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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan R.E.M (Rekyasa Energi Manufaktur) Jurnal Jurnal Sains Teknologi Transportasi Maritim Majalah Ilmiah Gema Maritim Maritime Park: Journal Of Maritime Technology and Socienty
Muzhoffar, Dimas Angga Fakhri
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Comparative Analysis of Liquefied Natural Gas (LNG) Distribution Scheme using Milk-Run and Hub-Spoke Methods on Small-Scale LNG Carrier in Eastern Indonesia Muzhoffar, Dimas Angga Fakhri; Auzani, Ahmad Syihan; Altaf, Ahmad Nur; Putra, Aleg Restu Pridana; Wahyono, Condro Baskoro Jati
Nama Jurnal Akmi Vol 6 No 1 (2024): Jurnal Sitektransmar Mei 2024
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v6i1.85

Abstract

Liquefied Natural Gas (LNG) has been seen as a promising alternative in the face of these challenges. However, attention remains focused on the efficiency of LNG distribution, especially in the face of unpredictable demand fluctuations. Currently, with demands for increasing distribution efficiency, Indonesia, one of the largest LNG producers in Southeast Asia, faces a particular challenge in achieving efficiency in meeting domestic energy needs. To address the problem, the Indonesian government has initiated a program to streamline energy infrastructure development, focusing on LNG distribution in Eastern Indonesia. The study will use two distribution schemes, Milk-Run and Hub-Spoke, with different types of ship capacity to calculate operating costs. This study focuses on comparing the effectiveness of the two popular distribution schemes, the Milk-Run and the Hub-Spoke, especially in optimizing LNG distribution in the area. The data in this study was obtained from institutions that openly publish data in a digital system. The findings suggest that the Milk-Run distribution scheme was identified as an optimal solution for LNG delivery to multiple points from a single source for Northern and Southern Papua. The results of this study are expected to provide practical guidance to the parties concerned in their efforts to improve the efficiency of LNG distribution in eastern Indonesia and further study in other regions of Indonesia.
Return On Investment Of An Open Loop Wet Scrubber On A Dry Bulk Carrier Muzhoffar, Dimas Angga Fakhri; Prasetio, Mathias Bimo; Santoso, Muhammad Agung; Nugraha, Muhammad Irfan Septian; Jamil, Muhamad Sabran
Nama Jurnal Akmi Vol 6 No 2 (2024): Jurnal Sitektransmar November 2024
Publisher : LPPM AKMI SUAKA BAHARI CIREBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51578/j.sitektransmar.v6i2.97

Abstract

With the increasing global focus on emission reduction in the maritime industry, this study evaluates the decision to implement an Open Loop Wet Scrubber system on a 50,000 DWT Bulk Carrier. The primary objectives of this research are to assess the role of scrubbers in supporting operational efficiency and compliance with MARPOL Annex VI regulations, to determine the optimal timing for scrubber installation to minimize financial risks before ship retirement and to compare the economic efficiency of using scrubbers with high sulfur fuel oil (HSFO) against using low sulfur fuel oil (LSFO) without scrubbers. Through operational simulations on coastal and ocean-going routes, the analysis identifies potential savings, calculates return on investment (ROI), and determines the break-even point (BEP). The results indicate that the installation of an Open Loop Wet Scrubber offers significant long-term savings, with the payback period varying based on route selection and fuel strategy. This research provides critical insights for shipping companies seeking to enhance their competitiveness by balancing compliance with environmental regulations and operational efficiency.
Effect of Co-firing Using Biomass Variation to Maintain Biomass Feedstock in Coal-Fired Power Plants: Pengaruh Cofiring Menggunakan Variasi Biomassa untuk Menjaga Feedstock Biomassa di Pembangkit Listrik Tenaga Uap Batubara Muzhoffar, Dimas Angga Fakhri; Gultom, Enrico; Prasetyo, Ervan Ari
R.E.M. (Rekayasa Energi Manufaktur) Jurnal Vol 9 No 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/r.e.m.v9i2.1727

Abstract

Pembakaran bahan bakar batubara pada pembangkit listrik secara signifikan menyumbang emisi karbon dioksida (CO2), yang berperan dalam pemanasan global dan perubahan iklim. Metode co-firing digunakan di Pembangkit Listrik Tenaga Uap (PLTU) sebagai strategi untuk mengurangi ketergantungan pada batubara sebagai sumber energi utama. Masih diperlukan identifikasi lebih lanjut mengenai potensi penerapan co-firing biomassa dalam skala yang lebih luas dan untuk jangka waktu yang lebih panjang. Penelitian ini bertujuan untuk mengevaluasi berbagai jenis biomassa sebagai bahan bakar co-firing dari segi performance, emisi, dan biaya dengan cara uji laboratorium dan uji bakar langsung. Biomassa yang dipakai adalah sawdust, sekam padi, cocopeat, dan Bahan Bakar Jumputan Padat (BBJP). Hasil dari pengujian didapatkan bahwa seluruh biomassa yang diuji masih aman pada segi performance, serta menurunkan emisi gas buang, dan menghemat Biaya Pokok Produksi (BPP) Emissions of carbon dioxide (CO2) resulting from the burning of coal fuel in power plants are a major contributor to global warming and climate change. Co-firing is employed in Coal-Fired Power Plants (CFPP) as a precautionary measure to decrease reliance on coal as the predominant energy source. The possible deployment of biomass co-firing on a bigger scale and for the long term still requires more identification. Through laboratory testing and direct combustion tests, this project intends to assess the performance, emissions, and costs of several types of biomass as co-firing fuel. Seedust, rice husks, cocopeat, and Solid Refuse Fuel (SRF) are among the biomass materials used. All biomass kinds evaluated were found to be safe in terms of performance, reduce exhaust gas emissions, and lower Basic Production Costs (BPP), according to the test report.
A Review of Systematic Methodologies for Shipyard Facility Layout Design Pambudi, Ghulam Tulus; Gunawan, Gunawan; Muzhoffar, Dimas Angga Fakhri; Sari, Wanda Rulita
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 22, No 1 (2025): February
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v22i1.64694

