Judul: Pengembangan Model Indeks Monsun (Monsoon) Indonesia (IMI) Berbasis Hasil Analisis Data WPR (Wind Profile Radar)
Abstrak: There are three regions as a heat source to drive a circulation in the equatorial namely South America, Africa, and Indonesian. Indonesian in a geographyc is a unique country. Because in the cross two continental (Asia continental and Australian continental) and two ocean (Hindian ocean and Pacific ocean). Until Indonesian climate is dominated by Monsoon to have one year of cycle. Development of model in one of purpose to easier in predicted climate in the future is seldom done. So throught the research are model can be used Monsoon prediction especially in Indonesia. This research to used a WPR in three city, Pontianak, Manado, and Biak with supporting data is global climate that ISMI (Indian Summer Monsoon Index), WNPMI (Western North Pacific Monsoon Index), and AUSMI (Australian Monsoon Index). The results of this research are the linkage between the WPR with global climate data, so AUSMI data to selected which oscillate around 12 months. The powerfull of correlation in the fist period (November 1, 2007 – January 30, 2008) is AUSMI in Pontianak and Biak with the correltion 0.486 and 0.599. whereas second period (Desember 7, 2008 – March 7, 2009) AUSMI dominant in Pontianak with correlation value 0.21 and ISMI dominant in Biak with correlation value 0.419. Furthermore with bifilar linier regression analysis to made model for the period with model like U (850) = a (ISMI) + b (WNPMI) + c (AUSMI) + error.
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Judul: Pengembangan model monsun indonesia berbasis hasil analisis data indeks monsun regional
Abstrak: Monsoon is one of regional phenomenon that affects weather and climate in Indonesia. This is caused by the territory of Indonesia which is located in equatorial zone and between Asia in the north and Australia in the south. Due to the location, there are two monsoons named Asia which causes wet season (December-January-February) and Australia which causes dry season (June-July-August). Until this time, Indonesia doesn’t have monsoon index which is needed by BMKG (Meteorology, Climatology and Geophysics Agency). Regional monsoon index (RMI) data must be calibrated with data from Indonesia, EAR (Equatorial Atmosphere Radar) to examine the relation of EAR with IMR data. Selected time-series of IMR data is used to develop monsoon model. The method that used is monsoon analysis and spectral analysis with Matlab and cross correlation analysis and the Box-Jenkins method, ARIMA with SPSS 16.0. The results of the analysis show that AUSMI (Australian Monsoon Index) at 200 mb layer which oscillate around 12 months has high correlation with EAR data 0.781. The appropriate model to show the monsoon model is ARIMA (1,1,1). AUSMI period t is decided by one and two months latest data (Zt-1) and (Zt-2) and a month error latest data (at-1) with equation Zt = 1.047 Zt-1-.047Zt-2 + 0.093at-1. The validation results obtained using model with actual data IMR February 2004-December 2008 give average error 2.3906 and correlation 0.7139.
Keyword: Monsoon, EAR, Regional monsoon index data, Box-Jenkins(ARIMA), Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Leukemia pada kucing
Abstrak: Leukemia pada kucing adalah suatu penyakit yang sangat patogen, disebabkan oleh sejenis virus. Virus ini dikenal sebagai Feline Leukemia Virus atau FeLV. FeLV ini oleh beberapa ahli dikatakan hanya bersifat ganas pada hewan kucing. Penularannya bisa secara horizontal maupun congenital. Kucing pada semua tingkat umur dapat terserang oleh FeLV ini. Khusus pada bentuk "thymic leukemia", virus ini hanya menyerang anak-anak kucing berumur diba- wah 1 tahun. Kucing-kucing liar atau yang tidak terpeli- hara jarang sekali terinfeksi FeLV. Selain dari serangan virus FeLV itu sendiri, maka penyakit leukemia ini bisa disebabkan oleh beberapa fak- tor yang sudah ada dalam tubuh hewan dan sangat menunjang perkembangan penyakit ini, yaitu antara lain tumor, agen toksik, cedera oleh kecelakaan dan gangguan hemopoiesis. FeLV menyerang sel-sel darah dalam tubuh hewan se- hingga pembentukan darah berjalan tidak normal. Terlihat sel-sel darah yang belum dewasa sudah beredar dalam sir- kulasi darah. Bentuk dan jumlahnya tidak lagi seimbang dalam tubuh hewan kucing tersebut. Gejala klinis antara lain kekurusan, ikterus, anemia, lemah, anoreksia, dyspnoe, sulit menelan, batuk, dan membran mukosa pucat. Selain itu kelenjar pertahanan tubuh juga membengkak, kemudian terjadi hepatomegali, spleenomegali dan pembengkakan pada ginjal. Terbentuk massa tumor pada beberapa tempat. Secara biopsy pada sumsum tulang akan terlihat be- berapa perubahan. Sumsum tulang berwarna merah tua atau abu-abu. Konsistensinya lunak dan terdapat banyak sekali memproduksi sel darah putih. Melalui gambaran darah leukemia ini lebih mudah didiagnosa. Jumlah retikulosit rendah sekali. PCV 8-15%, hemoglobin menurun, sel darah putih (WBC) meningkat, lim- fosit meningkat, Alfaglobulin juga ada peningkatan, dan banyak eosinofil yang belum dewasa beredar dalam darah…dst
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