Published date:Mar 22 2024

Journal Title: KnE Social Sciences

Issue title: International Conference on Engineering Management and Sustainable Innovative Technology (ICEMSIT)

Pages:30–39

DOI: 10.18502/kss.v9i10.15693

Argaditia Mawadatimawadati@akprind.ac.idBusiness, Institut Sains & Teknologi AKPRIND Yogyakarta, Yogyakarta, Indonesia

Windyaning UstyannieBusiness, Institut Sains & Teknologi AKPRIND Yogyakarta, Yogyakarta, Indonesia

Agus Hindarto WibowoBusiness, Institut Sains & Teknologi AKPRIND Yogyakarta, Yogyakarta, Indonesia

Risma Adelina SimanjuntakDepartement of Industrial Engineering, Faculty of Industrial Technology, Institut Sains & Teknologi AKPRIND Yogyakarta, Yogyakarta, Indonesia

Visitor reviews written on Google Reviews can show the quality of a product or business. It can also indirectly be a promotion that attracts new consumers. There is a lot of information that can be processed from Google Review that is useful for improving business quality and customer satisfaction. One method that can be used to analyze review data is sentiment analysis. This study analyzed the reviews of coffee shop visitors in the Yogyakarta area written on Google Rewies using the Naïve Bayes Method. Visitor reviews were analyzed using sentiment analysis to see if visitor reviews tend to be positive or negative. Coffee shop business voters can see the level of customer satisfaction and find out what things need to be maintained and improved to increase customer satisfaction. The results of the sentiment analysis showed that more words were detected as positive than negative. Coffee shop visitors in Yogyakarta showed more positive emotions about their experiences when visiting coffee shops, which means most visitors were satisfied with the services and products offered by coffee shop owners in Yogyakarta. Visitors most often wrote about good coffee, price, friendly, suitable, spacious parking, hanging out, comfort, food, service, taste, and working space. Thus, coffee shop owners should focus on those things to increase their customer satisfaction.

Keywords: visitor reviews, Google Reviews, sentiment analysis, customer satisfaction

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