A Model Statistical during Covid-19 Future ECommerce Revenue for Indonesia Aviation

Taufik Hidayat, Rahutomo Mahardiko, A. Rosyad
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Abstract

Until today, Information Technology (IT) has been felt by aviation industry showed by positive growth of operating revenue before Covid-19 pandemic. The pandemic of Covid-19 changes the world especially the aviation industry by slowing down the business transaction. This study presents statistical model on recent e-commerce revenue of aviation, the number of passengers and the IT investments then predicts future of e-commerce revenue, the number of passengers and the IT spending using Neural Networks. This method is useful to predict the future because it follows the time being. The chosen variables are intended whether IT has an impact during the pandemic for passenger generation year by year. The results show that for the next few years, the revenue, the number of passengers and the IT spending are significantly increasing, while there are problems faced in aviation industry because of Covid-19. This model also can be applied for other industry.
新冠肺炎期间印尼航空未来电子商务收入的模型统计
直到今天,航空工业仍然感受到信息技术(IT)的影响,在新冠疫情之前,航空工业的营业收入出现了正增长。新冠肺炎疫情改变了世界,尤其是航空业,使商业交易放缓。本研究建立了航空公司近期电子商务收入、旅客数量和IT投资的统计模型,并利用神经网络对未来电子商务收入、旅客数量和IT支出进行了预测。这种方法对预测未来很有用,因为它是随时间变化的。所选变量的目的是IT是否在大流行期间对每年的乘客产生影响。结果表明,在未来几年,收入、乘客数量和IT支出都将显著增加,而航空业因新冠肺炎而面临一些问题。该模型也可应用于其他行业。
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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