<![CDATA[Digital transformation in Indonesia's public sector faces a dual challenge: technical infrastructure vulnerabilities and a crisis of public trust due to recurring cyber incidents. This study aims to empirically test whether the level of technical vulnerability in government systems correlates linearly with the intensity of public negative sentiment (public distrust). Using a mixed-method approach, this research combines passive security audits (Passive Reconnaissance) based on Open Source Intelligence (OSINT) on 30 government domains (.go.id) and sentiment analysis based on Large Language Models (LLM) on 55,451 social media comments. The results reveal a counterintuitive finding of no significant correlation between technical vulnerability and public distrust (Pearson ). Data analysis uncovered a "Reputation Paradox," where agencies with critical vulnerability scores exhibited low negative sentiment, whereas agencies with seemingly secure technical profiles faced the highest levels of distrust. This study concludes that public perception of security is driven by service availability and User Experience (UX) rather than technical cybersecurity parameters.]]>
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