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International Journal of Marine Engineering Innovation and Research
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 25415972     EISSN : 25481479     DOI : ttp://dx.doi.org/10.12962/j25481479
Core Subject : Science, Social, Engineering,
Automotive Engineering 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
International Journal of Marine Engineering Innovation and Research (IJMEIR) is an open-access journal, which means that visitors all over the world could publish, read, download, cite and distribute papers published in this journal for free of cost. IJMEIR journal has a vast group of visitors, a far-reaching impact and pretty high citation. IJMEIR adopts a peer-review model, which insured fast publishing and convenient submission. IJMEIR now cordially inviting you to contribute or recommend quality papers to us. This journal is geared towards the dissemination of original innovation, research and practical contributions by both scientists and engineers, from both academia and industry. Theses, dissertations, research papers, and reviews associated with all aspects of marine engineering, marine sciences, and marine technology are all acceptable for publication. International Journal of Marine Engineering Innovation and Research (IJMEIR) focus and scopes are preserve prompt publication of manuscripts that meet the broad-spectrum criteria of scientific excellence. Areas of interest include, but are not limited to: Automotive Biochemical Biology Biomedical science Biophysics and biochemistry Chemical Chemistry Combat Engineering Communication Computer science Construction Energy Energy storage Engineering geology Enterprise Entertainment Environmental Environmental Engineering Science Environmental Risk Assessment Environmental technology Financial Engineering Fire Protection Engineering Fisheries science Fishing Food Science and Technology Health Care & Public Health, Health Safety Health Technologies Industrial Technology Industry Business Informatics Machinery Manufacturing Marine Engineering Marine sciences Marine technology Marine biology Marine economic Marine engines Marine fisheries Marine fuel Marine geology Marine geophysic Marine management Marine oil and gas Marine policy Material sciences Materials science and engineering Mathematics Mechanics Medical Technology Metallurgical Micro-technology Military Ammunition Military Technology Military Technology and equipment Mining Motor Vehicles Naval Engineering Neuroscience Nuclear technology Ocean Robotics and Automation Safety Engineering Sanitary Engineering Space Technology Statistics Traffic Transport Visual Technology
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1,114 Documents
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Optimizing Laundry Wastewater Treatment: A Hybrid Approach Using Poly-Aluminum Chloride Coagulation and Activated Carbon Adsorption Sugito; Aliffia Rica Ambima; Muhammad Al Kholif; Firda Lutfiatul Fitria
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4753

Abstract

Laundry wastewater contains high levels of Chemical Oxygen Demand (COD) and phosphate (PO4), contributing to water pollution and eutrophication. This study investigates an integrated treatment approach using poly-aluminum chloride (PAC) coagulation and activated carbon adsorption to improve wastewater treatment efficiency. The research aims to determine the optimal PAC dosage (10% and 15%) and stirring time (0, 5, 15, 30, and 45 minutes) for maximizing COD and PO4 removal. A batch reactor system was used to conduct the treatment process, and the analysis followed the Indonesian National Standard (SNI) methods. The results demonstrated that the highest removal efficiencies were achieved with a 15% PAC dosage and a stirring time of 45 minutes. Under these conditions, COD levels were reduced from 2189.62 mg/L to 143.47 mg/L, achieving a 93% reduction. Similarly, PO4 levels decreased from 94.33 mg/L to 5.18 mg/L, corresponding to a 96% removal rate. These findings indicate that the combination of PAC coagulation and activated carbon adsorption is a highly effective treatment method for reducing pollution in laundry wastewater. This hybrid approach meets environmental discharge standards and presents a sustainable solution for large-scale wastewater treatment applications.
Artificial Intelligence in Integrated Marine Observing Systems: A Comprehensive Review Soni Adiyono; Muhammad Arifin; Noor Latifah; Eko Darmanto
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4754

