Judul: Pengembangan model pemrograman paralel pada kalibrasi data untuk rekonstruksi data curah hujan
Abstrak: In the field of climatology with the long-term period, the Regional Climate Mode version 3 (RegCM3) is a model of spatially oriented and able to produce regionalscale information that can be used to forecast rainfall. However, the data RegCM3 is a model of mathematics and physics and not based on real observations. Therefore, it is necessary to calibrate the model RegCM3 based observation points to reconstruct the rainfall data. Because of the large number of RegCM3 and observation points, the process requires a large number of resources for computing and computational time also. Therefore we need a technique to reduce computational time. One way to solve this problem is to use parallel programming. The purpose of this study is to develop a system to reconstruct the rainfall (rainfall forecasting) using data RegCM3 based observation points using parallel programming approach to accelerate the process of computing. The scope of research is the rainfall data from Java and rainfall observation data Indramayu to observe the performance of accuracy and computation time are done in parallel. The highest accuracy performed by the system is 89.14%. The overall system using parallel programming is faster than serial program for large-sized data. This is showed by the value of speedup which is above 1.
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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: Trichomonas Gallinae Penyebab Trichomonosis Pada Unggas
Abstrak: Trichomonas gallinae adalah protozoa yang bergerak aktof dengan keempat flagella yang mempunyai layar dan pada salah satu sisinya terdapat membran seperti sirip ikan yang berombak. Spesies dari genus Trichomonas ini mempunyai arti penting pada unggas, karena dapat menyebabkan infeksi pada alat pencernaan bagian atas.
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