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Engagement–sentiment gap analysis of tiktok skincare content using IndoBERT: a comparative study of random forest and XGBoost Dwita Amalia Rizki; Andy Prasetyo Utomo; Zainur Romadhon
Journal of Soft Computing Exploration Vol. 7 No. 3 (2026): September 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i3.212

Abstract

Social media platforms, particularly TikTok, have become important sources of consumer-generated information that influence product awareness and purchasing decisions in the skincare industry. However, audience engagement metrics alone cannot fully explain audience perception because highly engaging content does not always receive positive responses from users. This study aims to propose and evaluate an Engagement–Sentiment Gap framework that integrates audience interaction and audience perception to provide a more comprehensive evaluation of TikTok skincare content than conventional sentiment analysis or engagement-based approaches. A dataset comprising 20,688 comments and metadata from 603 TikTok videos across ten skincare-related topics was collected through web scraping. After text preprocessing, sentiment classification was performed using a fine-tuned IndoBERT model, followed by video-level sentiment aggregation, engagement score calculation, Engagement–Sentiment Gap categorization, and engagement-level prediction using Random Forest and XGBoost. The results showed that neutral sentiment dominated the discussions (72.5%), while audience sentiment exhibited a statistically significant but weak positive correlation with engagement (r = 0.2283, p < 0.001). Random Forest achieved the best predictive performance, with 65.27% Balanced Accuracy and 68.74% ROC-AUC, while topic was identified as the most influential predictive feature. These findings demonstrate that integrating sentiment and engagement within the proposed framework provides richer insights into audience behavior and content performance than evaluating engagement or sentiment independently, offering a practical analytical approach for social media content evaluation.
Strengthening Literacy and Broadcasting Skills of Individuals with Visual Impairments through the Broadcast Braille Book Much Arsyad Fardani; Siti Masfuah; Fina Fakhriyah; Zainur Romadhon
Jurnal Panjar: Pengabdian Bidang Pembelajaran Vol. 6 No. 1 (2026)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/panjar.v6i1.63084

Abstract

Inclusive education requires accessible learning media for persons with visual impairments. This community engagement program aimed to strengthen literacy, speaking, and public-speaking skills through Broadcast Braille Book. The program was conducted at PPS Pendowo Kudus using a participant active learning–project oriented approach involving teachers and beneficiaries. The activities included needs analysis, training, mentoring, media development, implementation, and evaluation. Broadcast Braille Book integrates Braille text, audio, and QR codes linked to instructional videos. The evaluation involved 15 teachers and 29 beneficiaries. The results showed that 24 beneficiaries (82.7%) experienced improved literacy skills, while 22 beneficiaries (75.8%) improved their speaking and public-speaking skills. In addition, 13 teachers (86.6%) improved their technological pedagogical competence, and 25 beneficiaries (86.2%) were able to use the media effectively. These results indicate that Broadcast Braille Book can support accessible learning, literacy development, communication skills, and learning independence among persons with visual impairments.