Analisis Sentimen Masyarakat Terhadap Direktorat Jenderal Pajak

Authors

  • Juli Supriyanto Gea Universitas Kristen Immanuel
  • Haeni Budiati Informatika, Universitas Kristen Immanuel
  • Kristian Juri Damai Lase
  • Sunneng Sandino Berutu

DOI:

https://doi.org/10.61179/jurnalinfact.v8i01.466

Keywords:

dirjen pajak, twitter, sentiment analysis, opinion mining

Abstract

One process of recognizing opinions in the form of text to determine emotions neutrally, positively, or negatively is called sentiment analysis. Sentiment analysis will explore people's emotions from texts conveyed through various social media.

Directorate general of taxes as data taken from twitter for analysis was used by the author to support research. Data collection is done by searching and collecting data with tax keywords from twitter, so that it can be analyzed to determine public sentiment. From the data collected and analyzed, 40.5% were neutral, 39.4% positive, and 20.1% negative.

References

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Hot M. H. 2022. Analisis Sentimen Pengguna Twitter Terhadap Layanan Pajak Kendaraan Bermotor Menggunakan Algoritme Naive Bayes Classifier. Skripsi. Fakultas Matematika dan Ilmu Pengetahuan Alam. Universitas Lampung: Bandar Lampung.

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Published

2024-01-30

How to Cite

[1]
J. S. Gea, H. Budiati, K. J. D. Lase, and S. S. Berutu, “Analisis Sentimen Masyarakat Terhadap Direktorat Jenderal Pajak”, IIJC, vol. 8, no. 01, pp. 28–34, Jan. 2024.

Issue

Vol. 8 No. 01 (2024): Jurnal Sains dan Komputer

Section

Articles

License

Copyright (c) 2024 Juli Supriyanto Gea, Haeni Budiati

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