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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 515 Documents
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Transforming Tofu Waste into a Growth Medium: Boosting Biomass and Proximate Content of Microalgae Putri, Nita Ariestiana; Dewi, Resti Nurmala; Yuniar, Rizka Ayu; Mauliasantri, Ranti Amanda
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.22009

Abstract

This study explores the potential of tofu waste as a cost-effective alternative growth medium for cultivating Spirulina sp. and Nannochloropsis oculata, addressing the high costs of traditional nutrient media that limit large-scale applications. Despite the nutrient richness of tofu waste, its use as a sustainable growth substrate remains underexplored. This research aims to fill this gap by evaluating the growth performance and nutritional suitability of these microalgae in tofu-based media compared to standard controls. The cultivation process was conducted in a closed photobioreactor system, with harvesting methods including flocculation, centrifugation, and filtration. Results showed that tofu waste media supported biomass production comparable to standard cultivation media, with the highest biomass concentrations recorded at the 20% tofu waste treatment, yielding 0.23 ± 0.05 g L-1 for Spirulina sp. and 0.53 ± 0.2 g L-1 for Nannochloropsis oculata. At this concentration, the final COD levels were 840.84 mg L-1and 825.90 mg L-1, respectively. The lipid and protein contents were 2.44% and 1.71% for Spirulina sp., and 1.21% and 1.50% for Nannochloropsis oculata, respectively. These findings demonstrate that tofu waste can serve as an effective and low-cost growth substrate for Spirulina sp. and Nannochloropsis oculata, promoting circular economy principles within many sectors such as energy, food, and agriculture. This study underscores the potential of waste utilization to enhance the sustainability and economic viability of microalgae cultivation.
The Determining Success of Polyculture Caulerpa sp and Litopenaeus vannamei using AHP Analysis Andhini, Nadia; Muna, Zakyatul; Fazri, Kurniawan; Khobir, Muhammad Latiful; Fuah, Ricky Winrison; Akbar, Muhammad Wahyu; Achiar, Anshari Luthfi Maulana
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.20552

Abstract

The Polyculture Caulerpa sp and Litopenaeus vannamei can reduce the risk of ecological impacts, increase shrimp growth, survival, production, increase shrimp resistance to disease, and maintain optimal water quality. Analytical Hierarchy Process (AHP) begins by determining the priority between water quality, growth rate, and harvest yields as more optimal parameters for the success of a polyculture. The measure of success is determined based on the results of expert assessments of polyculture and cultivation that produce more optimal water quality (temperature, pH, brightness, salinity, and dissolved oxygen), growth rates, and harvest yields. The results of the overall AHP analysis, which determined the success of Caulerpa sp and Litopenaeus vannamei polyculture based on expert assessments, showed a good level of consistency. The results show that water quality is a priority parameter in the success of Caulerpa sp and Litopenaeus vannamei polyculture with a weight of 0.597, followed by a growth rate of 0.297 and a harvest yield of 0.106. The analysis of priority water quality indicators for the success of polyculture is dissolved oxygen with a weight of 0.514, followed by pH of 0.246, salinity of 0.119, temperature of 0.079, and brightness of 0.042. Based on the results of experts of the combined weight comparison, polyculture is more optimal than cultivation, with a considerable comparison weight of 0.678 and 0.322, measuring the success of Caulerpa sp and Litopenaeus vannamei polyculture.
Application of Time Cost Trade Off Method in Optimizing Time and Cost on Ship Refurbishment Projects KMP Dharma Rucitra 1 and MT Triaksa 17 Mulyatno, Imam Pujo; Humaida, Hani Nizwa; Amiruddin, Wilma; Adietya, Berlian Arswendo; Yudo, Hartono
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.21830

