预计南苏门答腊主要商品进口价值将使用C4.5

Evi Purnamasari
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引用次数: 0

摘要

当前,我们的世界仍然受到新冠病毒的打击,这一病毒对社会产生了影响,经济迅速下滑。目前,我们正在进入一个经济规模非常小的市场,尤其是在南苏门答腊省。这影响了南苏门答腊省主要商品的进口价值。因此,在本研究中,研究人员对预测南苏门答腊省主要商品进口价值发展水平的案例相关事项进行了分类试验。在本研究中,将运用C4.5方法对关键商品进口价值的发展水平进行预测,从而为建设更先进的政府提供决策依据。根据试验的结果,得出的结论是,作为一个进口商,你应该更明智地确定进口的价值,特别是如果我们省的财富对其他国家更感兴趣。到目前为止,与其他类型的进口相比,南苏门答腊省的化肥进口价值更高。这可以用于制定一项足够重要的政策,使南苏门答腊省的进口价值价格都很高。基于使用橙色应用程序的试验结果,获得了96.15%的准确率,这意味着它的错误率为13.85%。这表明,从使用决策树的测试结果来看,它足够好,可以用于预测导入值的水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediksi Perkembangan Nilai Impor Komoditas Utama di Provinsi Sumatera Selatan Menggunakan C4.5
Currently, our world is still being hit by the Covid-19 virus which has impacted society, experiencing a rapid decline in the economy. At present we are entering a market where the economy is very minimal, especially in the province of South Sumatra. This affects the import value of main commodities in South Sumatra Province. So in this study, researchers conducted trials in classifying matters related to cases of predicting the level of development of the value of imports of main commodities in South Sumatra Province. In this study, predictions will be made on the level of development of the value of imports of key commodities by applying the C4.5 method, so that they can be used as material for decision-making in building a more advanced government. Based on the results of the trial, the conclusion obtained is that as an importer, you should be wiser in determining the value of imports, especially if the wealth in our province is of greater interest to other countries. So far, the South Sumatra Province has a higher import value of fertilizer compared to other types of imports. This can be used in making a policy that is significant enough to be able to make the import value prices in the South Sumatra Province all high. Based on the trial results using the orange application, an accuracy of 96.15% was obtained, meaning it had an error rate of 13.85%. This shows from the results of testing using the Decision Tree that it is very good enough to be used in predicting the level of import value.
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