Aisyah Larasati, Joko Sayono, Agus Purnomo, Effendi Mohamad, Muhammad Farhan, Puji Rahmawati
Tourist attractions are one of the destinations for the community to eliminate fatigue and to function as a self-entertainment. Lots of favorite cities chosen by the community as a tourist destination, one of which is Batu City, East Java. This city has a variety of tourist sites, which can be categorized into two types, namely natural and artificial. Thousands of people come every year to spend their holidays in the city of Batu. For this reason, this study aims to apply web mining and sentiment analysis to determine people's sentiment or perspective on tourist attractions in Batu through the reviews found on the website. The web mining method is used to retrieve information from the travel website. Then, the retrieve information is analyzed by using python programming language. There are eight tourist sites whose reviews were taken, with the total number of reviews are 4887 reviews. The results show that the tourists sites have a polarity value with a range between 0 to 1, which indicates that all the tourists' site gets a positive sentiment. In addition, the resulting subjectivity value is in the range of 0.4 to 0.6, which indicates that all reviews given by visitors are opinions or personal opinions. It implies that each tourist site has sufficiently met the needs of visitors, regarding the facilities and infrastructure that are provided. © 2020 IEEE.
Universitas Negeri Malang, Department of Industrial Engineering, Malang, Indonesia; Universitas Negeri Malang, Department of History, Malang, Indonesia; Universitas Negeri Malang, Department of Social Studies, Malang, Indonesia; University Teknikal Malaysia, Faculty of Manufacturing Engineering, Melaka, Malaysia
