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All Journal Jurnal Informatika Jurnal Inspiration Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Paradigma Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JURNAL ILMIAH INFORMATIKA Jurnal Telematika Jurnal Informasi dan Komputer Jurnal Riset Informatika JISICOM (Journal of Information System, Infomatics and Computing) Journal of Electronics, Electromedical Engineering, and Medical Informatics INTI Nusa Mandiri Journal of Robotics and Control (JRC) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Sains Komputer dan Teknologi Informasi Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Jurnal Pengabdian Kreatif Cemerlang Indonesia Jurnal Aruna Mengabdi (ARMI)
Frieyadie
Universitas Nusa Mandiri
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Journal of Robotics and Control (JRC)

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HyVADSVM: Hybrid VADER-SVM and GridSearchCV Optimization for Enhancing Cyberbullying Detection Ernawati, Siti; Frieyadie, Frieyadie; Yulia, Eka Rini
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i1.24385

Abstract

Cyberbullying detection is becoming increasingly crucial in today’s digital era, as many individuals suffer from online harassment. The main challenge lies in accurately identifying patterns of harassment in social media texts, which often use informal languages, slang, and sarcasm. Existing methods struggle to capture emotional context owing to the vast amount of data and rapid digital interactions. This study aims to improve the detection accuracy by combining advanced sentiment analysis using VADER and parameter tuning with GridSearchCV. Data were collected from Instagram, Twitter, and YouTube, with TF-IDF employed for feature extraction. Multiple machine-learning classifiers (SVM, K-NN, NB, LR, DT, and RF) were tested to determine the best-performing model. VADER was selected for its reliability in processing social media texts rich in informal contexts, effectively capturing emotional nuances, such as sarcasm and varying sentiment intensities. This makes it well suited for complex language patterns typical of cyberbullying scenarios, enhancing data labeling and analysis accuracy. Using 10-fold cross-validation for reliable testing, performance metrics (accuracy, precision, recall, and F1-Score) were evaluated using a confusion matrix. The findings highlight SVM as the most effective model when optimized with GridSearchCV, achieving accuracy (98.83%), precision (98.78%), recall (98.83%), and F1-Score (98.62%) with kernel =linear, C=1, and gamma=scale. This optimized model, HyVADSVM model has significant potential in cyberbullying detection, contributing to academic research and serving as an effective tool to prevent online harassment. Future work could integrate this model into real-time systems, improve user safety, and support digital policymaking.
Co-Authors Achmad Bayhaqy Achmad Bayhaqy Ade Fitria Lestari Ade Priyatna Aditiya Yoga Pratama Agung Sudrajat Ahmad Baihaqi Angga Ardiansyah Anggie Andriansyah Anton Hindardjo Ari Puspita Asrul Sani Budiyantara, Agus Dedi Dwi Saputra Dedik Erwanto Deny Robyanto Dewi Alramuri Dian Ambar Wasesha Doharma, Rouly Dwiza Riana Eka Rini Yulia Eko Supriyanto Eni Heni Hermalani Eni Heni Hermaliani Ernawati, Siti Fachri Amsury Fajar Permadi Faldanu, Chaidir Rahman Fariati Fariati Febri Ainun Jariyah Frisma Handayanna Frisma Handayanna Gata, Windu Geby Oktaviani Hafifah Bella Novitasari Herlawati Herlawati Herlina Aryanti, Herlina Hilda Amalia Islamy, Faqih Thoriq Izni Nur Karimah Jordy Lasmana Putra Kaman Nainggolan, Kaman Khairunisa Hilyati Kristiana, Titin Laela Kurniawati Laela Kurniawati Lili Dwi Yulianto M. Daryono, Dadang Maryanah Safitri Mashyur, Riduan Syaiful Merliani Ivone Merliani Ivone S Muhamad Hasan Muhamad Ryansyah Muhammad Ifan Rifani Ihsan Muhammad Romadhona Kusuma Nita Merlina, Nita Nunung Hidayatun Nurajijah Nurajijah Nurmalasari Nurmalasari Rafly Pratama Rani Irma Handayani Rani Irma Handayani Rani Irma Handayani, Rani Irma Rezki, Muhammad Rizka Dahlia Rosadi Rosadi Samuel Samuel Sandra Jamu Kuryanti Setiyawan, Riki Sfenrianto, Sfenrianto Siti Aisyah Siti Fauziah Siti Fauziah Siti Fauziah Siti Nurdiani Sri Sri Hadianti SRI RAHAYU Sri Rahayu Suharyanto Suharyanto Sulistyowati, Daning Nur Surya Mahendra Ramadhan Syahriani Syahriani Titin Kristiana Titin Kristiana Titin Kristiana Tuti Haryanti Tuti Haryanti Tuti Haryanti Tuti Haryanti, Tuti Tyas Setiyorini Ummi Fatayat Virda Mega Ayu Warosatul Ilmiyah Windu Gata Windu Gata Windu Gata Yessica Fara Desvia