亚齐省有地方附属党的获胜国家党政治营销成功分析

Wahyuddin Wahyuddin, Fuadi Fuadi, Falahuddin Falahuddin, H. Hanif
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引用次数: 0

摘要

本研究的目的是确定亚齐国家政党及其附属地方政党的胜利的政治营销的成功程度。本研究采用了产品、促销、价格和地点的政治营销概念。主要数据是通过问卷调查获得的。研究地点是亚齐省的两个区,即Bireuen Regency和Pidie Jaya Regency,而在估计模型中使用最大似然(ML)进行抽样需要使用最小样本量为100。通过设定每个选民的样本数量,国家政党和地方政党选民。样本将在方便的时候从每个研究地点取走。研究结果的决定系数(R2)为0.269。这意味着26.9%的因变量(即选择政党的决定)的变化可以用自变量(即产品、促销、价格和地点)来解释。而剩下的73.1%是由研究变量之外的其他变量解释的。这说明自变量的贡献对因变量的影响很小。而地方政党选择决策的决定系数为0.672。这意味着67.2%的因变量,即选择当地当事人的决定的变化,可以解释为自变量,即产品,促销,价格和地点。而剩下的32.8%是由研究变量之外的其他变量解释的。这表明自变量的贡献对因变量有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF THE POLITICAL MARKETING SUCCESS OF THE WINNING NATIONAL PARTY WITH LOCAL AFFILIATED PARTY IN ACEH
The purpose of this study was to determine the level of success of the political marketing of the victory of the national party with its affiliated local party in Aceh. The political marketing concept of product, promotion, price and place is used in this study. Primary data was obtained by using a questionnaire. The research locations are two districts in the province of Aceh, namely Bireuen Regency and Pidie Jaya  Regency, while sampling using Maximum Likelihood (ML) in the estimation model requires the use of a minimum sample size of 100. By setting the number of samples for each voter national parties and local party voters. The sample will be taken at convenience from each research location. The result of the study of the coefficient of determination (R2) is 0.269. This means that 26.9% changes in the dependent variable, namely the Decision to Choose a National Party, can be explained in the independent variables, namely Product, Promotion, Price, and Place. While the remaining 73.1% is explained by other variables outside the variables studied. This shows that the contribution of the independent variable has little impact on the dependent variable. While the results of the coefficient of determination of the Decision to Choose a Local Party is 0.672. This means that 67.2% changes in the dependent variable, namely the Decision to Choose a Local Party, can be explained in the independent variables, namely Product, Promotion, Price, and Place. While the remaining 32.8% is explained by other variables outside the variables studied. This shows that the contribution of the independent variable has an impact on the dependent variable.
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