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All Journal TEKNIK MEDIA KOMUNIKASI TEKNIK SIPIL REKA RACANA Jurnal Sisfokom (Sistem Informasi dan Komputer) Transparansi Jurnal Ilmiah Ilmu Administrasi Journal of Information Systems and Informatics Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Vokasi Indonesia Dinamika Teknik Sipil: Majalah Ilmiah Teknik Sipil
Wibowo, Mochamad Agung
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Automatic Detection of Cyberbullying on Text, Image, and Video: A Systematic Literature Review Fitro, Achmad; Wibowo, Mochamad Agung; Widodo, Catur Edi
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 01 (2026): JANUARY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i01.2542

Abstract

This study presents a systematic literature review (SLR) on the automatic detection of cyberbullying across multiple media modalities, including text, images, and videos, between 2020 and 2025. Unlike previous SLRs that focused only on textual or unimodal data, this research provides a comprehensive synthesis of multimodal approaches that integrate linguistic, visual, and audiovisual cues. Using the PRISMA framework, 4,272 records were screened, resulting in 120 studies for full analysis. The findings reveal a sharp increase in publications in 2025, driven by advances in large language models (LLMs), multimodal transformers, and heightened global attention to online safety. Quantitatively, 69% of studies focused on text-based detection, 21% on multimodal (text-image), and 10% on video-based approaches. NLP, CNN, SVM, BERT, and LSTM remain the most commonly used models, while emerging hybrid frameworks (e.g., ResNet–BiLSTM) show promising performance. Previous studies were often limited by real-time detection capabilities, fairness concerns, and lack of explainable AI. This SLR addresses those gaps by synthesizing methodological trends, highlighting ethical challenges, and identifying opportunities for future integration of explainable and human-centered AI. The practical implication of this study lies in providing a structured reference for researchers, policymakers, and social media platforms to design fair, transparent, and adaptive cyberbullying detection systems.
Multimodal Implicit Sentiment Analysis for Tourism Development: A Systematic Literature Review Sipayung, Yoannes Romando; Wibowo, Mochamad Agung; Sanjaya, Ridwan
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1436

Abstract

This study aims to examine the application of multimodal approaches in implicit sentiment detection within the tourism sector to support data-driven digital development strategies. This review identifies prevailing trends, methodologies, datasets, and scientific novelties in multimodal sentiment analysis capable of capturing hidden emotions, such as sarcasm and ambiguity, in tourist reviews. Using a systematic literature review approach, ten core studies published between 2020 and 2025 were analyzed to identify prevailing research trends, dominant methodological frameworks, commonly used datasets, and emerging scientific contributions. Results demonstrate that multimodal deep learning models—particularly those employing attention-based fusion and contrastive learning—consistently outperform unimodal approaches in recognizing nuanced tourist emotions that are not explicitly stated in text. Despite these advances, the review reveals a significant gap in tourism-specific and Indonesian-context studies, as well as an overreliance on general-purpose social media datasets. This review provides a conceptual and methodological foundation for implementing multimodal implicit sentiment analysis in tourism decision-making systems, enabling destination managers and policymakers to develop early warning mechanisms for tourist dissatisfaction, enhance destination quality assessment, and support more targeted and sustainable tourism development strategies.
Co-Authors Al Fath, Ade Achmad Arif Hidayat Asri, Maulida Catur Edi Widodo Cobantoro, Adi Fajaryanto Danang Wahyu Widodo Ferry Hermawan Fitrianto, Taufiq Fitro, Achmad Gregorius Anung Hanindito Herwindiaty, Dyah Erny Islami, Rizky Citra Jati Utomo Dwi Hatmoko Jati, Nugroho Wahyu Kristiani, Frida Novrizal, Dedi Prasetio, Riki Ridwan Sanjaya Sari, Endah Murtiana Sholeh, Moh Nur Uda, Subrata Aditama K. A. Undayani Cita Sari Wahid, Sifa Nur Yoannes Romando Sipayung Zein, Ahmad Rifqy