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All Journal Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Romana Herlinda
Prodi S-1 Informatika, Universitas Respati Yogyakarta, Indonesia
Computer Science & IT Control & Systems Engineering Engineering Mechanical Engineering Other

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Re-Fake: Klasifikasi Akun Palsu di Sosial Media Online menggunakan Algoritma RNN Putra Wanda; Marselina Endah Hiswati; Mohammad Diqi; Romana Herlinda
Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (SENASTINDO) Vol 3 (2021): Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo)
Publisher : Akademi Angkatan Udara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.653 KB) | DOI: 10.54706/senastindo.v3.2021.139

Abstract

Online Social Network (OSN) is an application that enables public communication andinformation sharing. However, fake accounts on OSN can spread false information with unknown sources. It is a challenging task to detect malicious accounts in a large OSN system. The existence of fake accounts or unknown accounts on OSN can be a serious problem in maintaining data privacy. Various communities have proposed many techniques to deal with fake accounts on OSN, including rules-based black-and-white techniques to learning approaches. Therefore, in this study we propose a classification model using RNN to detect fake accounts accurately and effectively. We carried out this research in several steps, including collecting the dataset, pre-processing, extraction, training our model using RNN. Based on the experimental results, our proposed model can produce higher accuracy than conventional learning models.
Co-Authors Marselina Endah Hiswati Mohammad Diqi Putra Wanda