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All Journal IPTEK Journal of Proceedings Series International Journal of Marine Engineering Innovation and Research
Elwas Cahya Wahyu Pribadi
Department Of Mechanical Engineering, Lambung Mangkurat University, Banjarmasin 70123, Indonesia, And Is Also A Doctoral Student At The Department Of Marine Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia.
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Warehouse Inventory Management System for the Smooth Delivery of Cargo to Reduce Dwelling Time at the Port of Tanjung Emas Semarang Elwas Cahya Wahyu Pribadi; Raja Oloan Saut Gurning; Eko Susanto
IPTEK Journal of Proceedings Series No 4 (2020): 2nd Maritime Safety International Conference (MASTIC) 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i4.7938

Abstract

Delivery cargo is a job of moving goods from the pile or a heap in the warehouse, handing it to be arranged on the vehicle and sending it to the receiving warehouse (consignee). The delivery of goods in the form of fertilizer carried out by PT. PUSRI (Pupuk Sriwijaya) at the Port of Tanjung Emas Semarang from the first line warehouse to each branch of the receiving warehouse throughout Indonesia experienced problems. The problem faced in the activities of the cargo delivery is the delay in the process of shipping goods caused by one of them by a bad warehouse inventory management system so that dwelling time is getting longer. Therefore, a good warehouse inventory management system is needed. This system has several functions, among others, as storing detailed information of goods and pointing to the location of goods. Warehouse inventory management system created with the Internet of Things was developed to track the goods / products that were previously recorded. In monitoring all information used Aduino. the web was built to provide comfort and ease in finding goods / products. With this system the cost required is low and efficient and very easy to use.
Reliability Analysis of Passenger Ship Structure Conversion in Bali Straits Rizky Chandra Ariesta; Aries Sulisetyono; Totok Yulianto; Elwas Cahya Wahyu Pribadi
International Journal of Marine Engineering Innovation and Research Vol 7, No 4 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v7i4.14749

Abstract

LCT conversion passenger ships have been widely operated in the waters of the Bali Strait. Ship operations in the Bali Strait result in repeated loads on the structure. Repeated loading produces vertical and horizontal bending moments that act randomly due to waves. Based on this, it is necessary to analyze the structure of the ship. The purpose of this study was to analyze the reliability value of the ship structure operating in undulating waters. Wave analysis is performed using the spectral method to determine the value of the load acting on the ship, while the reliability calculation uses the Mean Value First Order Second Moment (MVFOSM) method to determine the reliability value. The analysis was carried out on a full load and an empty load. The value of the reliability of the structure at full load is 0.913615 and at empty load is 0.88948.
Reliability Analysis of Passenger Ship Structure Conversion in Bali Straits Rizky Chandra Ariesta; Aries Sulisetyono; Totok Yulianto; Elwas Cahya Wahyu Pribadi
International Journal of Marine Engineering Innovation and Research Vol. 7 No. 4 (2022)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v7i4.5562

Abstract

LCT conversion passenger ships have been widely operated in the waters of the Bali Strait. Ship operations in the Bali Strait result in repeated loads on the structure. Repeated loading produces vertical and horizontal bending moments that act randomly due to waves. Based on this, it is necessary to analyze the structure of the ship. The purpose of this study was to analyze the reliability value of the ship structure operating in undulating waters. Wave analysis is performed using the spectral method to determine the value of the load acting on the ship, while the reliability calculation uses the Mean Value First Order Second Moment (MVFOSM) method to determine the reliability value. The analysis was carried out on a full load and an empty load. The value of the reliability of the structure at full load is 0.913615 and at empty load is 0.88948.
A Critical Review of Performance Improvement Techniques in Compression Ignition Engines Elwas Cahya Wahyu Pribadi; Rachmat Subagyo; Abdul Ghofur; Rizky Chandra Ariesta
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 3 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i3

Abstract

Compression ignition engines play a critical role in various industrial and transportation applications; however, their environmental impact remains a major concern. Continuous research efforts have been directed toward optimizing engine performance to enhance efficiency and reduce emissions. This paper reviews key strategies that have been investigated for performance optimization, primarily focusing on combustion chamber geometry, fuel properties, and advanced combustion modes. Each of these factors significantly influences the combustion process, thereby affecting engine performance and emission characteristics. While no single method has proven sufficient to fully resolve all challenges associated with these engines, combustion chamber geometry optimization has demonstrated potential in improving efficiency and reducing pollutant emissions. More notably, integrating multiple optimization techniques appears to offer a more effective pathway toward achieving substantial improvements in overall engine performance.
A Machine Learning-Based Approach for Designing SEEMP on Ships: Case Study of CO₂ Emissions at a Container Port Elwas Cahya Wahyu Pribadi; Abdul Ghofur; Rachmat Subagyo; Ma’ruf; Akhmad Syarief; Aldinor Setiawan
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

