ANALISIS SENTIMEN DAN EMOSI PADA JUDUL BERITA ONLINE TENTANG IMPOR BBM OLEH SPBU SWASTA MELALUI PERTAMINA DENGAN PENDEKATAN LEXICON NRC EMOLEX

Authors

  • Ahmad Khambali Universitas Muhammadiyah Pekajangan Pekalongan
  • Eka Syahrul Afrian Universitas Muhammadiyah Pekajangan Pekalongan
  • Aslam Fatkhudin Universitas Muhammadiyah Pekajangan Pekalongan

DOI:

https://doi.org/10.48144/neraca.v22i1.2463

Keywords:

Sentiment Analysis, Emotion Detection, Fuel Imports, Media Journalism, NRC EmoLex

Abstract

This study analyzes public sentiment and emotional dynamics related to the issue of “Pertamina Fuel Imports” across 1,429 online news headlines (December 2024 - November 2025). To address the absence of a standard corpus, this research developed a custom Indonesian-language lexicon in the energy domain to identify sentiment more accurately and contextually. The analysis results indicate a dominance of neutral coverage (86.35%), followed by negative (13.37%) and positive (0.28%) sentiment. In emotionally charged news, negative sentiment is highly dominant, with the frequency of emotions ranked as follows: anger (129), disgust (112), sadness (80), and fear (71), in stark contrast to the minimal presence of trust (5). Emotional trends shifted from anger related to issues of institutional integrity in the first half of 2025 to sadness and fear due to the tangible impact of fuel shortages in the second half of 2025. Statistical testing found no significant correlation between news volume and the proportion of negative sentiment (r = 0.2081; p > 0.05), confirming that public negativity is driven by the substance of the issue rather than the quantity of news coverage. As a practical implication, media outlets are encouraged to adopt solution-oriented journalism. The use of objective diction and data-driven narratives is crucial to reduce speculation, lower fear-related emotions, and rebuild public trust.

 

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Published

2026-06-30

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