Analisis Sentimen Mengenai Kualitas Layanan Jasa Ekspedisi Shopee Xpress Pada Media Sosial Twitter

Tri Widarmanti, Aisyah Munisera
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Abstract

Technological advances in Indonesia has developed rapidly so that it cannot be separated from people's lives. This technological advancement has had a significant impact on e-commerce and increased usage of delivery services. The more shipping services available, the tighter the competition will be, so the freight forwarders must prepare well if they want to survive in this business competition. Shopee Xpress is one of the expedition services in Indonesia which was developed directly by Shopee so that every package that uses this expedition will be sent and handled directly by the official team from Shopee. However, many customers complain about Shopee Xpress expedition services regarding late delivery, untracked, damaged or lost packages and unfriendly employees. This study aims to understand consumer opinion on the quality of Shopee Xpress services on Twitter using positive and negative sentiments. Research data was collected for 3 months from 01 November 2022 to 30 January 2023. The data obtained was then processed using the Naïve Bayes Classifier algorithm with a sentiment analysis method based on the dimensions of service quality. The word cloud is used to describe the words that appear most frequently in each dimension of service quality based on their sentiments. The results show that the model produces an accuracy value of 86.33% which indicates that the model has described the accuracy of the data properly and is valid. Negative sentiment dominates consumer opinion regarding Shopee Xpress with the reliability dimension being the most discussed. Furthermore, based on word cloud visualization, there are several things that consumers often complain about in each dimension as a material for consideration to improve the quality of Shopee Xpress services. The results of research related to Shopee Xpress consumer opinion on Twitter social media can be used by the company as material for consideration to improve and improve the quality of services provided in order to maintain customer loyalty.
Twitter社交媒体上对Shopee Xpress服务质量的情绪分析
印度尼西亚的科技进步发展迅速,与人们的生活密不可分。这一技术进步对电子商务产生了重大影响,并增加了快递服务的使用。航运服务越多,竞争就越激烈,货运代理企业要想在竞争中生存,就必须做好充分的准备。Shopee express是Shopee在印尼直接开发的远征服务之一,因此使用该远征的每个包裹都将由Shopee的官方团队直接发送和处理。然而,许多客户抱怨Shopee express的远征服务,如延迟交货,无跟踪,损坏或丢失的包裹和不友好的员工。本研究旨在了解消费者对Shopee express Twitter服务质量的正面和负面评价。研究数据收集时间为3个月,从2022年11月1日至2023年1月30日。然后使用Naïve贝叶斯分类器算法对获得的数据进行处理,并采用基于服务质量维度的情感分析方法。云这个词是用来描述在服务质量的每个维度中基于它们的情感出现频率最高的词。结果表明,该模型的精度值为86.33%,表明该模型能较好地描述数据的精度,是有效的。消费者对Shopee express的评价以负面情绪为主,其中对可靠性的讨论最多。此外,基于词云可视化,在每个维度中有几件消费者经常抱怨的事情,作为提升Shopee express服务质量的考虑材料。关于Shopee express在Twitter社交媒体上的消费者意见的相关研究结果,可以作为公司改进和提高所提供服务质量的参考材料,以保持顾客的忠诚度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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