The management of ship energy significantly affects both cost efficiency such as earnings before interest and environmental sustainability, particularly in reducing CO₂ emissions produced by ship operations. Despite the importance of this issue, research on ship energy consumption within container terminals remains limited. This study aims to estimate CO₂ emissions generated by ship activities in container ports, focusing on emission variables related to the Ship Energy Efficiency Management Plan (SEEMP). The calculation considers active ship movements in the port, including approach, maneuvering, and berthing processes. Energy consumption and CO₂ emissions were analyzed using random forest regression (RF) with default settings, and the model’s accuracy was validated through k-fold cross-validation. The results identified five major factors influencing CO₂ emissions: (1) main engine power, (2) auxiliary engine power, (3) waiting time in the port, (4) maneuvering time, and (5) berthing time. Among these, maneuvering, waiting, and berthing showed the highest significance, confirmed by attribute selection and validation results. The random forest model demonstrated a prediction accuracy of 98.89%, confirming its reliability. Moreover, operational fuel efficiency analysis indicated that combining voyage optimization, skilled operators, and cold ironing facilities could reduce CO₂ emissions by up to 20%. These findings provide valuable insights and serve as a foundation for developing a more effective Ship Energy Efficiency Management Plan to enhance environmental performance in maritime operations.
Comparative Thermal Analysis of Turboprop and Turbofan Engines Ideal Brayton Cycle Efficiency and Performance Implications Cahya Wahyu Pribadi, Elwas; Abdul Ghofur; Rachmat Subagyo; Mastiadi Tamjidillah; Aqli Mursadin; Ma’ruf
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

Comparative thermal analysis of turboprop and turbofan engines in aircraft propulsion systems, with a focus on ideal thermal efficiency based on the Brayton cycle. Thermal efficiency, a dimensionless parameter representing the ratio of heat converted into useful work to the total heat input, is a fundamental indicator of engine performance and energy utilization. Turboprop engines, such as the Garret TPE331-10 powering the CASA C-212 Aviocar, operate as hybrid systems generating both jet thrust and shaft power for propeller rotation. In contrast, turbofan engines, exemplified by the CFM56-3CI, utilize a large bypass fan to achieve higher mass airflow and improved thrust efficiency at subsonic cruise conditions. This study quantitatively evaluates and compares the ideal thermal efficiencies of both engine types using data from previous studies. The analysis reveals that the CFM56-3 turbofan achieves an ideal thermal efficiency of approximately 70.51%, significantly higher than the TPE331-10 turboprop's 48.99%. This 21.52 percentage point difference is primarily attributed to the turbofan's higher compressor pressure ratio, enabling more effective energy conversion within the Brayton cycle. However, the paper also discusses the trade-off between thermal efficiency and propulsive efficiency, noting that turboprops excel at low to medium speeds due to superior propulsive efficiency from their propellers. The findings underscore that while turbofans are better suited for high-speed, long-range flights, turboprops remain optimal for short-haul operations. This comparison provides valuable insights for engineers, designers, and operators in selecting appropriate propulsion technologies and optimizing energy use across various flight missions.
Energy Management Strategies for Hybrid Ship Propulsion: A Systematic Review of MPC, ECMS, and Predictive Control Abdul Ghofur; Elwas Cahya Wahyu Pribadi; Rachmat Subagyo; Mastiadi Tamjidillah; Ma’ruf
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 2 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i2