Abstract

Delays that occur in the KMP Dharma Rucitra 1 ship refurbishment project have an impact on the MT Trikasa 17 ship refurbishment project, so that the project work must be accelerated in order not to exceed the contract. This study aims to overcome the delays that occur by finding the most optimal time acceleration value and the minimum cost. The time cost trade off method is often used in scheduling the repair of two or more ship units simultaneously to optimize project time and cost, so this method is considered to be able to overcome the problems that occur. Based on the repair list and main schedule data, the critical trajectory and productivity values of each job were obtained. The work on the critical trajectory was treated with variations of additional working hours (overtime) and variations of additional workers. The analysis shows that the addition of working hours (overtime) provides effective results, namely the addition of 1 working hour (overtime) with a reduction in time by 12.5% and a cost of Rp. 253,236,000 (4.35% increase). While the addition of labor provides effective results, namely the addition of 4 workers with a 25% reduction in time and costs of Rp. 245,140,000 (0.78% increase). Based on the two effective results, the most efficient result to overcome the delays that occur is the addition of 4 workers.
The Impact of Span Width and Outrigger Shape on Fishing Boats at Palabuhanratu Fishing Port, Indonesia Malik, Fikri Rizky; Novita, Yopi; Iskandar, Budhi Hascaryo; Puspito, Gondo; Sukoraharjo, Sri Suryo
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.21970

Abstract

Outrigger boats are prevalent in Indonesian waters. In Indonesia, the majority of Outrigger boats have a gross tonnage of less than 7 GT, resulting in their classification as "boats." After being hit by waves, the outrigger serves as a balancing mechanism on the boat, ensuring that it does not capsize and that it continues to keep its stability. In spite of the fact that they have a number of benefits, outrigger boats also have a number of drawbacks. One of these drawbacks is that they need a mooring space that is sufficiently large to anchor the boat at the beach or pier. This research was carried out through the use of experimental methodologies. The stability value is a reference to the design parameters established by IMO A.749 (18), which are applicable to all boats. Type 2 boats have a maximum GZ value that is greater than that of type 1 boats. According to the findings of the study, the utilization of the Palabuhanratu pool was increased by 33% on model B boats and by 52% on boat C when the outrigger boom was pulled while the boat was in the port pool. This was in comparison to the original value when the boat was anchored without pulling the outrigger boom.
Preliminary Study on Willingness to Pay for Adaptive Management in Komodo National Park: A Contingent Valuation Approach Dendra, Syahda Hati; Sianipar, Imelda Juniaty; Rahman, Ari; Sofiyah, Evi Siti; Suhardono, Sapta; Suryawan, I Wayan Koko
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.21546

Abstract

Komodo National Park (KNP), a UNESCO World Heritage Site, faces significant environmental challenges due to increasing tourism, climate change, and resource management issues. This preliminary study employs the Contingent Valuation Method (CVM) to estimate visitors' willingness to pay (WTP) for adaptive management initiatives aimed at preserving the park's unique biodiversity and ecological health. Conducted in Labuan Bajo, the main gateway to KNP, the study involved 50 respondents who were surveyed on their WTP for improved environmental quality and management. The binary logistic regression analysis revealed that higher income levels and gender significantly influence WTP, with higher income individuals and males being more likely to contribute financially. Marital status showed a negative association with WTP, suggesting that married individuals may have financial constraints. The study highlights the importance of understanding sociodemographic factors to design effective funding strategies for conservation. The findings underscore the need for targeted communication and engagement strategies to increase financial support for adaptive management. These insights will inform policy and management strategies to ensure the long-term sustainability of KNP.
Analysis Of The Use HSD, MDO And B-30 On Passenger Ships 2000 GT Oloan, Aldyn Clinton Partahi; Muslim, Muswar; Buwono, Ayom; Febrian, Shahrin
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.22169

Abstract

The ship being analyzed is a Ferry ro-ro 2000 GT sailing from Bali to Lombok via the Lombok Strait crossing route with a distance of 38 nautical miles. Identification of the use of diesel fuel for ship operations is important for ferry vessels, especially in connection with efforts to efficiently use of diesel fuel in ship operations. In solving problems, efficiency analysis is completed by applying technical analytical, correlational-predictive, and comparative methods. The technical analytical method is specifically used to calculate engine characteristics in fuel use, and the correlational-predictive method is used as an approach method to the phenomenon of the relationship between engine characteristics in the use of different fuels in ship operations, in contrast, the comparative method approach will be used to provide a detailed illustration. More complete in a case study of the use of diesel as fuel for the operational main engine of a ferry ship.
Comprehensive Calculation of Vanadium Redox Flow Battery Capacity For 5kW Lighting Applications Marahaini, Nadilah Laksmi; Pamuji, Feby Agung; Budiharto Putri, Vita Lystaningrum
International Journal of Marine Engineering Innovation and Research Vol 9, No 4 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i4.22160

