Rini Hidayati

Satellite radiance data assimilation for rainfall prediction in Java Region

This study examined the influence of satellite radiance data assimilation for predicting two days of heavy rainfall in the Java region. The first case occurred from 22 to 23 on January 2015 while the second case occurred from 1 to 2 on February 2015. The analysis examined before and after data assimilation in the two cases study. The Global Forecast System (GFS) data were used as initial condition which was assimilated with several data such as surface observation data, radiance data from AMSUA sensor, radiance data from HIRS sensor, and radiance data from MHS sensor. Weather Research and Forecasting Data Assimilation (WRFDA) is a tool which is used in this study for assimilating process with Three Dimensional Variation (3D-Var) method. The Quantitative Precipitation Forecast (QPF) skill was used to evaluate influence data assimilation for rainfall prediction. The result of the study obtained different rainfall prediction with different data assimilation. In general, the surface observation data assimilation has lower QPF skill than the satellite radiance data assimilation. Even thought radiance data assimilation has slightly contribution on rainfall prediction, but it gave better accuracy on rainfall prediction for two heavy rainfall cases.

PENYUSUNAN METODE PENENTUAN INDEKS KERAWANAN WILAYAH DAN PEMETAAN WILAYAH RENTAN PENYAKIT DEMAM BERDARAH DI INDONESIA

Indicators of mother and child survivalship generally has been accepted as an indicator of MMRatio, U5MR including IMR. Those indicators are reflecting the health status as stated in the Healthy Indonesia 2010 and Millennium Development Goals (MDGs). The benefit of this survey is to support evidence based data as a basic policy to reduce MMRatio and U5MR. The objective of this survey was to identify mortality status and also the cause of death in Sukabumi people. The survey design was cross sectional, the sample was all mothers who have been delivered and lived in Puskesmas study area in Sukabumi District area. The number of sample was 3008 household member interviewed. The result of IMR in Sukabumi 2006 was 45.7 per 1000 LB while the U5MR ways 59 per 1000 LB. The highest proportion of causes of death was cardiovascular system that is 18 percent, then, that of digestive system 9 percent. The recommendation is strengthening of midwives role in village and in Puskesmas, so that everydelivery can be assisted by health providers. Intensive education to reduce mortality cause by cardiovascular system is also necessary. Keywords: Mortality status, cause of death.