Abstract

Effective energy management is critical for maximizing the efficiency and environmental benefits of hybrid propulsion systems (HPS) in ships. This systematic review evaluates various advanced energy management strategies (EMS) applied to marine HPS, focusing on model predictive control (MPC), equivalent consumption minimization strategy (ECMS), sequential quadratic programming (SQP), predictive power-split, and rule-based approaches. Based on an analysis of recent international literature, findings indicate that MPC-based EMS improves fuel efficiency by 10-20% and extends battery life through optimal power distribution under dynamic load conditions. Meanwhile, ECMS reduces equivalent fuel consumption by up to 25% under varying operational cycles. Predictive power-split algorithms achieve 15-20% energy savings by anticipating propulsion load changes up to 30 minutes in advance. Compared to conventional rule-based systems, advanced EMS reduces CO₂ emissions by 20-45% and NOx emissions by 20-60%, especially during harbor maneuvering and low-speed cruising. However, challenges remain, including high computational demands for real-time MPC, dependence on accurate load prediction models, and the lack of standardized interoperability protocols. This review concludes that integrating artificial intelligence and digital twins into EMS represents the most promising research direction. For ferries, patrol boats, and research vessels, implementing MPC or ECMS with adaptive tuning can significantly enhance operational performance while complying with IMO EEDI and CII regulations.
Evolution and Innovation of Ship Propulsion Technology: From Paddle Power to Electric and Wind-Assisted Hybrid Systems for a Sustainable Maritime Future Mastiadi Tamjidillah; Elwas Cahya Wahyu Pribadi; Abdul Ghofur; Rachmat Subagyo; Ma’ruf
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 2 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i2

Abstract

Ship propulsion has evolved significantly over thousands of years, from the use of simple paddles around 40,000 BCE to modern advanced systems driven by diesel engines, steam turbines, nuclear reactors, electric motors, and wind power. This systematic literature review aims to synthesize current knowledge on ship propulsion systems, highlighting technological advancements, energy efficiency, and environmental impacts. By analyzing various studies through a qualitative approach and the PRISMA framework, this research identifies three main themes: advanced propulsion systems, propulsion optimization, and hybrid technology integration. The results show that while diesel engines remain dominant, Integrated Full Electric Propulsion (IFEP) systems coupled with induction motors and Permanent Magnet Synchronous Motors (PMSMs) offer higher efficiency and lower emissions. Furthermore, wind-assisted technologies, such as Dynarigs, Flettner rotors, and towing kites, demonstrate great potential to reduce fuel consumption by up to 50% compared to conventional systems, while nuclear propulsion enables higher operational speeds with minimal fuel replenishment. However, key challenges remain, including high initial investment costs, control system complexity, and regulatory acceptance. In conclusion, the future of ship propulsion lies in hybrid configurations that optimize the combination of electric and wind power, supported by predictive computational models and fault-tolerant control to achieve cleaner, safer, and more sustainable maritime operations. Interdisciplinary collaboration is essential to accelerate this transition.
Intelligent Energy Management and Hybrid Propulsion for Ships: A Review of Configurations, AI-Based Strategies, and Decarbonization Potential Mastiadi Tamjidillah; Elwas Cahya Wahyu Pribadi; Rachmat Subagyo; Abdul Ghofur; Ma’ruf
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 2 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i2

Abstract

Stringent IMO regulations targeting a 40% GHG reduction by 2030 and net-zero by 2050 have driven the maritime industry to adopt cleaner technologies, as conventional diesel propulsion often operates inefficiently with high fuel consumption and emissions. This paper presents a descriptive-comparative literature review of hybrid propulsion systems for ships, analyzing peer-reviewed journals published in the last five years. The study examines system configurations (series, parallel, series-parallel), key components (diesel engines, fuel cells, batteries, supercapacitors), and energy management strategies (EMS), with a focus on artificial intelligence-based approaches such as Deep Reinforcement Learning (DRL) and Nonlinear Model Predictive Control (NMPC). The findings indicate that hybrid systems can improve energy efficiency by 15–30% and significantly reduce CO₂, NOₓ, and SOₓ emissions compared to conventional systems, especially during zero-emission port operations. Advanced EMS, particularly DRL algorithms like Proximal Policy Optimization (PPO), enable real-time multi-objective optimization that balances fuel economy, battery health, and component longevity. However, challenges remain, including high initial investment costs, optimal sizing of hybrid energy storage systems, and limited charging infrastructure. This review concludes that despite these barriers, the convergence of intelligent EMS, falling battery prices, and tightening environmental regulations positions hybrid propulsion as a key technology for sustainable maritime transportation, with future potential from waste-heat recovery systems and alternative fuels.
Co-Authors Abdul Ghofur Abdul Ghofur Abdul Ghofur Abdul Ghofur Abdul Ghofur Akhmad Syarief Aldinor Setiawan Aqli Mursadin Aries Sulisetyono Eko Susanto Gurning, Raja Oloan Saut Mastiadi Tamjidillah Mastiadi Tamjidillah Mastiadi Tamjidillah Ma’ruf Ma’ruf Ma’ruf Rachmat Subagyo Rachmat Subagyo Rachmat Subagyo Rachmat Subagyo Rizky Chandra Ariesta Rizky Chandra Ariesta Totok Yulianto