Application design to help predict market demand using the waterfall method

R. A. Purba
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引用次数: 4

Abstract

Covid-19 has not been defeated make the economy unstable. The government increases purchasing power with a stimulus. The government's stimulus for PPnBM 0% of cars is a breath of fresh air. Sales rate increases. Even so, the ups and downs keep happening. Sales are unstable. In one to three months, five cars can be sold. It could also take 3 to 6 months, only 1 unit. Must make a strategy to avoid overcrowding of units. Like PT. Suka Fajar Ltd Medan. Companies engaged in the sale of Mitsubishi cars. As operating costs increase, management limits the acceptance of car shipments. This policy has fatal consequences. When consumers want to buy a particular car unit, it is not available. Incidents like this happened more than five times. The company's image is not good. Researched to design and build applications that can make predictions—collaborated with the linear regression. To be directed and sequential, the waterfall is used. Ensuring the application is suitable for testing with the black box. Research leads to the conclusion that the application is designed and built according to what is needed.
应用程序设计,以帮助使用瀑布方法预测市场需求
新冠肺炎疫情没有被战胜,经济不稳定。政府通过刺激计划提高购买力。政府对汽车的刺激计划是一股清新的空气。销售率上升。即便如此,起起伏伏仍在发生。销售不稳定。在一到三个月内,可以卖出五辆车。也可能需要3到6个月,只需要一个单位。必须制定策略以避免单元过度拥挤。比如棉兰Suka Fajar有限公司。公司从事三菱汽车的销售。随着运营成本的增加,管理部门限制了接受汽车运输。这一政策带来了致命的后果。当消费者想要购买特定的汽车部件时,它是不可用的。这样的事件发生了五次以上。公司的形象不好。研究设计和构建可以进行预测的应用程序-与线性回归合作。为了指导和顺序,瀑布被使用。确保应用程序适合使用黑盒进行测试。研究得出的结论是,应用程序是根据需要设计和构建的。
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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24 weeks
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