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All Journal Omni-Akuatika Jurnal Teknik Mesin Indonesia Majalah Ilmiah Gema Maritim Maritime Park: Journal Of Maritime Technology and Socienty
Riadi, Achmad
Department Of Mechanical Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Dwelling Time Analysis Using Dynamic System Model in the Implementation of National Logistics Ecosystem at Port Jakarta International Container Terminal Ridho Hans Gurning; Achmad Riadi
Journal Omni-Akuatika Vol 18 (2022): Omni-Akuatika Special Issue 4th Kripik SCiFiMaS
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2022.18.S1.973

Abstract

Efficient dwelling time loading and unloading at the port has been widely done. Behind this research was carried out the implementation of the National Logistics Ecosystem (NLE) by using a dynamic system to reduce dwelling loading and unloading time at the Port of Jakarta International Container Terminal. The purpose of research were to find out the development of dynamic system models and the impact of NLE implementation in reducing dwelling time. This research method used dynamic system models and validation tests with behavior pattern tests. The validation results of the dynamic system model were obtained dwelling time between 2.79 - 4.56 days, mean error by 3% and standard deviation error by 11% and the implementation of NLE caused a decrease in dwelling time between 0.96 - 2.30 days, resulting in a decrease in dwelling time by 70%. The results of simulated container flows between 120,909 - 195,212 containers, mean error by 0% and standard deviation error by 19% with the application of NLE container flows between 132,952 - 200,077 containers. The results of the simulation of unloading quantity of 67,295 – 103,342 TEU's, mean error by 1% and standard deviation error by 24% with the application of NLE between 86,169 – 108,032 TEU's, average – average of 96,712 TEU's / month, there was an increase in the quantity of unloading by 130 TEU's / month. The implementation of NLE can be applied to port operationsKeywords: Dwelling Time, Port, National Logistic Ecosystem, Dynamic System Model 
Bonded logistics center and its impact on national automotive manufacturing industry Achmad Riadi; Sunaryo
Jurnal Teknik Mesin Indonesia Vol. 18 No. 1 (2023): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v18i1.416

Abstract

Pusat Logistik Berikat (PLB) or Bonded Logistics Center has been listed as a part of the Indonesia Economy Policy Volume II under the government of President Joko Widodo, as regulated in Government Regulation (PP) Number 85 Year 2015. PLB operations are expected to make national logistics activities more efficient, increase the availability of goods/raw materials needed by industries, increase local/foreign investment, and assist in the development of Indonesia as a logistics hub in the Asia Pacific region. The existence of PLB for automotive manufacturing industry is believed to have a special impact both in supporting the availability of automotive components and in increasing the competitiveness of exports of national automotive products. Especially with the regulation stipulated in Presidential Regulation Number 55 Year 2019, concerning the acceleration of the battery-based electric motor vehicle program. This paper aims to provide an analysis of the existence of PLB and its impact on national automotive manufacturing industry. The study was conducted by applying a dynamic system simulation to test the hypothesis of the PLB impact. Simulation model is a dynamic system approach using the Vensim®PLE8.0.4 program. The simulation results show the efficiency that can be obtained with the PLB. The ease of customs facilities obtained from PLB as well as the reduction in custom clearance time have a significant positive impact on the national automotive manufacturing 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 Budiyanto, Muhammad Arif Muzhoffar, Dimas Angga Fakhri Ridho Hans Gurning Santoso, Muhammad Agung Sunaryo Tumenggung, Teddy