Productivity Analysis of Mini Purse Seine in PPI Pulolampes Brebes, Central Java, Indonesia

Herry Boesono , Dwi Rudy Setiawan , Kukuh Eko Prihantoko , Bogi Budi Jayanto , Andoniana Rakoto Malala
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引用次数: 11

Abstract

Fish Landing Base (PPI) Pulolampes is one of fishing base mini purse seine in Brebes Regency, Central Java Province. Many fishers in Brebes more choosing mini purse seine to fishing than other. The problem is about productivity level of this fishing gear. Therefore, the purpose of this study was to analyze many factors which influence weight total catch of mini purse seine and analyzed the productivities. The method apllied is case studies. Sampling method used are simple random sampling. Sampling size determined using Slovin formula and obtained 40 vessels as a sample. The data was analyzed using productivity analysis and factors that influenced catch of mini purse seine using SPSS 22 includes basic assumption test and multiple regression analysis. A hypothesis testing consists of normality, multicollinearity, autocorrelation and heterokedastisitas test. Productivity analysis of mini purse seine by gross tonnage (GT) obtained the value - average levels of productivity of 1.56. Based on F test is known that all independent variable can influence dependent variable significantly (R2 95.30%, α < 0.05). T test analysis obtained results that it is only a variable number of trips (X5) that significantly influence the amount of production by the equation Y = 4.431 + 1.061X5, if there is an addition of a number of arrests trip by 1% with assuming that all variables are fixed, there will be additional fisheries production amounted to 1.061%.

印度尼西亚中爪哇Pulolampes Brebes微型围网鱼生产力分析
鱼登陆基地(PPI) Pulolampes是中爪哇省布里布摄县的小型围网捕鱼基地之一。布里布的许多渔民更多地选择迷你钱包围网捕鱼。问题在于这种渔具的生产水平。因此,本研究的目的是分析影响迷你围网重量总渔获量的多种因素,并分析其生产力。所采用的方法是案例研究。抽样方法采用的是简单随机抽样。采用斯洛文公式确定样本量,得到40只血管作为样本。采用生产力分析对数据进行分析,影响迷你围网渔获量的因素采用SPSS 22进行基本假设检验和多元回归分析。假设检验包括正态性检验、多重共线性检验、自相关检验和异方差检验。对小型围网按总吨位(GT)进行的生产率分析得出其产值平均水平为1.56。经F检验可知,所有自变量均能显著影响因变量(R2 95.30%, α <0.05)。T检验分析得到的结果是,通过方程Y = 4.431 + 1.061X5,只有可变的旅行次数(X5)显著影响产量,如果在假设所有变量固定的情况下,增加1%的逮捕旅行次数,则额外的渔业产量将达到1.061%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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