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All Journal Jurnal ULTIMATICS
Bakti Amirul Jabar
Computer Science Departement, School of Computer Science, Bina Nusantara University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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COVID-19 Fake News Detection With Pre-trained Transformer Models Bakti Amirul Jabar; Seline Seline; Bintang Bintang; Cameron Jane Victoria; Rio Nur Arifin
ULTIMATICS Vol 14 No 2 (2022): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v14i2.2776

Abstract

COVID-19 is a new virus that first appeared in the year 2020 and is still currently plaguing our world. With the emergence of this virus, much information, both fake and real, has circulated in the internet. Fake information can lead to misleading information and cause a riot in society. In this paper, we aim to build a hoax detection system using the pre-trained transformer models BERT, RoBERTa, DeBERTa and Electra. From these four models, we will find which model gives the most accurate results. BERT gives a validation accuracy of 97.15% and test accuracy of 97.01%. RoBERTa gives a validation accuracy of 97.34% and test accuracy of 97.15%. DeBERTa gives a test accuracy of 97.48% and a test accuracy of 97.25%. Lastly, Electra gives a validation accuracy of 97.95% and a test accuracy of 97.76%. Electra is one of the newer models and is proven to be the most accurate model in our experiment and the one we will choose to implement fake news detection.
The Social Impact of VR Technology on Society: A Systematic Literature Review Bakti Amirul Jabar; Millia Azmi; Graciel Hernando; Jurike V Moniaga; Angelique Aurielle Alpaullivarez
ULTIMATICS Vol 14 No 2 (2022): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v14i2.2778

Abstract

Humans are social creatures who usually interact directly. But as technology develops, interactions also use the technology. One of the many popular technologies in the 4.0 era is VR technology. An example of this technology is the metaverse, a combination of the real and virtual worlds. This paper presents a research review to analyze the social impact of Virtual Reality: technology with metaverse. This paper uses a systematic literature review (SLR) as the method. The research was conducted based on the RQ that had been made. There are 18 related articles generated from the search, then reviewed. This study concludes that Social VR has three impacts: Social Presence Illusion, Virtual Embodiment, and the Proteus Effect. In addition, we also explain the ways to create a safe social VR environment, such as by playing with family and friends, educating the public about VR technology, and suggesting that the platform provides an age limit for playing in a VR environment.
Co-Authors Angelique Aurielle Alpaullivarez Bintang Bintang Cameron Jane Victoria Graciel Hernando Jurike V Moniaga Millia Azmi Rio Nur Arifin Seline Seline