Judul: Rice Monitoring System Based on Modelling Approach.
Abstrak: West java provinces is a central rice production in Java islands and contribute more than 30% of total rice production in Java islands. Even though the irrigation paddy field area dominant, the weather condition still influence rice production in that province. The objective of this study is design rice crop monitoring system based on weather variable and leaf area index which all the input derived by remote sensing and Numerical Weather Prediction (NWP). Combination several sources of active and passive remote sensing data with NWP data as an input for crop simulation model successful to monitor rice yields in West Java province. The rice crop yield during 2004 until 2008 is 52.9 Kw/ha, 46 Kw/ha, 40.7 Kw/ha, 52.7 Kw/ha, and 49.5 Kw/ha respectively. During 2004 - 2008, the error of the model ranged from 2.9% until 22.9% at West Java province while in regency level was varied from 0.2% until 49.3%. The coefficient of determination (r2)between result of the model with reference data was 0.7 in rice production analysis during 5 years simulation.Results of the model were more accurate in La-Nina. In El-Nino events, the farmer in several regencies such as Karawang, Indramayu and Bekasi uses irrigation to irrigate the paddy field. Consequently, the rice production not directly decreased in those regencies like simulated result of the model.
Keyword: 

Judul: Optimalization Regional and Global Climate Predictors for Development of Model for Prediction of of Rainy Season over Rice Production in Northern Coast of West Java Province.
Abstrak: Tantangan terbesar di daerah tropis adalah bagaimana mendapatkan model prediksi iklim yang mempunyai akurasi yang tinggi dan konsisten. Iklim Indonesia tidak hanya dipengaruhi oleh iklim lokal tetapi juga sangat dipengaruhi oleh iklim regional dan global seperti aktivitas ElNiño Southern Oscillation (ENSO) yang berada di lautan Pasifik, Southern Oscillation Index (SOI) dan Indian Ocean Dipole Mode (IOD) di lautan India sebelah barat Sumatera serta suhu muka laut (SST) yang belakangan ini diketahui juga mempengaruhi musim di Indonesia. Parameter tersebut telah dijadikan sebagai prediktor model prediksi musim hujan baik secara tunggal maupun gabungan tetapi akurasi hasil luaran model prediksi tersebut masih belum konsisten., In tropical areas of the greatest challenges for climate prediction models is how to develop a model with a high level prediction accuracy due to the complexity of the climate system and the interaction between local conditions, regional and global. Rainfall in Indonesia is influenced by many factor, the main factor is the monsoon circulation. Disturbance in the monsoon often associated with impaired local, regional and global levels. Three phenomena that often affect the rainfall are SST Indonesia, Indian Ocean Dipole Mode and El Nino or La Nina.
Keyword: Seasonal prediction model, Sasonal predictors, PCR, Stepwise regression, Paddy production, Rice Production, Global climate predictors, Linier regression, Global circulation models

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.
Keyword: