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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan International Journal of Marine Engineering Innovation and Research
Gunawan Gunawan
Department Of Mechanical Engineering, Faculty Of Engineering, University Of Indonesia
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Selection Of The Best Ship Route For Container Shipping Optimization Models Using Heuristic Algorithms Jon Mangatas Budiarto Sirait; Gunawan Gunawan; Allessandro Setyo Anggito Utomo
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 20, No 2 (2023): June
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v20i2.51642

Abstract

The role of ships is very important for the world economy as a means of transporting goods both between countries and between islands. The selection of ship routes is very crucial in efforts to optimize fuel costs. Application of optimization, Genetic Algorithm and Ant Colony to solve the Asymetric Traveling Salesman Problem (ATSP) model with the minimum fuel cost objective function. This study aims to determine shipping routes for initial/final destinations with lower fuel costs. The results of research on the best route for container ships develop a Traveling Salesman Problem model for decision making for the design of maritime logistics networks with optimum operational costs. The Ant Colony algorithm provides 8 routes with lower fuel costs than the genetic algorithm and the genetic algorithm provides 2 routes with lower costs than the Ant Colony algorithm. This proves that the Ant Colony algorithm is more effective in determining ship routes with the lowest fuel costs.
Systematic Analysis of Potential Marine Renewable Energy for Coastal Ecological Balance on Bawean Island: A Review Sari, Wanda Rulita; Gunawan, Gunawan; Surjosatyo, Adi; Muzhoffar, Dimas Angga Fakhri
International Journal of Marine Engineering Innovation and Research Vol 9, No 2 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i2.20298

Abstract

Bawean Island displays significant natural potential with abundant natural resources and natural beauty that is attractive for tourism and industrial development. However, this potential is threatened by various environmental and socio-economic problems such as limited availability of clean water, erosion of coastal structures, accumulation of rubbish, economic challenges, and low levels of community education. To overcome these challenges, an integrated and sustainable approach is needed that involves the government, community, and other related parties in sustainable natural resource management and considers ecological, economic, and social aspects. Systematic analysis is carried out to understand the potential of coastal natural resources and the problems that threaten the ecosystem. An integrated and sustainable approach is needed, involving collaboration between government, society, and related parties. The integration of new technologies, including renewable energy technologies, was identified as a potential solution to several specific problems, such as waste management and clean water supply. An integrated and sustainable approach is analyzed by involving collaboration between government, society, and related parties. With collaboration and a deep understanding of the challenges and potential of Bawean Island, it is hoped that a sustainable coastal ecological balance can be achieved for the welfare of the environment and local communities.
Multi-Objective Optimization for Topological Shipyard Facility Layout using NSGA-II Pambudi, Ghulam Tulus; Gunawan, Gunawan; Muzhoffar, Dimas Angga Fakhri; Sari, Wanda Rulita
International Journal of Marine Engineering Innovation and Research Vol 9, No 3 (2024)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v9i3.21084

Abstract

The increasing complexity in ship construction due to larger vessel sizes has placed significant pressure on the shipbuilding industry to enhance efficiency and reduce costs. This paper focuses on optimizing shipyard facility layouts by minimizing material handling costs (MHC) and area costs (AC) using a topological approach for unequal areas. The objective is to develop a layout that reduces these costs while addressing gaps in previous research, which often assumed uniform department sizes. The proposed method employs the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), a heuristic algorithm designed for multi-objective optimization. Unlike previous models, this approach allows for variability in department sizes, aligning more closely with real-world conditions. The layout optimization is conducted by considering adjacency and non-adjacency constraints, ensuring an effective arrangement of shipyard departments. The results demonstrate that the proposed method significantly reduces both MHC and AC, leading to a more efficient and cost-effective shipyard layout. The dual-objective approach not only narrows the gap between topological and geometric models but also optimizes space utilization within the shipyard, making it a practical solution for modern shipbuilding challenges.
Co-Authors Adi Surjosatyo Allessandro Setyo Anggito Utomo Jon Mangatas Budiarto Sirait Muzhoffar, Dimas Angga Fakhri Muzhoffar, Dimas Angga Fakhri Pambudi, Ghulam Tulus Sari, Wanda Rulita Sari, Wanda Rulita