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All Journal Journal of Information System JOIV : International Journal on Informatics Visualization Jurnal EMT KITA Jurnal Ilmiah Matrik JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Informatik : Jurnal Ilmu Komputer SEINASI-KESI JISA (Jurnal Informatika dan Sains) International Journal of Educational Research and Social Sciences (IJERSC) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Pendidikan West Science International Journal of Enterprise Modelling ABDIKOM Jurnal Sistem Informasi dan Aplikasi KOMPUTASI
Wirawan, Rio
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Journal : JOIV : International Journal on Informatics Visualization

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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 Aan Rahman Adianta Sebayang, Adianta Agustanti, Rosalia Dika Agustina, Teni Agustina Ahmad Rais Ruli Aisyah, Nurul Aisyah Alsen Medikano Andriawan, Deden Anita Muliawati Ariani, MB Nani Arief Yanto Rukmana Artika Arista Asep Astutik, Yulia Asyibli, Prajka Ramadhani Asy Aulia, Wan Syafiyya Inayah Azis Sofian Bambang Waluyo Bilgah, Bilgah Catur Nugrahaeni Puspita Dewi Damayanti, Sekar Ayu Dewi, Milla Rosiana DODY KURNIAWAN Erly Krisnanik Fiqih Ismawan Fricilla, Regina Givan, Bryan Hananto, Bayu Henki Bayu Seta Herlina Jayadianti Husain, Ahmad Indra Permana Solihin Jayanta Jayanta Khafanova, Widya Kraugusteeliana Kraugusteeliana Lawi, Arwin Lukman Hakim Mardani, Ichsan Matondang, Nur Hafifah Maulana, Chyntia Indah MB Nani Ariani Mohamad Bayu Wibisono Mu'tashim, Muhammad Labib Muhammad Adrezo Muhammad Tri Habibie Muhayat, Toni Musyaffa, Ramzy Nizhomul Haq, Haris Nugroho, Irwan Setyo Dwi Nurul Aisyah Oktafiani, Santi Pradana, Esti Praditya, Muhammad Rifqi Pratama, Ariyanto Candra Priono, Hendro Priyono, Hendro Putra, Naufal Rizki Rais Ruli, Ahmad Rianasari, Deby Ridwan Raafi'udin Riswanto, Heri Ruth Mariana Bunga Wadu Sipahutar, Nathanael Boan Tua Subroto, Desty Endrawati Sulaiman, Han sumartono, ricky pramudita Supriandi Supriandi, Supriandi Susan Rachmawati Syah Putra, Arman syibli, Prajka Ramadhani Asy Tjahjanto, Tjahjanto Tri Rahayu Triana, Meina Noor Triwahyono, Bambang Wahyono, Bambang Tri Widya Khafa Nofa Yuli Astuti Yulistiawan, Bambang Saras Yursaldi, Evan Zaki, Hanan Nadia