Abstract

Vanadium Redox Flow Batteries (VRFB) have emerged as a potential solution for renewable energy storage due to their scalability and long lifetime. However, optimizing their operational efficiency and addressing the issue of parameter accuracy for the right load pose significant challenges. This paper aims to quantify the critical parameters of VRFBs and analyze their performance in powering the system under various flow rate operating conditions. Simulations are performed using MATLAB software and unit blocks to evaluate the behavior of VRFBs during discharge and charge conditions at three electrolyte flow rates: 10, 5, and 1 liter per minute (lpm). The analysis focuses on key parameters, including operating duration, charge/discharge time, and state of charge. The results show that higher flow rates increase the discharge duration, while lower flow rates lead to shorter operating times and more pronounced ripples caused by pump control instability and electrolyte density variations. Therefore, designing appropriate parameters in VRFB systems is critical to developing sustainable energy storage solutions and supporting the implementation of clean energy technologies.
Enhancing Oil Spill Detection and Response: An Overview of Satellite-based Observation Technologies and Their Impact Habibie, Muhammad Iqbal; Arifandri, Robby; Qonita, Zulfa; Kricella, Pronika; Khoirudin, Muhammad Hisyam
International Journal of Marine Engineering Innovation and Research Vol 10, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.22455

Abstract

Oil spills are a major environmental issue that requires prompt detection and effective response strategies. Remote sensing technologies have shown great potential in improving oil spill detection and management. This paper aims to review and compare various remote sensing techniques and models used for oil spill detection and response, with a focus on evaluating their effectiveness in preventing offshore oil spills. The study involves a comprehensive review of recent research on remote sensing methods, such as neural network-based detection, Synthetic Aperture Radar (SAR), and optical sensors, alongside oil spill response techniques. The paper also utilizes the Publish or Perish (PoP) tool to analyze scientific papers related to oil spill detection and response. The PoP tool was employed to examine citation metrics, methodologies, and trends from 187 studies, including 16 focused on remote sensing techniques, 21 on oil spill methods, and 47 on related concerns. Results indicate that neural network-based methods are effective in high-risk areas, while SAR-based detection is recommended for regions with high sea states or cloud cover. The study also finds that a combination of response techniques, such as containment booms and bioremediation, can significantly improve the effectiveness of oil spill management. Moreover, the integration of multi-sensor data and machine learning techniques shows promise in enhancing detection accuracy and reducing false positives. In conclusion, the paper highlights the need for improved sensor technologies and the integration of various detection and response methods to enhance oil spill management efforts. Future research should focus on refining these techniques and developing cost-effective solutions to enable more efficient and timely responses to oil spills.
Sustainable Logistics Through Waterways: Balancing Cost, Efficiency, and Environmental Impact Ma'ruf, Ma'ruf; Aulia, Zahra; Nurpratiwi, Putri Aprilya; Fadhilah, Muhammad Fikri; Prayoga, Dwi Sandinata; Daulay, Inez Arisa
International Journal of Marine Engineering Innovation and Research Vol 10, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.22058

Abstract

The use of various modes of transportation in transporting goods and passengers certainly presents each advantage. However, transporting logistics by land has various negative impacts such as pollution, congestion, and excessive dependence on land transportation [19]. The use of land transportation modes also has an impact on the high cost per kilometer with the same distance traveled. The use of inland waterways as a mode of logistics transportation has increased in recent years especially in Europe and Asia, of course this is driven by the benefits offered. The main objective of this study is to analyze and compare the effectiveness of sustainable logistics using inland waterway modes, especially in the context of cost, operational efficiency, and environmental impact. This research aims to provide an in-depth insight into the potential benefits and challenges faced in implementing an inland waterway-based logistics system. The method used to find data and information is to use the literature study method that discusses the use of inland waterways. From the results of the studies collected and analyzed, it was found that Inland Waterway has many positive impacts and greater benefits when compared to using other transportation routes. In addition, the application of Inland Waterway has succeeded in reducing air pollution levels, reducing shipping costs, and as the most environmentally friendly branch of water transportation.
Deep Learning for Tidal Flood Prediction in West Pandeglang Waters, Banten Ramaputra, Nevin Adel; Budiman, Asep Sandra; Arifin, Willdan Aprizal
International Journal of Marine Engineering Innovation and Research Vol 10, No 1 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.22615

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.

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