Public Sentiment Toward Rupiah Redenomination on Social Media X

The redenomination of the Indonesian Rupiah, proposed to convert Rp1,000 into Rp1 without changing purchasing power, has triggered various public reactions across digital platforms. Understanding public sentiment on this monetary reform is essential to anticipate acceptance challenges and communication needs. This study investigates public opinion on the redenomination discourse by analyzing 1,077 tweets collected from Social Media X. A hybrid sentiment-analysis approach was employed, combining IndoRoBERT-based automatic sentiment labelling and Support Vector Machine (SVM) classification with TF-IDF features. The sentiment distribution indicates a dominant negative perception toward redenomination, followed by neutral and positive responses. The SVM model achieved an accuracy of 0.57, with strong recognition of negative sentiment but notable difficulty in distinguishing neutral expressions, reflecting linguistic subtleties in public discussions. These findings suggest public skepticism and uncertainty surrounding the policy, emphasizing the importance of clear governmental communication to mitigate misconceptions and reduce psychological resistance. Future work may incorporate manual annotation, fine-tuned transformer models, and cross-platform data sources to enhance sentiment-classification performance and provide deeper understanding of socio-economic narratives in monetary policy transitions.

Keywords: Rupiah redenomination, sentiment analysis, Social Media X, IndoBERT, Support Vector Machine