Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JOIV : International Journal on Informatics Visualization

Text Mining for News Forecasting on The Turnback Hoax Website Wirawan, Rio; Krisnanik, Erly; Arista, Artika
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1939

Abstract

News has been disseminated swiftly via the internet due to the rapid growth of information technology. The rapid spreading of news often confuses because the truth cannot be ascertained. Additionally, online social media is becoming increasingly popular, making it an excellent environment for propagating false information, including misinformation, phony reviews, advertising, rumors, political remarks, innuendo, etc. This study's specific goal is to classify data using a data mining approach model called text mining so that a system can automatically do the classification. As a result, the study will produce a dataset, which can then be used to create an application using data mining's ability to predict breaking news. An application was produced by employing data mining to forecast recent news. This study was able to classify data using a naive Bayes data mining approach model so that a system can automatically do the classification. The study produced an accuracy of 77% obtained with training data of 82%. From 994 contents, the classification of misleading content reached 33.9%, false content as many as 24.85%, imitation content was 13.48%, fake content reached 11.07%, manipulated content was 9.86%, parody content was 3.22%, satire content was 2.31%, and connection content as many as 1.31%. This study then visualizes the results using bar charts and word clouds. This work also produced datasets with the naïve Bayes method of news data and news that has been valid. Afterward, the dataset will be used in making applications to produce prototypes of computer program applications.
Co-Authors Adrezob, Muhammad Airlambang, Dwiki Anita Muliawati Artika Arista Atika, Rifdah Diah Ayasha Zahwa Bambang Saras Yulistiawan Bambang Saras Yulistiawan Bambang Yuwono Bandiyani, Mia Setya Binti Mohamad, Mumtazimah Catur Nugrahaeni Puspita Dewi Deni Mahdiana Devi, Ramla Shantika DP, Catur Nugrahaeni Duma Lumban Tobing Fikastiana Cahya Firyal, Hana Hananto, Bayu Helena Nurramdhani Irmanda Hesti Indriana, Intan Husna, Kholifatul I Wayan Widi Pradnyana I Wayan Widi Pradnyana Indriasari, Vini Intan Hesti Indriana Intan Hesti Indriana Kamila, Alya Hasna Keka, Christyani Rannu Kesuma, Lucky Indra Kraugusteeliana Kraugusteeliana Kusumawardhani, Damar Lomo Mula Tua Luthfi Jatmiko Nugroho Mardiah Matondang, Nurhafifah Maulita, Wike Mawar Melly Kristanti Mirza Rabbani Kobandaha Muhammad Adrezo Muliawai, Anita Nadia Mustika Sari Naraloka, Therezia Naturesa, Ferena Titan Noor Falih Nurramdhani, Helena Pankrasius Aryo Wicaksono Pinastika, I Wayan Rangga Putra Arianto Putri, Jasmin Maula Rahmawan, Fauzan Ahmat Ramadhani, Nadya Rudhy Ho Purabaya Saputra, Rezi Sephira, Qinthara Sharhana, Masayu Heppy Siahaan, Sekar Griselda Nadine Siti Khusnul Khotimah, Siti Khusnul Supriyanto Susramae, I Gede Sutomo, Muhammad Syamsiar, Syamsiar Tambun, Kraugusteeliana Theresiawati Tjahjanto , Tahjanto Tjahjanto Tjahjanto Tjahjanto, Tjahjanto Tri Rahayu Tri Rahayu Tri Rahayu Tri Rahayu Tri Wahyono , Bambang Triyanto, Alzidan Arif Uli, Tresia Shinta Wahyuni, Yosha Putri Widiastiwi, Yuni Widya Cholil Wijayanti Mulia, Dina Mukti Wirawan, Rio Yosef Adityanto Aji Yulistiawan, Bambang Saras Yulnelly Yulnelly Yulnelly Yulnelly Yulnelly, Yulnelly Yuniar, Erina Zaidiah, Ati