PD数据可视化与销售预测。2019年亚洲阿贡(味之素)Pontianak

W. Yunus, Ririn Ikana Desanti, Wella Wella
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引用次数: 0

摘要

PD。Asia Agung Pontianak是味之素在西加里曼丹地区的唯一官方分销商。这家公司每年都需要计算出下一年的营业额。不幸的是,该公司只使用每年的平均收入进行预测,这是非常不准确的。本研究是为了创建可视化和预测使用多元线性回归方法来预测来年获得的营业额。多元线性回归是一种可以在预测过程中使用2个以上变量的回归分析方法,分为2部分,即因变量和自变量。本研究得出的结果是基于2010 - 2018年的数据对2019年的预测结果。预测结果表明,数据使用时间越长,得到的错误率越小。公司的原始数据使用tableau软件上的仪表板进行可视化,以便公司可以更容易地分析数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019
PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.
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