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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.
Local Inflow Analysis of Jatiluhur Reservoir with HEC-HMS Novrizal, Dedi; Hermawan, Ferry; Wibowo, Mochamad Agung; Nasution, Ifan Azwar
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 28, Nomor 2 (2022)
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v28i2.47912

Abstract

Inflow in Jatiluhur Reservoir located on the Citarum River is influenced by outflow from Cirata Reservoir and Saguling Reservoir which are above it. These three reservoirs are incorporated in the Citarum Cascade System Reservoir. This inflow analysis is related to the availability of water in the Jatiluhur Reservoir, which is a multi-purpose reservoir, which then becomes the mainstay of the water supply as a hydropower operation pattern. Runoff rain modeling using HEC-HMS software using data on rainfall, temperature, land cover, soil type and topography. Parameters generated from observation and modeling are coefficient of determination (R2), Nash-Stuclift (NSE), and Percent Bias (PBIAS). The results of the case study show that the parameters of the observed local inflow (R2: 0.693; NSE: 0.525; PBIAS: 9.88%) with data sources from the Jatiluhur Reservoir manager are better than the local inflow analysis results (R2: 0.533; NSE: - 0.457; PBIAS: 48.88%) with data sources from water level (TMA). Meanwhile, the total inflow of observations (R2: 0.982; NSE: 0.973; PBIAS: 1.14%) with data sources from the Jatiluhur Reservoir manager is better than the total inflow analysis results (R2: 0.932; NSE: 0.889; PBIAS: 9.43 %) with the data source from the water level (TMA).
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 Nasution, Ifan Azwar Novrizal, Dedi Prasetio, Riki Ridwan Sanjaya Sari, Endah Murtiana Sholeh, Moh Nur Uda, Subrata Aditama K. A. Undayani Cita Sari Wahid, Sifa Nur Zein, Ahmad Rifqy