Analisis Text Clustering Masyarakat Di Twitter Mengenai Omnibus Law Menggunakan Orange Data Mining

Authors

  • Ratu aghnia raffaidy wiguna Padjadjaran University, Indonesia
  • Andri Irfan Rifai International University of Batam, Indonesia
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DOI:

https://doi.org/10.33557/journalisi.v3i1.78

Keywords:

Visualisasi Data, Orange Data Mining, OmnibusLaw, Vader

Abstract

Sosial media dengan platform twitter menjadi hal menarik untuk diteliti. Trending topik tersebut menghasilkan komentar masyarakat Indonesia yang mengandung opini berupa emosi. Penelitian ini mencoba menganalisis opini di twitter dengan metode analisis vader yang menghasilkan tweet profiler kemudian visualisasi distribution. Penelitian ini menggunakan tools orange data mining dengan mengaplikasikan Prepocess text yang meliputi transformation, tokenization, normalization, dan filtering yang bertujuan agar text bisa dianalisis. Kesimpulan dari penelitian ini yaitu respon masyarakat terhadap UU Cipta Kerja Omnibus Law mendapat 6 respon dan yang paling tertinggi responnya adalah masyarakat merasa surprise.

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References

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Published

2021-02-28

Issue

Vol. 3 No. 1 (2021): Journal of Information Systems and Informatics

Section

Articles

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How to Cite

[1]
R. aghnia raffaidy wiguna and A. I. Rifai, “Analisis Text Clustering Masyarakat Di Twitter Mengenai Omnibus Law Menggunakan Orange Data Mining”, journalisi, vol. 3, no. 1, pp. 1–12, Feb. 2021, doi: 10.33557/journalisi.v3i1.78.