Analysis Of Socioeconomic Inequality In Tourism Based On Tripadvisor Reviews Using SVM And LDA (Case Study: Palabuhanratu)

Laila Nurfitria; Dudih Gustian; Anton Permana; Aat Suwanto; Azizul Azhar bin Ramli; Deden Witarsyah

doi:10.55227/ijhet.v5i4.1202

Authors

Laila Nurfitria Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi
Dudih Gustian Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi
Anton Permana Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi
Aat Suwanto Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi
Azizul Azhar bin Ramli Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi
Deden Witarsyah Program Studi Sistem Informasi Fakultas Teknik Komputer Dan Desain Universitas Nusa Putra Sukabumi

DOI:

https://doi.org/10.55227/ijhet.v5i4.1202

Keywords:

Latent Dirichlet Allocation, Socioeconomic Inequality, Support Vector Machine, Text Mining, Tourism

Abstract

The development of digital platforms has resulted in tourist reviews that can be used as a source of information about destination conditions, including indications of socioeconomic inequality. This study aims to identify categories of socioeconomic inequality and dominant topics in tourist reviews in the Palabuhanratu tourist area through Tripadvisor. The study used a quantitative method with a text mining approach. The study population consisted of tourist reviews on Tripadvisor related to tourist destinations in Palabuhanratu District, while the sample consisted of 393 reviews after a data selection process. Data were collected using a browser-based tool and stored in Microsoft Excel, then analyzed through preprocessing, TF-IDF, SVM, and LDA. SVM evaluation used a confusion matrix, accuracy, precision, recall, and F1-score. The results showed 307 reviews in the NEUT category, 68 in the ECON category, and 18 in the INFRA category. SVM produced an accuracy of 72.15%, while LDA produced three dominant topics related to beach beauty, tourist experience, and access to tourist areas. In conclusion, Tripadvisor reviews can reveal indications of socioeconomic inequality, even though tourists' discussions are more dominant on general travel experiences

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