Indonesia has developed new seismic building code based on risk-targeted ground-motions adopting 1 % probability of building collapse in 50 years. The new seismic design criterion, which is presented in the code, have combined both seismic hazard and building fragility. For performance-based analysis of high-rise buildings, a complex non-linear time-history analysis is needed. This paper presents results of study on development of the time-history with emphasing on procedure of developing pairs of time-history at ground surface for spesific site in Jakarta with reference to 2012 International Building Codes and ASCE-SEI-7-10. The study involves generation of time-history from reference base-rock through site-response analysis to ground surface. Development of time-history at ground surface with a procedure involving Square Root of the Sum of the Square method (SRSS) in order to reasonably scaled time-histories through spectral matching technique is presented herein. The matched time-histories are developed from various strong-motion records representing different earthquake sources dominant to control the site evaluated from de-aggregation within seismic hazard analysis. This work also adopts baseline corrections in which velocity and displacement components of matched time-histories can be drifted to zero at the end of recorded seismic time.

An empirical fatality model for Indonesia has been developed by relating the macroseismic intensity to the fatality rate using compiled sub-district level fatality rate data and the numerically simulated ground-shaking intensity for four recent damaging events. The fatality rate data were compiled by collecting population and fatality statistics of the regions affected by the selected events. The ground-shaking intensity was numerically estimated by incorporating a finite-fault model of each event and local site conditions approximated by topographically based site amplifications. The macroseismic intensity distribution of each event was generated using ShakeMap software, combining a selected pair of ground motion prediction equations and ground motion to intensity conversion equations. The developed fatality model is a Bayesian generalized linear model in which the fatality rate is assumed to follow a mixture of Bernoulli and gamma distributions. The model was validated by calculating the fatalities in past events from the EXPO-CAT catalogue and comparing the estimates with the EXPO-CAT fatality records. Although the model can provide an estimate of the range of fatalities for future events, it needs ongoing refinement by the incorporation of additional fatality rate data from past and future events.