Analisis Sentimen Kolom Komentar TikTok akun @holopis.com terhadap Isu Kekerasan Anak di Daycare Yogyakarta

Anindya Faisa Putri Wiyandina (Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Brawijaya)
Royyan Dhaydhabban (Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Brawijaya)
Gladis Kinanthi Herdyana Putri (Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Brawijaya)
Ardini Dyah Puspitaningtyas (Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Brawijaya)
Antony Caprio Russy Merang (Ilmu Komunikasi, Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Brawijaya)

Jurnal Ilmu Komunikasi dan Sosial Politik
Vol. 3 No. 4 (2026): April - Juni

The transition of childcare functions to daycares in urban areas has created widespread public anxiety due to cases of child abuse. This study aims to analyze the distribution of public sentiment on TikTok regarding the child abuse case at a daycare in Yogyakarta using text mining methods. Data collection was conducted via web scraping using the Zeeschuimer extension, yielding a corpus of 505 user comments from a viral video. Data was analyzed computationally using Orange Data Mining. The results show a total dominance of negative sentiment at 93.85% (474 comments), with a heavy concentration below a score of 10 (86.93%). Neutral sentiment accounted for 3.56% (18 comments), and positive sentiment sat at 2.57% (13 comments). Theoretically, the TikTok comment section functions as a digital pillory, where netizens collectively enforce moral sanctions. This study proves that new media algorithms can shift personal anxiety into a massive public agenda that demands legal accountability.