Peramalan Penjualan Mobil Pada PT Toyota Astra Motor Indonesia Dengan Metode Trend Semi Average Dan Metode Least Square

Isnurrini Hidayat Susilowati
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Abstract

The purpose of this study is to determine the car sales volume desired by PT Toyota Astra Motor so that the company can make decisions by conducting sales forecasting. This type of research is carried out in a quantitative descriptive form. Data collection techniques using documentation techniques and carried out by collecting secondary data. The car sales forecasting method at Toyota Astra Motor Indonesia using the semi-average trend method with the 2022 sales forecasting result of 241,301 units and the sales forecasting result in 2022 with the least square method is 244,145 units. The smallest accuracy or error of car sales forecasting is found in the semi-averade trend method with MAD values of 39,685, MSE 2,172,864,066 and MAPE 14.73%.
印尼PT丰田阿斯特拉汽车的销售与春季平均趋势方法和最不平方的方法相匹配
本研究的目的是确定PT丰田阿斯特拉汽车公司所需的汽车销量,以便公司通过进行销售预测来做出决策。这类研究是以定量描述的形式进行的。数据收集技术采用文档技术并通过收集二手数据进行。丰田印尼阿斯特拉汽车公司的汽车销量预测方法采用半平均趋势法,预测2022年的销量为241,301辆,采用最小二乘法预测2022年的销量为244,145辆。半平均趋势法预测汽车销量的准确度或误差最小,其MAD值为39,685,MSE值为2,172,864,066,MAPE值为14.73%。
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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