivity and customer satisfaction and reduce operational costs due to delays.
THE EFFECTS OF PREHEAT AND FILLER BUFFER LAYER ON THE MATERIALS OF ASTM A36 IN THE HARDFACING OVERLAY WELDING TO THEIR HARDNESS AND METALLOGRAPHY Mohammad Afif Hamdani; Dika Anggara; Rikat Eka Prastyawan
International Conference on Maritime Technology and Its Application Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application
Publisher : Surabaya State Polytechnic of Shipbuilding

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/icomta.v1i1.11

Abstract

ASTM A36 steel overlay products have been used by the industry as liners to protect the main material from abrasion attacks that will occur. From the background above, the formulation of the problem can be written "How were the effects of variations in preheat and filler metal buffer layers in the hardfacing overlay welding of ASTM A36 materials to the hardness values and metallography?" The purpose of this study was to find the results of each test. The experimental research design was used by giving the preheat variations of 1000 and 2000 and filler buffer layers E308LT and E316LT. The hardfacing overlay welding process was carried out by using special electrodes with high hardness. The results of the hardness test showed the highest value, namely 698.7 HVN on the specimen with the E316LT buffer layer. The macro test results showed the fusion in welding results. On the other hand, the results of micro testing in the hardfacing layer area were dominated by primary carbide and austenite. The conclusion of this study was that the higher the preheat temperature process, the lower the hardness value. The selection of buffer layer electrodes with a small Ni composition increased the hardness value. This study is expected to contribute to the industry working on hardfacing overlay impressions as the reference.

Page 1 of 2 | Total Record : 12

 1   2 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2025): ICOMTA : International Conference on Maritime Technology and Its Application