Identifikasi Polaritas Sikap Pengguna Aplikasi X terhadap Coretax di Indonesia Menggunakan Algoritma Naïve Bayes

Dina Rahma Prasilda; Wenty Dwi Yuniarti; Maya Rini Handayani; Khothibul Umam

doi:10.30865/jurikom.v12i3.8548

Authors

Dina Rahma Prasilda UIN Walisongo, Semarang https://orcid.org/0009-0006-3887-2543
Wenty Dwi Yuniarti UIN Walisongo, Semarang
Maya Rini Handayani UIN Walisongo, Semarang
Khothibul Umam UIN Walisongo, Semarang

DOI:

https://doi.org/10.30865/jurikom.v12i3.8548

Keywords:

Coretax, Public Sentiment Analysis, Natural Language Processing, Indonesian Lexicon, Naïve Bayes

Abstract

The Core Tax Administration System (Coretax) was launched by the Directorate General of Taxes (DGT) in January 2025 as a technology-based integrated tax system. While its initial goal was to improve tax efficiency and compliance, Coretax faced technical challenges, including system errors, slow processing speed, and criticism from the public. The main platform used to address these challenges is the X app (formerly known as Twitter). This research aims to understand the public's views and responses to Coretax's services by analyzing user sentiment patterns seen on social media. The research identifies the polarity of user attitudes by utilizing natural language processing (NLP) and Naïve Bayes algorithms, applied to a dataset of 1,628 tweets collected between January and March 2025. The analyzed data reflects a wide range of public reactions that include both positive and negative opinions towards the Coretax implementation, both in terms of functionality and ease of use. The results show that the model has an accuracy rate of 93.07%, a precision value of 95%, a recall value of 96%, and an F1-Score value of 96%. The results of this study are expected to be able to provide precise mapping related to changes in public opinion towards Coretax, so that it can be a valuable source of information for application developers, policy makers in the field of taxation, and analysis in the technology sector in responding to the needs and expectations of society in the digital era.

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