马尔可夫链在巴苏鲁区再生农业预测中的应用

A. Wahid, Ayik Pusakaningwati, Md Abdul Kaium Masud
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引用次数: 0

摘要

工业5.0时代在各个领域都产生了许多积极和消极的变化,其中一个负面影响是与年轻农民比例较低有关的农业部门,因此政府在未来的农业发展计划中必须认真关注,特别是在农业基地地区,如帕苏鲁安摄政。这种情况鼓励了寻找解决方案来实现农民再生的重要性。本研究旨在通过马尔可夫链模型的方法,分析巴苏鲁安县农业工人的代际转换。本研究的最终结果是分析Pasuruan县几代农业工人之间的转变,从而可以作为制定未来政策的基础,以改善未来几代农业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of markov chain in predicting regeneration agricultural in Pasuruan district
The Industrial Era 5.0 has made many positive and negative changes in various sectors, one of the negative impacts is the agricultural sector related to the lower portion of young farmers so that it must be a serious concern for the government in future agricultural development programs, especially in agricultural base areas such as in Pasuruan Regency. This situation encourages the importance of finding solutions to realize the regeneration of farmers. This study aims to analyze the transformation between generations of agricultural workers in Pasuruan Regency through the Marcov Chain model approach. The final result of this study is the analysis of transformations between generations of agricultural workers in Pasuruan Regency so that it can be used as a basis for formulating future policies for better future generations of agriculture.
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