Strategic Recovery and Institutional Resilience in Digital Asset Exchanges: The Indodax Case Study and the S3-Resilience Model

This study examines institutional resilience and strategic recovery dynamics of Indodax following a cyber security incident in September 2024. The research aims to evaluate the effectiveness of the recovery process using the S3-Resilience Model framework, focusing on the interplay between operational speed, financial solvency, and public sentiment. This study employs a descriptive-analytical mixed-method case study approach, integrating both qualitative and quantitative data. Data were gathered from reconstructed market events, publicly accessible blockchain records, and official institutional disclosures. The analysis was conducted by applying the S3-Resilience Model conceptual framework, integrating three main pillars: Speed, Solvency, and Sentiment. Quantitative metrics such as the Crisis Shock Coverage Ratio (CSCR) and V-Shaped Recovery patterns in trading activity were used to validate the resilience indicators. The findings reveal a high degree of systemic resilience, evidenced by service restoration within 80 hours, significantly below the industry average. Transparency was maintained through the publication of Proof of Reserve amounting to Rp11.5 trillion with a CSCR of 34x. Market response remained positive, indicated by net positive fund inflows and a swift return to normal trading volumes. The Indodax case demonstrates that institutional resilience in digital asset exchanges depends on a balanced integration of technical readiness and transparent financial accountability. The study concludes that the S3-Resilience Model is a viable framework for managing systemic risks and maintaining market trust during high-impact cyber crises.