Abstract

The dynamic and complex nature of the shipbuilding industry necessitates efficient facility layout planning to optimize operational efficiency and minimize costs. Traditional layout design approaches, often based on practical experience, fall short of achieving optimal results. This paper reviews three advanced methodologies for shipyard facility layout design: heuristic algorithms, Systematic Layout Planning (SLP), and graph theory. Heuristic algorithms, including genetic algorithms and simulated annealing, offer flexible and rapid solutions but may not always achieve global optimization. SLP provides a structured and methodical approach, ideal for stable environments, yet lacks flexibility in dynamic settings. Graph theory enhances the layout design process by optimizing spatial relationships between facilities through weighted planar graphs. The study highlights the strengths and limitations of each method, with a focus on their impact on material handling costs and overall layout efficiency. Among these, the combination of Genetic Algorithms (GA) and Stochastic Growth Algorithms (SGA) stands out, demonstrating significant reductions in material handling costs, up to 23.1%. The review concludes that while each methodology has its merits, the integration of GA and SGA offers the most robust solution for optimizing shipyard layouts, particularly in complex and large-scale environments. Future research should explore hybrid models that combine these methodologies, incorporating advanced computational techniques and real-time data analytics to create more dynamic and adaptable layout solutions, addressing the evolving needs of the shipbuilding industry.
Kebutuhan Kapal Pengangkut Gas Alam Cair (LNG) dalam Proyeksi Perdagangan LNG Antarnegara Muzhoffar, Dimas Angga Fakhri; Riadi, Achmad
Majalah Ilmiah Gema Maritim Vol 26 No 1 (2024): Gema Maritim Vol 26 No 1 Bulan Maret 2024
Publisher : Politeknik Bumi Akpelni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37612/gema-maritim.v26i1.428

Abstract

The impact of global economic growth is reflected in commodity price fluctuations and the intensive transportation needs, particularly for LNG. The Sustainable Development Goals focus on carbon emissions until 2050 drives an increase in the demand for LNG as a clean energy source. In the context of international trade, LNG carriers through maritime routes serve as the primary means for export and import, fulfilling the need for efficient transportation. Additionally, the construction process of LNG vessels takes a considerable amount of time, with ships being ordered based on global LNG transactions. Therefore, precise estimates are crucial to support economic benefits. Through the projection of LNG trade volumes, this research aims to provide insights into the potential demand for LNG carriers. Predictions using linear regression analysis for each route indicate the potential for capacity increases up to 134% by 2042. Such conditions are in line with the projected LNG supply, expected to continuously rise until 2040 to meet the demand in both industrial and electricity sectors. These results are projected for each type of LNG carrier, where Conventional vessels are anticipated to increase significantly by up to 599 new ships. Specifically, this study offers an in-depth perspective on the dynamics of global LNG trade and potential projections of future ship requirements, opening opportunities for facility development and business process modifications in the context of LNG transportation.
Monte Carlo-Based Risk Probability Modeling for Ship Incident Muzhoffar, Dimas Angga Fakhri; Tumenggung, Teddy; Riadi, Achmad; Budiyanto, Muhammad Arif; Santoso, Muhammad Agung
Maritime Park: Journal of Maritime Technology and Society Volume 4, Issue 3, 2025
Publisher : Department of Ocean Engineering, Faculty of Engineering, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62012/mp.vi.46416

Abstract

The shipping industry, a critical component of global logistics, faces persistent operational risks that threaten safety, environmental integrity, and economic stability. Traditional risk assessments, often reliant on descriptive statistics, fail to capture the probabilistic and multifaceted nature of maritime accidents. This study bridges this gap by developing a robust Monte Carlo simulation framework to quantify incident probabilities for a tanker fleet. Utilizing a comprehensive dataset from a shipping company, including incident reports, tanker characteristics, and root causes, the model iteratively samples operational and technical variables up to 50,000 iterations to project risk distributions and identify critical failure pathways. The results demonstrate that risk is highly contextual and not an intrinsic tanker property. The analysis reveals that mid-sized tankers (20,000–35,000 GT) are most susceptible to technical failures like propulsion and auxiliary machinery breakdowns, aligning with their high risk for asset loss and security breaches. Conversely, larger tankers (> 60,000 GT) exhibit systematically lower risk across most categories, which is attributed to advanced safety systems and stricter protocols. A notable exception is environmental risk, where smaller tankers (≤ 5000 GT) pose the lowest threat due to their limited spillage potential. The simulation achieved convergence at 10,000 iterations for personnel injury and security breach incidents, and 5000 for asset loss and environmental impacts, providing a validated threshold for reliable prediction. This study concludes that the Monte Carlo method effectively translates historical data into actionable insights, enabling proactive, precisely timed mitigations tailored to specific tanker profiles and incident types. The findings offer a paradigm shift from reactive to predictive risk management in maritime operations.
Co-Authors Altaf, Ahmad Nur Auzani, Ahmad Syihan Budiyanto, Muhammad Arif Gultom, Enrico Gunawan Gunawan Jamil, Muhamad Sabran Nugraha, Muhammad Irfan Septian Pambudi, Ghulam Tulus Prasetio, Mathias Bimo Prasetyo, Ervan Ari Putra, Aleg Restu Pridana Riadi, Achmad Santoso, Muhammad Agung Sari, Wanda Rulita Tumenggung, Teddy Wahyono, Condro Baskoro Jati