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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Jurnal Informasi dan Komputer JSAI (Journal Scientific and Applied Informatics) Journal of Applied Data Sciences Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS SWAGATI: Journal of Community Service
Sukmawati Anggraeni Putri, Sukmawati Anggraeni
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Social Sciences Other

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Journal : JSAI (Journal Scientific and Applied Informatics)

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Sistem Cerdas Deteksi Tindak Kekerasan Untuk Pengawasan Perundungan Dengan Model Deep Learning Putri, Sukmawati Anggraeni; Rifai, Achmad; Nawawi, Imam
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6451

Abstract

Bullying in schools is a severe problem that has both short- and long-term harmful implications for victims. However, surveillance of bullying, particularly acts of violence such as kicking, pushing, and striking at school, remains inadequate. Using Artificial Intelligence is one of the recommended solutions for detecting incidents of aggression in video footage. Deep learning methods, specifically Convolutional Neural Network and Long Short-Term Memory, are used in this study to construct Artificial Intelligence for detecting acts of aggression. The model can achieve an average accuracy of up to 92%. Based on these accuracy results, the model can be implemented into online intelligent applications. It is envisaged that sophisticated software that detect such acts of aggression will be effective in monitoring bullying incidents and reducing the number of bullying cases in schools.
Co-Authors ACHMAD RIFAI Dewi Anggraini Dewi Larasati, Dewi Dinar Ismunandar Dwiantoro, Tino Gata, Windu Imam Nawawi, Imam Kartika Handayani Laela Kurniawati, Laela Lilyani Asri Utami, Lilyani Asri Marsuyitno, Marsuyitno Melati Melati Moch Arief Soeleman, Moch Arief Oktaviana , Shinta Oktaviana R, Shinta Pulung Nurtantio Andono Purwanto Purwanto Utami , Lilyani Asri