Kajian Bio-ekonomi dan Investasi Optimal Pemanfaatan Sumberdaya Ikan Ekor Kuning di Perairan Kepulauan Seribu

Prihatna Sobar, Moch and Diniah, Diniah and Isnaini, Isnaini Kajian Bio-ekonomi dan Investasi Optimal Pemanfaatan Sumberdaya Ikan Ekor Kuning di Perairan Kepulauan Seribu. Jurnal Mangrove dan Pesisir, 9 (2). pp. 56-66. ISSN 1411-0679

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    Abstract

    the objective of this research was determined the reponsible fisheries of yellow tail resources utilization model and it is optimal investment in Seribu Island water. the research did by survey method and used purposive sampling. data analysis used the bio-economic analysis and approaches the CYP, W-H, Schnute and Fox Algorithm models. investment criteria used the benefit_cost analysis, Muroami Construction consists of tehe long leg, short leg, cod and frightening line. the average of yellow tail actual production in Seibu Islands water appropriate Fox Algorithm and Schnute, with the maximum production equal 917.49 tons per year, and maximum effort equal 1174 and 1219 trips per year. it is calculation at 1997-2006 periods show that the yellow tail resources utilization can be categorized not yet in condition of biological over fishing and economical over fishing. optimal investment of muroami fishing unit for utilize the yellow tail resources exceed Rp39,520,676,683.15 for Fox Algorithm model and Rp 34,347,534,092.91 for Schnuts models. investment criteria show that the Net Present Value (NPV) actual Rp5,648,578,190.36 (Fox Algorithm) and Rp8,937,581,101.50 (Schnute). Net Benefit-cost ratio equal 1.14 (Fox Algorithm) and 1.26 (Schnute), and Internal Rate of Return equal 13.23%-15.76% per year. keyword: Bio-economic, optimal investment. muroami, yellow tail resources, Seribu Island water

    Item Type: Article
    Subjects: Q Science > Q Science (General)
    Divisions: Faculty of Mathematics and Natural Sciences > Department of Marine Sciences
    Depositing User: Isnaini iis isnaini
    Date Deposited: 24 Oct 2013 14:54
    Last Modified: 24 Oct 2013 14:54
    URI: http://eprints.unsri.ac.id/id/eprint/2887

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