| Issue |
BIO Web Conf.
Volume 112, 2024
6th EMBRIO International Symposium: “Ocean for Prosperity: Sustainably Use of the Ocean Resources for Economic Growth, Improvement of Livelihoods, and Preserve its Ocean Ecosystem Health” (EIS 2023)
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|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 11 | |
| Section | Capture Fisheries | |
| DOI | https://doi.org/10.1051/bioconf/202411203002 | |
| Published online | 06 June 2024 | |
Identification of used components of purse seine in Pekalongan City, Central Java, Indonesia
1 Departement of Capture Fisheries, Fisheries and Marine Science Faculty, Diponegoro University, 50275 Semarang, Indonesia
2 Directorate of Fish Resources Management, Directorate General of Capture Fisheries, Ministry of Marine Affairs and Fisheries, Jakarta, Indonesia
3 Department of Aquatic Resource Management, Fisheries and Marine Science Faculty, IPB University, 16680 Bogor, Indonesia
* Corresponding author: trisnanihapsari@live.undip.ac.id
Collecting and trading of used components of purse seine in Pekalongan, Central Java, Indonesia, will minimize the impact from pollution caused by dumped fishing gear. The used components of purse seine will be repaired if possible or resold to the plastic ore factories. This study aimed to identify types and quantities of used components of purse seine in the city. Data was collected in Pekalongan City, Central Java. Data analysis was carried out to determine the type of nets materials, the total sinker of each purse seine component. In general, the used materials can be categorized into nets (webbing) consisting of repairable nets and non-repairable nets, ropes, floats, sinkers, and rings. The types of the materials of components were nylon, sponges and PVC for floats, leads for sinkers, polyethylene for ropes, and stainless steel for rings. The monthly average of the major components (i.e., nets) received by the collectors was 32,162 kg and re-sold by the collectors was 47,271 kg. Different quantities between the nets received and re-sold were due to the stock from the previous month being sold in the next month.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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