<![CDATA[Water infrastructure construction in dense urban environments like Tukad Badung, Denpasar, faces severe operational uncertainty due to weather anomalies. Nonlinear interactions between rainfall, machinery productivity, and labor performance frequently cause schedule delays and cost overruns. This study develops a system dynamics model for adaptive time and cost control in river flood infrastructure projects. Using an exploratory sequential mixed-method design, qualitative expert interviews were transformed into Causal Loop Diagrams (CLD) and quantitative Stock and Flow Diagrams (SFD). Model validation against historical progress data yielded a Mean Absolute Percentage Error (MAPE) of 4.85%, supported by dimensional consistency, extreme-condition, and behavior reproduction tests. Baseline simulations under projected 2026 rainfall indicated a 12-day project delay and a 5.2% cost variance. Policy scenario analysis revealed that the "Scheduled Working Hour Optimization" strategy performed best among tested options, achieving timely completion (SPI = 1.00) with a minimal cost variance of 2.1% (final CPI = 0.98). Conversely, reactive workforce addition caused severe cost overruns of 8.0% (final CPI = 0.92) due to site crowding. System dynamics modeling provides project managers with a robust, proactive framework to mitigate climate-induced operational risks in riverine construction environments.]]>
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