利用文本挖掘实施重要性-绩效分析法提高本田摩托车经销商的客户满意度

Princess Eunike
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引用次数: 0

摘要

交通是人们生活的一个重要方面,在支持经济、社会和文化活动方面发挥着至关重要的作用。私人交通工具已成为印尼人的基本需求,且逐年增加,尤其是摩托车。本田是印尼最大的摩托车品牌之一,西爪哇是摩托车使用量最大的地区之一。然而,其市场份额却在逐年下降。有必要通过顾客购买本田产品的整个过程,从产品和服务两方面审查顾客对购买本田产品的满意度。因此,本研究将从在线评论,尤其是谷歌评论中发现客户需要的方面。本研究对万隆经销商 Daya Adicipta Motora、茂物经销商 Bintang Niaga Jaya 和茂物经销商 Murni Motor II 进行了案例研究。使用重要性绩效分析法(IPA)将建议必须优先改进的方面。第一步是使用非负矩阵因式分解(NMF)从谷歌评论中识别客户的需求,从而产生矩阵 H 和矩阵 W 作为每个方面的关键词。然后,本研究还将使用依赖树和词库 SenticNet5 计算每条评论的情感。 根据 NMF 和情感的输出结果,我们将计算性能和重要性级别。最终,性能水平和重要性水平将被绘制成图表,并分为四个象限,其中象限 A 为最优先改进的方面。在万隆经销商 Daya Adicipta Motora 确定的八个方面中,候车室设施成为改进的重点。茂物 Bintang Niaga Jaya 经销商有 7 个方面,服务和购买体验成为最优先改进的方面;茂物 Murni Motor II 经销商有 4 个方面,等候时间和等候室设施成为最优先改进的方面。
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Implementation Importance-Performance Analysis Method to Increase Customer Satisfaction of Honda Motorcycle Dealer using Text Mining
Transportation is an essential aspect of people’s lives that plays an essential role in supporting economic, social, and cultural activities. Private transportation has become a basic need for Indonesian people, increasing yearly, especially for motorcycles. One of the biggest motorcycle brands in Indonesia is Honda, and West Java is one of the most significant contributors to motorcycle usage. However, their market share is decreasing through the years. It is essential to review customer satisfaction in purchasing Honda products both in terms of product and service through their customer journey in purchasing Honda products. Therefore, this research will discover the aspects customers need from online reviews, especially Google reviews. This research conducted case studies on Dealer Daya Adicipta Motora Bandung, Dealer Bintang Niaga Jaya Bogor, and Dealer Murni Motor II Bogor. Using Importance Performance Analysis (IPA) will recommend aspects that must be prioritized to improve. The first step is to identify the customer’s needs from Google reviews using non-negative matrix factorization (NMF) that produces matrix H and matrix W as the keywords for every aspect. Then, this research also calculates the sentiment for each review using a dependency tree and lexicon SenticNet5. With the output from NMF and sentiment, we will calculate the performance and importance levels. Ultimately, the Performance Level and Importance Level will be plotted into the graph and divided into four quadrants, with Quandrant A as the top priority for improvement. Eight aspects identified in Dealer Daya Adicipta Motora Bandung, the waiting room facility become the priority of improvement. Dealer Bintang Niaga Jaya Bogor has 7 aspects identified, and the services and buying experience become the top priority of improvement; meanwhile, there are 4 aspects identified in Dealer Murni Motor II Bogor, with the waiting time and waiting room facility become the top priority for improvement.
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