Paper Jurnal Ilmiah

Journal Paper: System Dynamics Modeling and Sentiment Analysis for Economic Resilience

Published on Jun 15, 2026 • 146 Views

Indexed scientific paper exploring multi-sectoral system dynamics combined with NLP sentiment analytics for economic shock mitigation and policy forecasting.

Bandung, June 15, 2026 — Research scholars from SSBDA Lab SBM ITB published a comprehensive peer-reviewed journal paper in indexed international scientific proceedings (Scopus Q1).

The paper introduces an innovative hybrid framework that couples real-time social media natural language sentiment processing with macro-system dynamic feedback loops. The study provides empirical evidence on how public sentiment shifts directly impact economic recovery velocity during post-crisis transitions.