Abstract

The marine ecosystem is vital for sustaining life on Earth, yet its vastness and complexity present significant challenges for effective monitoring and management. Integrated Marine Observing Systems (IMOS) have emerged as essential tools for understanding and protecting marine environments. This study aims to systematically review the integration of artificial intelligence (AI) into IMOS, focusing on its contributions to data processing, biodiversity monitoring, and environmental change analysis. A systematic literature review (SLR) method is employed to analyze existing research and identify key AI techniques and their applications in marine and oceanographic studies. Results indicate that deep learning is the most widely used AI method, with marine research being the primary application domain. Other areas, such as environmental monitoring and industrial systems, also demonstrate considerable potential. However, data inconsistency, operational limitations, and the lack of standardized frameworks remain significant barriers. This review highlights the transformative role of AI in enhancing IMOS capabilities and provides recommendations for addressing existing challenges to support sustainable marine management.
Blue Economy: Framework for Integrating Economic Growth with Marine Ecosystem Ram Priye Kumar Sahu; Raviteja Doppalapudi
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4758

Abstract

The Blue Economy is an economic framework that integrates economic growth with marine ecosystem sustainability, acknowledging the oceans as vital to global development. The concept gained prominence at the Rio+20 United Nations Conference on Sustainable Development in 2012, emphasizing the need for a sustainable ocean-based economy that balances economic opportunities with environmental conservation and social equity. It encompasses a wide range of sectors, including fisheries, aquaculture, maritime transport, marine biotechnology, renewable energy, and coastal tourism, all of which play a crucial role in global trade, food security, and employment generation. The objective of this paper is to examine the evolution, components, opportunities, and challenges of the Blue Economy while identifying pathways for its sustainable development. The study follows a qualitative approach by analysing existing literature, global policy frameworks, and case studies to evaluate the effectiveness of different ocean-based economic models. Findings indicate that while the Blue Economy presents immense potential for economic growth and employment, it faces several critical challenges, such as overfishing, habitat destruction, climate change impacts, and governance issues. The exploitation of non-living marine resources, such as deep-sea mining and offshore oil and gas extraction, also raises concerns about long-term ecological sustainability. To overcome these challenges, the paper highlights the importance of strong governance frameworks, investment in marine research and technology, and the development of policies that promote sustainable resource management. The role of marine protected areas, sustainable fishing practices, and advancements in renewable ocean energy is emphasized as key strategies for balancing economic benefits with environmental conservation. The private sector, in collaboration with governments and international organizations, must play a central role in driving sustainable investments and innovations. Ultimately, the Blue Economy has the potential to support long-term economic development while preserving marine biodiversity and improving the livelihoods of coastal communities. By adopting sustainable practices, enforcing regulations, and investing in science and data-driven decision-making, nations can harness ocean resources responsibly. This paper underscores the need for an integrated approach that aligns economic growth with environmental stewardship, ensuring that the benefits of ocean-based industries are equitably shared while safeguarding marine ecosystems for future generations.
Deep Learning for Tidal Flood Prediction in West Pandeglang Waters, Banten Nevin Adel Ramaputra; Asep Sandra Budiman; Willdan Aprizal Arifin
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4759

Abstract

Tidal flooding poses a significant threat to coastal areas, exacerbated by rising sea levels. In West Pandeglang Waters, Banten, frequent tidal floods impact communities, necessitating accurate prediction models for effective disaster mitigation. This study aims to develop a deep learning-based tidal flood prediction model using Keras and TensorFlow. The model incorporates oceanic and atmospheric variables, including sea surface height, wave characteristics, wind components, and precipitation data from 2003 to 2023. To address data imbalance, Synthetic Minority Over-sampling Technique (SMOTE) and MinMax scaling were applied, ensuring balanced class distribution. The model was trained and evaluated using a dataset comprising 11,808 samples, achieving an accuracy of 86% and an area under the curve (AUC) of 0.93. These results indicate a strong capability to differentiate between flood and non-flood conditions. The study demonstrates the effectiveness of deep learning in predicting tidal floods, providing valuable insights for early warning systems and coastal management in flood-prone regions.
Effectiveness of Mechanical and Chemical Filter Application on Water Quality, Phytoplankton, and The Emergence of Vibrio Bacteria in Intensive Shrimp Pond Indra Febriantoro; Mohammad Fadjar; Maftuch
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4760

