首页> 外文OA文献 >Pembentukan Model Log Linier Empat Dimensi (Studi Kasus : Rata-rata Pengguna Jenis Bahan Bakar Minyak Berdasarkan Jenis Kendaraan, Rasio Kompresi dan Kapasitas Mesin)
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Pembentukan Model Log Linier Empat Dimensi (Studi Kasus : Rata-rata Pengguna Jenis Bahan Bakar Minyak Berdasarkan Jenis Kendaraan, Rasio Kompresi dan Kapasitas Mesin)

机译:形成四维线性对数模型(案例研究:基于车辆类型,压缩比和发动机容量的平均燃料用户类型)

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摘要

Based on the data from the Central Bureau of statistics, Indonesia\u27s population is 237 million, an increase of 15.2% of the total population in 2000. With the increasing of the population from year to year, automatically the growth of vehicles will also experience increased. The impact of the increase in the number of motor vehicles is surely in the form of fuel consumption. Moreover, many factors will consider by the people to choose the type of fuel for their vehicle. Those factors included in the internal and external factors of the vehicle itself. At first, the internal factors in question are the type of vehicle, the compression ratio of the engine, and engine capacity. This research was conducted to find out the relationship between the internal factors with the log-linear Models. Log-linear Model was used to analyze the relationship between the variable responsesthat arewhich formed the contingency table. In this case, the researcher used log-linear Model of four dimensions with the step of analysis, as follows: outlining the possible model with diagram\u27s association, looking for the grade of frequency estimation of hope of any possible model, examining the Goodness of Fit of each model to find out the significant one, and determining the best model, in this case by looking at the smallest value of AIC. From the log-linear Model four dimensions is obtained the best model is the Model (WX, XY, XZ, YZ YZ) which means in case of this research there is a relationship between the type of fuel (W)*type of vehicle (X), the type of vehicle (X)*the compression ratio of the engine (Y), the type of vehicle (X)*engine capacity (Z), and the compression ratio of the engine (Y)*Engine Capacity(Z), with the value of AIC = -184.
机译:根据中央统计局的数据,印度尼西亚的人口为2.37亿,在2000年占总人口的15.2%。随着人口的逐年增加,汽车的自动增长也将经历增加。机动车数量增加的影响肯定是以燃料消耗的形式。而且,人们会考虑许多因素来选择其车辆的燃料类型。这些因素包括在车辆本身的内部和外部因素中。首先,所考虑的内部因素是车辆的类型,发动机的压缩比和发动机容量。进行这项研究以找出内部因素与对数线性模型之间的关系。使用对数线性模型分析构成列联表的变量响应之间的关系。在这种情况下,研究人员在分析步骤中使用了四个维度的对数线性模型,方法是:通过图关联概述可能的模型,寻找任何可能模型的希望频率估计的等级,检查优度每种模型的拟合度以找出重要模型,并确定最佳模型(在这种情况下,通过查看AIC的最小值)。从对数线性模型获得四个维度,最好的模型是模型(WX,XY,XZ,YZ YZ),这意味着在本研究中,燃料类型(W)*车辆类型( X),车辆类型(X)*发动机的压缩比(Y),车辆类型(X)*发动机容量(Z)和发动机的压缩率(Y)*发动机容量(Z) ),其AIC值为-184。

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