分析营销组合策略对低电压操作证书(slots - tr)的影响

M. Syahputra, E. S. Rini, Sugiharto Pujangkoro
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引用次数: 0

摘要

本研究旨在分析营销组合策略对低电压运行合格证书(Low Voltage Operating Eligibility Certificate,简称Low - tr)购买的显著影响。作为自变量的营销组合策略指标有:产品(X1)、价格(X2)、地点(X3)、促销(X4)、人(X5)、过程(X6)、物证(X7)。以《低压运行合格证》(Low - tr)的购买决策指标为因变量,采用多元线性回归分析模型描述定量研究方法。人口来自于为PT. Serkolinas的低电压操作资格证书(slow - tr)做出购买决定的客户。通过发放调查问卷收集原始数据的研究类型。利用斯洛文公式,将回答者的数量变成100人的样本进行进一步分析。随机抽样的分层比例抽样技术。研究结果:(1)估计模型的R2值为0.534,代表决定系数的值。这意味着53.40%的因变量变化可以用这个模型中的自变量来解释。其余的46.60%是由模型中未包含的其他原因解释的;2)回归模型对自变量同时影响因变量;(3)在分析营销组合策略对购买决策(Y)的影响时,产品(X1)、价格(X2)、过程(X6)和实物证据(X7)具有影响且显著,而在分析营销组合策略对购买决策(Y)的影响时,地点(X3)、促销(X4)和人(X5)没有影响且不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Menganalisis Pengaruh Strategi Bauran Pemasaran Terhadap Pembelian Sertifikat Laik Operasi Tegangan Rendah (SLO-TR)
This research aims to analysis the significant influence between marketing mix strategy on the purchase of Low Voltage Operating Eligibility Certificate (SLO-TR). Marketing mix strategy indicator as independent variable are product (X1), price (X2), location (X3), promotion (X4), people (X5), process (X6) and physical evidence (X7). The purchase decision indicator of Low Voltage Operating Eligibility Certificate (SLO-TR) as the dependent variable is the purchasing decision (Y). Quantitative research methods are described in multiple linear regression analysis models. The population is obtained from customers who make purchasing decision for Low Voltage Operating Eligibility Certificates (SLO-TR) at PT. Serkolinas. Type of research with primary data collected by dissemination of questionnaire. Using the Slovin formula, the number of respondents who became a sample of 100 people for further analysis. Stratified proportionate sampling technique by random sampling. Research results: (1) The estimation model shows an R2 value of 0,534 which represents the value of the coefficient of determination. This means that 53,40% of the dependent variable variation is able to be explained by the independent variable in this model. The remaining 46,60% is explained by other causes that are not included in the model; 2) The regression model on the independent variable simultaneously influence the dependent variable; and (3) This research produces results that product (X1), price (X2), process (X6) and physical evidence (X7) are influential and significant in analysis the influence of marketing mix strategy on purchasing decision (Y). But, place (X3), promotion (X4) and people (X5) had no influential and were not significant in analysis the influence of marketing mix strategy on purchasing decision (Y).
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