Judul: The Modeling of Downscaling GCM output and SST Anomaly Nino 3.4 Using Support Vector Regression (A Case Study of The monthly Rainfall In Indramayu).
Abstrak: The objective of this research is to develop a downscaling model GCM output and SST anomaly Nino 3.4 as input in the training to predict a rainfall monthly in Indramayu. The techniques of a downscaling is used for a phenomenon indicators of El Nino and Southern Oscillation (ENSO) climate anomaly such as a Global Circulation Model (GCM) and Sea Surface Temperature (SST) nino 3.4 are commonly used as a primary study learn and understand the climate system. This research propose a method for developing a downscaling model GCM output and SST anomaly Nino 3.4 by using Support Vector Regression (SVR). The research showed that GCM output and SST anomaly Nino 3.4 can be approach the average value of monthly rainfall. The best result of prediction is Bondan station which has average correlation that is 0.700.
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Judul: Statistical Downscaling of GCM Data using Support Vector Regression to Predict Monthly Rainfall in Indramayu.
Abstrak: The knowledge about weather and climate pattern, especially rainfall is required by many sectors such as, agricultural, plantation, transportation, and so on. Recently, the model that is used to observe the impact and to predict the climate change is the global circulation model (GCM). However, the current GCM-resolution data is too low and it is difficult to predict the local climate pattern that requires high resolution. However, it is possible to obtain regionalscale information if it is combined with statistical downscaling (SD) methods. The main objective of this research is to develop SD models by using support vector regression (SVR) in forecasting monthly rainfall in Indramayu, in order to get the accurate climate information based on GCM data. The results of this research showed that overall, the model is good enough to predict rainfall with normal conditions. But for extreme circumstances, although the prediction model was able to follow the pattern of the observational data, but the value of the resulting predictions have not managed to predict accuratelly the actual observed values. Variations of the evaluation of estimated results by the model for 13 rain stations in Indramayu district showed that the location of rain stations in certain areas can influence and determine the accuracy of the monthly rainfall forecast. Rain observations points located farther from the sea tend to have better estimation results than the observation points located close to the sea.
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Judul: Warna bulu kucing ras Persia : variasi pola warna dan pewarisannya
Abstrak: Kucing Persia merupakan kucing ras yang paling umum dijumpai di Indonesia. Kucing Persia memiliki bulu yang panjang dengan variasi warna bulu yang sangat beragam. Perkawinan yang lebih terarah sangat perlu dilakukan untuk meningkatkan kualitas genetik warna dan pola warna bulu kucing. Penelitian ini bertujuan untuk mempelajari variasi warna dan pola warna bulu kucing Persia yang terdapat di Indonesia, yang dilakukan di kantor pusat Cat Fancy Indonesia mulai bulan Oktober 2000 sampai Januari 2001. Data yang digunakan merupakan data pedigree kucing Persia yang tercatat di Cat Fancy Indonesia dari tahun 1997 sampai Oktober 2001 yang terdiri dari 187 jantan dan 258 betina, selain itu juga dilakukan pengamatan langsung kepada tiga penyayang dan breeder kucing yang ada di Bandung. Secara umum tercatat 104 penyayang dan breeder kucing ras di Indonesia, 74,04% terdapat di Jawa Barat dan sisanya (25%) terdapat di daerah Jakarta. Jumlah kucing Persia yang lahir di Indonesia adalah 387 kucing (87,16%), yang terdiri dari 163 (42,12%) jantan dan 224 (57,88%) betina. Jumlah kucing Persia yang diimpor ke Indonesia adalah sebanyak 57 (12,845%) yang terdiri dari 23 (40,35%) jantan dan 34 (59,65%) betina. Jumlah kucing Persia yang terdapat di Jawa Barat (84,14%) lebih banyak dibanding jumlah kucing Persia yang ada di Jakarta (14,86%). Secara umum warna bulu cream (9,01%) dan pola warna solid (34,01%) memiliki persentase tertinggi. Warna cream merupakan warna dilusi dari warna merah (red) yang dapat dihasilkan dari berbagai macam kombinasi warna bulu yang dimiliki tetua sebelumnya, sebagai contoh dari perkawinan tetua yang memiliki warna bulu cream dengan red smoke. Perkawinan antara tetua yang memiliki warna dan pola warna bulu yang tidak murni dapat menghasilkan turunan yang memiliki warna dan pola warna bulu yang bervariasi.
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