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Analyzing the Total Resistance and Wave Pattern of Purse Seine Vessels with Photovoltaic-Powered

Rekayasa · Vol. 22 No. 2 (2024) · hlm. 97–107

DOI
10.15294/rekayasa.v22i2.10634
ISSN
2527-6964, 0216-6631
Terbit
2024-12-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

With 64.97% of its territory consisting of sea, Indonesia is one of the world's largest maritime nations and produces approximately 8.02 million tons of fish annually. Traditional fishing vessels play a crucial role in supporting livelihoods, yet their design is often based on hereditary methods rather than hydrodynamic optimization. This study uses catamaran hull forms as a design reference to analyze the total resistance and wave patterns of purse seine vessels with photovoltaic-powered systems. Computational methods are employed to predict vessel performance efficiently. The resistance analysis applies the Slender Body approach and Savitsky's mathematical model, supported by comparative studies for validation. Particular attention is given to the influence of chine configurations on resistance characteristics and wave formation. Results indicate that the addition of chines increases the Froude number and contributes to reducing total resistance. Among the variations, single chine geometry demonstrates the lowest resistance, making it the most efficient configuration for catamaran fishing vessels. While chine modifications affect the wave pattern, the hull maintains a relatively clean wake distribution. These findings highlight the potential for improving vessel design through careful chine geometry optimization combined with computational modeling. The study underscores the importance of modern hydrodynamic analysis in advancing traditional fishing vessels toward higher efficiency and sustainability. Future research is recommended to incorporate more advanced computational approaches, such as Computational Fluid Dynamics (CFD), examine water-hull interactions and enhance vessel performance under operational conditions.

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/rekayasa/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Analyzing the Total Resistance and Wave Pattern of Purse Seine Vessels with Photovoltaic-Powered</dc:title>
	<dc:creator xml:lang="en">Naryanto, Rizqi Fitri</dc:creator>
	<dc:creator xml:lang="en">Bahatmaka, Aldias</dc:creator>
	<dc:creator xml:lang="en">Wibowo, Muhammad Yusuf</dc:creator>
	<dc:creator xml:lang="en">Ghyferi, Andi Abdullah</dc:creator>
	<dc:creator xml:lang="en">Fahmi, Fiqri Fadillah</dc:creator>
	<dc:creator xml:lang="en">Hyoung Cho, Joung</dc:creator>
	<dc:subject xml:lang="en">catamaran hull</dc:subject>
	<dc:subject xml:lang="en">computational approach</dc:subject>
	<dc:subject xml:lang="en">fishing</dc:subject>
	<dc:subject xml:lang="en">ship design</dc:subject>
	<dc:subject xml:lang="en">transportation</dc:subject>
	<dc:description xml:lang="en">With 64.97% of its territory consisting of sea, Indonesia is one of the world's largest maritime nations and produces approximately 8.02 million tons of fish annually. Traditional fishing vessels play a crucial role in supporting livelihoods, yet their design is often based on hereditary methods rather than hydrodynamic optimization. This study uses catamaran hull forms as a design reference to analyze the total resistance and wave patterns of purse seine vessels with photovoltaic-powered systems. Computational methods are employed to predict vessel performance efficiently. The resistance analysis applies the Slender Body approach and Savitsky's mathematical model, supported by comparative studies for validation. Particular attention is given to the influence of chine configurations on resistance characteristics and wave formation. Results indicate that the addition of chines increases the Froude number and contributes to reducing total resistance. Among the variations, single chine geometry demonstrates the lowest resistance, making it the most efficient configuration for catamaran fishing vessels. While chine modifications affect the wave pattern, the hull maintains a relatively clean wake distribution. These findings highlight the potential for improving vessel design through careful chine geometry optimization combined with computational modeling. The study underscores the importance of modern hydrodynamic analysis in advancing traditional fishing vessels toward higher efficiency and sustainability. Future research is recommended to incorporate more advanced computational approaches, such as Computational Fluid Dynamics (CFD), examine water-hull interactions and enhance vessel performance under operational conditions.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-12-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/rekayasa/article/view/10634</dc:identifier>
	<dc:identifier>10.15294/rekayasa.v22i2.10634</dc:identifier>
	<dc:source xml:lang="en">Rekayasa; Vol. 22 No. 2 (2024); 97-107</dc:source>
	<dc:source>2527-6964</dc:source>
	<dc:source>0216-6631</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/rekayasa/article/view/10634/6084</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Rekayasa</dc:rights>
</oai_dc:dc>