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Analisis Big Data untuk Deteksi Hoaks dan Disinformasi di Platform Berita Online

  • Mitranikasih Laia1*
  • Ayuliana2
  • Wasiran3
  • Muhammad Lukman Hakim4
  • Dikky Suryadi5
1,1 Universitas Nias Raya image/svg+xml
2 Binus University image/svg+xml
3,3 State University of Papua image/svg+xml
4,4 Universitas Mandiri Bina Prestasi image/svg+xml
5,5 Sekolah Tinggi Manajemen Informatika dan Komputer Al Muslim
* Corresponding Author: Mitranikasih Laia

Abstract

In the digital era, the spread of hoaxes and disinformation on online news platforms is a serious challenge that can affect public opinion and social stability. This research aims to analyze the application of Big Data technology in automatically detecting hoaxes and disinformation. The methods used include data collection from various online news sources, text processing using Natural Language Processing (NLP), and the application of machine learning algorithms to classify news based on their level of credibility. The dataset used includes news from various categories, which are validated with trusted sources. The results show that the combination of Big Data, NLP, and machine learning techniques can improve the accuracy of hoax detection with a high success rate. This study is expected to contribute to the development of a fake news detection system that is more effective and adaptive to the trend of information dissemination in the digital world.

Keywords

Big Data Hoaks Missinformation Natural Language Processing

How to Cite

Citation Format
Laia, M., Ayuliana, Wasiran, Hakim, M. L., & Suryadi, D. (2025). Analisis Big Data untuk Deteksi Hoaks dan Disinformasi di Platform Berita Online. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 9(2), 776-782. https://doi.org/10.35870/jtik.v9i2.3859

References

10 References
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Author Biographies

Mitranikasih Laia, Universitas Nias Raya, Universitas Nias Raya

Universitas Nias Raya, Kabupaten Nias Selatan, Provinsi Sumatera Utara, Indonesia.

Ayuliana, Binus University

Universitas Bina Nusantara, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta, Indonesia.

Wasiran, State University of Papua, State University of Papua

Universitas Papua Madani Jayapura, Kota Jayapura, Provinsi Papua, Indonesia.

Muhammad Lukman Hakim, Universitas Mandiri Bina Prestasi, Universitas Mandiri Bina Prestasi

Universitas Mandiri Bina Prestasi Medan, Kota Medan, Provinsi Sumatera Utara, Indonesia.

Dikky Suryadi, Sekolah Tinggi Manajemen Informatika dan Komputer Al Muslim, Sekolah Tinggi Manajemen Informatika dan Komputer Al Muslim

Sekolah Tinggi Manajemen Informatika dan Komputer Al Muslim, Kabupaten Bekasi, Provinsi Jawa Barat, Indonesia.

License

Copyright (c) 2025 Mitranikasih Laia, Ayuliana, Wasiran, Muhammad Lukman Hakim, Dikky Suryadi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This is an open-access journal distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, reproduction, and adaptation in any medium (even commercially), provided appropriate credit is given to the original author(s), a link to the license is provided, and any changes made are indicated. Authors retain copyright without restrictions and grant the journal the right of first publication as well as non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

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