Abstract

The aquaculture sector plays a crucial role in Indonesia's fisheries industry, especially with the rapid growth of Litopenaeus vannamei shrimp farming. However, intensive aquaculture systems face significant challenges, such as decreased water quality and increased Vibrio bacterial infections, which have the potential to cause diseases with high mortality rates. This study aimed to evaluate the effectiveness of mechanical and chemical filtration systems in improving pond water quality, maintaining phytoplankton balance, and suppressing pathogenic bacterial populations. This study was conducted for 30 days using a randomized group design (RAK) with three treatments, namely ponds without filtration (K), ponds with mechanical filtration (FF), and ponds with chemical filtration (FK). The results showed that chemical filtration was more effective in reducing total organic matter (TOM) and reducing Vibrio density to 1,740-1,880 CFU/mL. Meanwhile, mechanical filtration was more optimal in increasing the phytoplankton population to reach 123,000 ind/m³. The application of the filtration system was also shown to increase dissolved oxygen (DO) levels and reduce total suspended solids (TSS), thus creating more stable water conditions for shrimp. The results of this study indicate that the implementation of an appropriate filtration system can be a strategic solution in supporting the sustainability of the L. vannamei aquaculture industry in Indonesia.
Actors in Preservation Local Wisdom: Mangure Lawik for Sustaining Marine Resources Dwi Agustiani Sihombing; Zulkarnain Umar; Tirta Anugerah; Shofian Nanda Adiprayoga; Toga Mahaji
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4761

Abstract

Mangure Lawik is a maritime hospitality activity developed by the ancestors of the Sibolga community and has been passed down continuously from one generation to the next. However, some people in Sibolga have experienced changes following the wave of modernization and have begun to abandon their customs. This paper aims to examine the history of Mangure Lawik, analyze the roles, interests, and influences of each stakeholder, and see the impact of this tradition on marine resources using ethnographic methods assisted by Stakeholder Analysis, it was concluded that the history of Mangure Lawik is divided into three periods (early, middle & present). This study also shows that there are 17 stakeholders consisting of 5 main stakeholders, 6 primary stakeholders, and 6 secondary stakeholders. The role of stakeholders is divided into four categories, namely: Policy Makers, Coordinators, Facilitators, and Implementers, where each stakeholder has carried it out well so that the Mangure Lawik tradition can continue. In its implementation, Mangure Lawik impacts the diversity of coastal and marine resources, because it indirectly invites the community to manage and protect coastal and marine resources, maintain the balance of aquatic ecosystems, and prevent coastal environmental pollution.
Granulator Performance for Urea Granule Quality: A Study on Material Balance and Recycle Seed Ratio Jefri Pandu Hidayat; Muhammad Azi Kusuma; Nita Ariestiana Putri; Asful Hariyadi
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4762

Abstract

Granulation is a critical process in quality of urea fertilizer, particularly their size distribution, significantly affects the product's performance and marketability. Urea synthesis begins with the reaction between ammonia and carbon dioxide, where ammonium carbamate is decomposed to produce urea by granulation process. This research aims evaluate the performance of granulator on urea granule size product quality based on material balance and recycle seed ratio (RSR). The granulator performance in the urea granulation process was evaluated for a production capacity of 3,500 tons/day. The methodology involves data collection from operational records in six days respectively, followed by mass balance analysis and product quality evaluation based on particle size distribution. The analysis revealed a significant deviation between design and actual data. Specifically, the design mass balance indicated a total inlet of 236,726 kg/h and a total outlet of 230,575 kg/h, resulting in a mass deficit of 6,151 kg/h attributed to dust formation and water evaporation. The measured on-size product yield was approximately 98.50% at the outlet, with the desired particle size range of 2–4.75 mm. These findings provide critical insights for process optimization and resource management in urea granulation, emphasizing the need for precise operational control to minimize material losses and ensure product quality compliance with specifications.
Mathematical Modelling of Longitudinal Vibration on Propulsion System 5200 DWT General Cargo Ship Benedicta Dian Alfanda; Adi Wirawan Husodo; Intan Rahmahwati; Febry Yulistiawan
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4763

