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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Mhd.Furqan
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Computer Science & IT Industrial & Manufacturing Engineering

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Journal : Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer

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Analisis Sentimen Masyarakat terhadap Penggunaan Teknologi AI dengan Metode Machine Learning Nur Aisyah Pandia; Putri Ramadani; Saprina Putri Utama Ritonga; Fatwa Aulia; Mhd.Furqan
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1198

Abstract

This study discusses public perceptions of the increasingly widespread use of machine-based technology in everyday life. One approach to understanding this perception is through sentiment analysis conducted on public opinion on social media. Using machine learning methods, this study classifies public sentiment into three categories: positive, negative, and neutral. Data was collected through the Twitter social media stage and processed using the CRISP-DM approach. Three algorithms were used in the classification, namely Bolster Vector Machine (SVM), Credulous Bayes, and Choice Tree. The evaluation results showed that SVM provided the highest accuracy in classifying sentiment data. The majority of public opinion was neutral, but there were concerns regarding social and ethical impacts. This study contributes to a general understanding of public perceptions of machine-based technology that are increasingly dominating various sectors.
Co-Authors Fatwa Aulia Muhammad Hanafi Nur Aisyah Pandia Puji Sri Alhirani Putri Ramadani Saprina Putri Utama Ritonga Tengku Syahvina Rival Dini