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All Journal TEKNIK INFORMATIKA Jurnal Simetris Speed - Sentra Penelitian Engineering dan Edukasi CESS (Journal of Computer Engineering, System and Science) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Network Engineering Research Operation [NERO] Jurnal Komtika (Komputasi dan Informatika) JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Adimas : Jurnal Pengabdian Kepada Masyarakat KOMPUTEK Journal of Information Systems and Informatics GANESHA: Jurnal Pengabdian Masyarakat NERO (Networking Engineering Research Operation) Jurnal ilmiah teknologi informasi Asia
Mohammad Bhanu Setyawan
Universitas Muhammadiyah Ponorogo
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Journal of Information Systems and Informatics

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Hoax News Analysis for the Indonesian National Capital Relocation Public Policy with the Support Vector Machine and Random Forest Algorithms Aang Kisnu Darmawan; Mohammad Waail Al Wajieh; Mohammad Bhanu Setyawan; Tri Yandi; Hoiriyah Hoiriyah
Journal of Information System and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i1.438

Abstract

The decision of the Indonesian government to relocate the nation's capital outside Java to the North Penajam Paser Regency has sparked controversy and misinformation on social media platforms. While sentiment analysis studies have been conducted on this topic, no research has yet analyzed the issue of hoaxes related to the relocation of the national capital. This study aims to fill this gap by analyzing hoaxes related to the relocation of the Indonesian national capital on Twitter. The study utilizes data crawling, filtering with Hoax Booster Tools (HBT) ASE, data labeling, preprocessing, and TF-IDF weighting. The data is then classified using Support Vector Machine (SVM) and Random Forest (RF) algorithms, and the results of both algorithms are compared. The study found that 85% of tweets had a positive sentiment and 15% had a negative sentiment. Furthermore, the SVM algorithm outperformed the RF algorithm with an accuracy of 95.24% compared to 86.90%. This study contributes to the understanding of the hoax issues related to the relocation of the Indonesian state capital and provides recommendations for government policies to address community concerns.
Co-Authors ., Sugianti Aang Kisnu Darmawan Agustin, Nely Dwi Angga Prasetyo Angga Prasetyo Arief Rahman Yusuf Aslan Alwi Cobantoro, Adi Fajaryanto Cobantoro, Adi Fajaryanto DWI RAHMAWATI Fauzan Fasykur Fauzan Masykur Hardiyan Oktavianto Hoiriyah, . Ida Widaningrum, Ida Ismail Abdulrazzaq Zulkarnain Jamilah Karaman Karaman, Jamilah Kuntang Winangun Miftahudin Agung Budi Wibowo Mita Bela Franciska Mohammad Waail Al Wajieh Munirah Munirah Nurfitri, Khoiru Permana Putra, Angga Dian Prasetyo, Angga Sugianti, Sugianti Sussolaikah, Kelik Tri Yandi Zulkarnain, Ismail Abdurrozaq