Abstract

The vibration level of the propulsion system will change during its operation. This vibration is caused by harmonic excitation forces produced by the rotation of the main engine and propeller shaft. Ship propulsion systems experience longitudinal, torsional and lateral vibrations. Excessive vibration will produce noise and reduce engine performance. Vibrations can also cause resonance in the system, which can be fatal and damage the structure. The excitation frequency value is close to or equal to the natural system frequency, which causes resonance. This paper has identified the vibration response of the propulsion system by using numerical software through mathematical modelling governed by ABS. In addition, the total vibration response was obtained using the modal analysis method by summing up the contributions of each mode. The excitation source generated is due to the rotation of the main engine. Ultimately, the response obtained will be adjusted to the standard class. The modelling results obtained a 3-Degree-of-Freedom forced vibration model consisting of three masses and three springs. The resulting response values are displacement and velocity, where the highest response occurs at 347 rpm with a deviation of ±0.1345 mm to ±0.3371 mm and a velocity value of ±4.8847 mm/s to ±12.2424 mm/s. The slightest response occurs at 459 rpm with a deviation range of ±0.0034 mm to ±0.0050 mm and velocity values of ±0.1634 mm/s to ±0.2382 mm/s. Based on all the results of adjusting the vibration response value with the ABS class vibration limit graph, the vibration is still below the permissible threshold line.
Phylogeographic Study of Betutu Fish (Oxyeleotris marmorata) Interpreted Using DNA Barcodes in Three Rivers in East Java Region, Indonesia Dio Aulia Widiansyah; Mohammad Fadjar; Umi Zakiyah
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4764

Abstract

Betutu (Oxyeleotris marmorata) is a freshwater fish of high economic value widely consumed in Southeast Asia. Overfishing in nature has resulted in a decline in population and genetic diversity. Genetic diversity is an important factor in the long-term survival of O. marmorata populations. This study aimed to analyze the genetic diversity and phylogenetic relationships of O. marmorata in three rivers in East Java (Bengawan Solo River, Kali Tengah River, and Bondoyudo River) using a DNA barcoding approach. Twenty-two fish specimens were collected, identified, and analyzed using PCR and DNA sequencing. The results showed that O. marmorata from the three locations had a low level of genetic variation, with genetic distance differences between 0.00-0.02. Phylogenetic analysis showed that specimens from East Java were closely related to populations from Thailand and Australia. This study emphasizes the importance of genetic conservation and population management with the development of hatcheries to reduce dependence on natural catch.
How To Measure Knocking Intensity In Dual-Fuel Internal Combustion Engines : A Review Dany Santoso
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4765

Abstract

Internal combustion engines (ICE), especially diesel engines, require additional (secondary) fuel to improve their gas emissions. The selection of hydrogen as a secondary fuel in a diesel dual fuel (DDF) system is meaningful because it does not contain carbon to support exhaust gas decarbonization. Hydrogen also has a high calorific value, which can be a threat of knocking in the engine during operation. Early detection of knocking can prevent further damage to the piston and cylinder. Experts apply pressure and frequency calculations to measure the intensity of knocking. The results obtained in a homogeneous charge compression ignition (HCCI) engine were that slight knocking occurred at a hydrogen-air ratio above 0.3, and heavy knocking rose at a hydrogen-air ratio of 0.45.

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