用统计方法分析 Pertamina RU IV Cilacap 炼油厂沥青产品的销售情况

Aly Rasyid, Abdullah Rizky Agusman, Angellita Meisya Dellila
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引用次数: 0

摘要

公路、收费公路、机场、港口、桥梁等道路基础设施的建设平均每年需要 120 万吨沥青。在这种情况下,国内对沥青的需求量非常大。沥青产品是石油衍生产品之一,具有很高的经济价值,是基础设施建设的主要原材料。本研究的重点是 Pertamina RU IV Cilacap 炼油厂 60/70 贯入度规格的沥青产品,这些产品适应印尼热带气候的需求和条件,是 PT Patra Trading 的优势产品之一。本研究的目的是使用定量方法,即 SPSS 软件 25.0 版的统计模型,分析同时和部分显著效应。问卷中作为研究变量来支持本研究的参数是卓越产品、产品应用和产品质量。产品卓越性是指产品在客户眼中具有价值和优势的因素,产品应用是指使用产品满足客户需求的过程,产品质量是指产品满足规格要求以提高客户满意度的能力。结果表明,卓越产品 X1 和产品应用 X2 变量对产品质量参数 Y 具有同时影响,基于 F(同时)检验,该检验用于衡量回归方程的拟合优度,或确定方程中包含的所有自变量是否共同影响因变量,其显著性值为 0.00 T 表 2.02 的显著性水平为 0.000 < 0.05 或显著性值小于 0.05,这表明卓越产品变量 X1 对产品质量 Y 有显著的部分影响,T 数 6 528> T 表 2.02 的显著性水平为 0.000 < 0.05 或显著性值小于 0.05,这表明卓越产品变量 X1 对产品质量 Y 有显著的部分影响,T 数 6 528> T 表 2.02 的显着水平为 0.000 <0.05 或显着值小于 0.05,表明产品应用变量 X2 对产品质量 Y 有显着和部分影响。确定系数检验用于衡量自变量的变化对因变量的解释程度,表明自变量卓越产品 X1 和产品应用 X2 对因变量产品质量的影响为 91.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Penjualan Produk Aspal Kilang Minyak Pertamina RU IV Cilacap Dengan Metode Statistik
The development of road infrastructure such as highways, toll roads, airports, ports, bridges and other infrastructure requires an average of 1.2 million tons of asphalt per year. Under these conditions, the need for domestic asphalt is very large. Asphalt products are one of the petroleum derivative products that have high economic value and are the main raw material in infrastructure development. This research focuses on Pertamina RU IV Cilacap Oil Refinery Asphalt products with 60/70 penetration specifications that have been adapted to the needs and conditions of Indonesia with a tropical climate and are one of the superior products at PT Patra Trading. The purpose of this study is to analyze the simultaneous and partial significant effects using quantitative methods, namely statistical models on SPSS software version 25.0. The parameters used as research variables in the questionnaire to support this research are product excellence, product application, and product quality. Product excellence is a factor that makes a product have value and advantages in the eyes of customers, product application is the process of using products to meet customer needs, and product quality is the ability of a product to meet specifications to increase customer satisfaction. The results showed that the variables of product excellence X1 and product application X2 had a simultaneous effect on the product quality parameter Y based on the F (Simultaneous) test which serves to measure the goodness of fit of the regression equation or determine whether all the independent variables contained in the equation jointly affect the dependent variable by producing a significance value of 0.00 <0.05. Based on the T test (Partial) which serves to test how far the influence of one independent variable individually in explaining the variation in the dependent variable by producing a T-count value of 8.157> T-table 2.02 with a significant level of 0.000 < 0.05 or a significant value smaller than 0, 05 which indicates that there is a significant and partial influence on the Product Excellence variable X1 on Product Quality Y and T-count 6,528> T-table 2.02 with a significant level of 0.000 <0.05 or a significant value smaller than 0.05 there is a significant and partial influence on the Product Application variable X2 on Product Quality Y. Based on the coefficient of determination test which serves to measure how much variation in the independent variable can explain the dependent variable which shows the independent variable Product Excellence X1 and Product Application X2 affect the dependent variable Product Quality by 91.9%.
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