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Zero: Jurnal Sains, Matematika, dan Terapan
Article . 2025 . Peer-reviewed
License: CC BY SA
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Text Mining and News Sentiment Analysis of the PPRT (Domestic Worker Protection) Bill in Three Online News Media From 2004 to 2024

Authors: Kristiyani, Dian Novita; Department of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia; Mayopu, Richard Gordon; Department of Information Technology, Satya Wacana Christian University, Salatiga, Indonesia;

Text Mining and News Sentiment Analysis of the PPRT (Domestic Worker Protection) Bill in Three Online News Media From 2004 to 2024

Abstract

<p><span lang="EN-US">The Domestic Worker Protection Bill (RUU PPRT) has been a critical issue in Indonesia, yet its legislative process has stagnated for two decades, leading to intense public discourse. This study aims to analyze the sentiment and narrative dynamics of RUU PPRT news coverage in online media, as well as the media's role in shaping public opinion. Employing a Text Mining and Lexicon-Based Sentiment Analysis approach, enhanced with adaptations for the Indonesian lexicon, this research analyzes 387 news articles from three prominent online media outlets (Tempo, Kompas, and VOA News) published between 2004 and 2024. The findings reveal that positive sentiment dominates with 58.1%, followed by negative sentiment at 31.3%, and neutral sentiment at 10.6%. Tempo was identified as the most active media outlet covering this issue. </span><span class="ts-alignment-element"><span lang="EN-US">These results indicate that the mass media plays a significant role in shaping the pattern of public discourse regarding the PPRT Bill, particularly through the dominance of positive sentiment in its reporting and confirm that lexicon-based sentiment analysis can systematically capture the dynamics of complex socio-political narratives.</span></span></p>

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Keywords

PPRT Bill; Domestic Workers; Sentiment Analysis; Text Mining; Online Mass Media

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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