Judul: Pengembangan Perangkat Lunak Pembangkit Data Cuaca Harian dari Data Satelit TRMM 3B42 Harian dan Data Digital Elevation Model (DEM) SRTM.
Abstrak: Meteorology research activities in Indonesia have problem about weather data. Weather data is hard to be obtained because of the lack of meteorology stasion in Indonesia. Weather data generation can be done by using satellite data. One of The Tropical Measuring Mission (TRMM) satellite data that can be used for weather data generation is 3B42 daily containing global daily rainfall value (50o LU - 50o LS). Format of 3B42 daily files are netCDF. NetCDF reading needs some additional function because Ms. Visual Basic 6 does not provide functions to read and write netCDF data. Functions of netCDF reading and writing can be gained from Dynamic-Link Library (DLL) file which is from Unidata. Functions in DLL file that is used are nc_open, nc_inq_dimid, nc_inq_dimlen, nc_inq_varid, nc_get_var _double, nc_close. Array variable will be come out as the result of netCDF reading using functions of netCDF reading. The array variable has two dimensions (longitude and latitude) containing rainfall values in mm/day. The array variable can be processed into ready used spatial data and time series data. Those data and elevation data (DEM SRTM) can generate other weather data such as sun shine duration, radiation, minimum temperature, maximum temperature, mean temperature, and relative humidity. The weather data generation is used empiric approach based on relationship among weather elements.
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Judul: Pengembangan Model Penduga Hujan Bulanan Menggunakan Data Satelit TRMM pada Tiga Pola Hujan di Indonesia
Abstrak: Rainfall is one of the atmosphere parameters which is quite difficult to predict because of its very high variability on space and time. The recent development of rainfall observation technology nowadays is using rainfall satellite. This satellite has near real time rainfall monitoring, wide coverage and fast access. In this study, climatological analysis of rainfall pattern, statistical analysis to evaluate and validate TRMM data using selected ground stations and TRMM data, development of correction factor for TRMM data and monthly rainfall prediction using ARIMA model, have been done in three regions with different rainfall pattern. Those areas are monsoonal pattern in Lampung, East Java and Kalimantan Selatan; equatorial pattern in North Sumatera and West Kalimantan; and local pattern in Maluku. The validation analysis showed very high correlation with the gauge data for monsoonal pattern area (>0.80), high correlation for equatorial (>0.60) and local pattern area (>0.75). Each pattern area has a correction equation. In general, the error of corrected TRMM data decreased for monsoonal, equatorial and local pattern. The model of monthly rainfall prediction has been developed for corrected TRMM data with 95% level significance. The verification of model showed high coefficient correlation (r) in local pattern and monsoonal pattern, but lower on equatorial pattern.
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Judul: Kawin Berulang Pada sapi, Kausa Kuman Aspesifik Dan Pengobatannya
Abstrak: Kawin berulang pada sapi betina adalah merupakan bantuk atau geja1a inferti1itas, dimana sapi-sapi yang menderita kawin beru1ang tersebut mempunyai siklus berahi yang normal atau hampir normal dan sudah dikawinkan dua ka1i atau 1ebih dengan pejantan atau semen pejantan fertil, tapi tetap belum bisa bunting. Pemeriksaan klinis terhadap sapi tersebut tidak memberikan gambaran tertentu yang dapat menerangkan kegaga1an konsepsi yang dialami (Roberts, 1971).
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