PERAN LPDB DAN KUMKM NATUNA UNTUK MENJADI POROS MARITIM INDONESIA

Rezzy Eko Caraka
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引用次数: 1

Abstract

This research was motivated by Nusantara Jaya Expedition activities which were followed by Researcher and organized by the Coordinating Ministry of Maritime Affairs of the Republic of Indonesia in Natuna. The abundant natural resources in Natuna are mainly marine wealth and fisheries, which are then targeted by the Indonesian government as Indonesia's maritime axis so that more in-depth analysis. The purpose of this study is to find out which areas have similar closeness and will make it easier for LPDB to map potential areas in Natuna. This study involved three dependent variables consisting of GRDP, UN, and Number of Fisheries Households. Then it meant 12 independent variables comprising Capita Expenditures, Poverty  Index, Population, Micro Business Number, Total Business, Number of Traders, Number of Cooperatives, Production, Number of Aquaculture Households, Motorless Boats, Outboard Motorboats, and Motorboats. All analysis objectives can be answered using the principal component analysis biplot. Biplot is a method to make images in many dimensions of space into images in two-dimensional areas. The first Biplot obtained 77.28 percent of the total diversity of actual data.  The interpretation of the main component of the biplot produced can explain very well the relationship between the rate of GDP in Natuna District to capita expenditure and the poverty depth index and the Gini ratio in Natuna. In the second Biplot obtain  82.17 percent of the total diversity, which means that it was able to explain 82.17 percent of the United Nations Against Population, Number of Micro Businesses, Total Businesses,  Traders, Number of Cooperatives. In this analysis also found four dimensions of regions that have similar relationships, making it easier for LPDB to map the potential of the area in Natuna as Indonesia's maritime.
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lgdp和na金枪鱼在印尼海上中心的作用
这项研究的动机是努桑塔拉查亚考察活动,由研究人员跟踪并由印度尼西亚共和国在纳土纳的海洋事务协调部组织。纳土纳群岛丰富的自然资源主要是海洋财富和渔业,随后被印尼政府定位为印尼的海洋轴心,以便进行更深入的分析。这项研究的目的是找出哪些区域具有相似的接近度,从而使LPDB更容易绘制Natuna的潜在区域。本研究涉及三个因变量,包括GRDP、UN和渔业户数。然后是12个自变量,包括人均支出,贫困指数,人口,微型企业数量,总业务,贸易商数量,合作社数量,产量,水产养殖户数,无摩托艇,舷外摩托艇和摩托艇。所有的分析目标都可以用主成分分析双标图来回答。双标绘(Biplot)是一种将多个空间维度的图像转换成二维区域图像的方法。第一个Biplot获得了实际数据总多样性的77.28%。对绘制的双坐标图的主要成分的解释可以很好地解释纳土纳地区的GDP占人均支出的比率与纳土纳地区的贫困深度指数和基尼系数之间的关系。在第二个双标图中,获得了总多样性的82.17%,这意味着它能够解释82.17%的联合国人口,微型企业数量,企业总数,贸易商,合作社数量。在该分析中还发现了具有相似关系的地区的四个维度,这使得印尼海洋开发银行更容易绘制纳土纳群岛作为印度尼西亚海洋地区的潜力。
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