Published: 2020-12-30

Text Mining Analysis untuk Identifikasi Artikel Hoax Menggunakan Algoritma Cosine Similarity

DOI: 10.35870/jtik.v4i2.149

Yulianty Lasena, Husdi Husdi, Maryam Hasan
  • Yulianty Lasena: Universitas Ichsan Gorontalo , Indonesia . image/svg+xml
  • Husdi Husdi: Universitas Ichsan Gorontalo , Indonesia . image/svg+xml
  • Maryam Hasan: Affiliation name not available , Affiliation name not available , Indonesia
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Abstract

The impact of significant technological developments in everyday life starts from simple activities to activities that require a high level of precision. The development of information technology also contributes to the dissemination of news. In Indonesia, Information Technology is also developing rapidly where internet users currently number 132.7 million or 52% of Indonesia's population. The exchange of information between people is a positive thing, but its dissemination through social media is not all facts. In a number of cases that have occurred, for example the spread of news that is not factual is often called a hoax. The latest technology that can help overcome this, one of which is the technology known as Text Mining. This is used to solve problems faced by internet users with fake information (hoax).

Keywords

Hoax ; Articles ; Cosine Similarity ; Text Mining

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How to Cite

Lasena, Y., Husdi, H., & Hasan, M. (2020). Text Mining Analysis untuk Identifikasi Artikel Hoax Menggunakan Algoritma Cosine Similarity. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 4(2), 132-137. https://doi.org/10.35870/jtik.v4i2.149
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This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 4 No. 2 (2020)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2020

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