Muridin
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摘要

本研究于2020年6月至7月进行,旨在了解Yosowinangun村存在商品轮作后收入和生产成本效率的增加幅度,并确定农民特征对Yosowinangun村商品轮作收入的影响和关系。所使用的方法是以Yosowinangun村为中心的调查方法,该村的人口主要是低地稻农,他们还轮作水稻和鲤鱼商品。此外,本研究采用的抽样方法是简单随机抽样方法。本研究的样本数量为来自20个从事水稻和鲤鱼商品轮作的农民群体的14个样本。结果表明,水稻和鲤鱼商品轮作制度下稻田使用农民的收入增加为Rp. 1,645,001,-/Ha/产量,而生产成本的使用效率R/C比值为1.99,基于R/C比值> 1的标准,生产成本在商品轮作制度下的使用是有效的。因变量与稻鲤商品轮作系统养殖收入之间存在显著的强相关关系,置信水平为95%,相关系数(R = 0.999), f检验值(Fcount = 545.516 > Ftable = 3,63)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pengaruh Dan Hubungan Karakteristik Petani Terhadap Penggunaan Lahan Sawah Dengan Sistem Pergiliran Komoditi Di Desa Yosowinangun Kecamatan Belitang Madang Raya Kabupaten Oku Timur
This research was conducted in June–July 2020, with the aim of knowing the magnitude of the increase in income and production cost efficiency with the existence of commodity rotation farming in Yosowinangun Village and to determine the effect and relationship of farmer characteristics on commodity rotational farming income in Yosowinangun Village. The method used is a survey method centered on Yosowinangun Village, the population of which is mostly lowland rice farmers who also operate rotational farming of rice and carp commodities. Furthermore, the sampling method used in this study is using the simple random sampling method. The number of samples taken in this study were 14 samples from 20 farmer populations who were engaged in rotational farming of rice and carp commodities. The results showed that the increase in income obtained by farmers with the use of paddy fields with a rice and carp commodity rotation system was Rp. 1,645,001,-/Ha/production, while the efficiency of the use of production costs shows an R/C ratio value of 1.99, based on the criteria that the R/C Ratio > 1 means that the use of production costs in the commodity rotation system farming is efficient. Furthermore, there is a significant and strong relationship between the dependent variable and the income of the rice and carp commodity rotation system farming with a confidence level of 95%, with a correlation coefficient (R = 0.999), with an F-test value (Fcount = 545.516 > Ftable = 3 ,63).
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