Judul: Eliminasi Gauss Successive Untuk Menyelesalkan Sistem Persamaan Linear SECARA P ARALEL
Abstrak: Penggunaan metode langsung (direct method), misalnya Eliminasi Gauss (EG) dan Aturan Cramer, umumnya tidak efisien dalam meyelesaikan sistem persamaan linear Ax~b yang berukuran besar. Metode Eliminasi Gauss Successive (EGS) adalah modifikasi dari metode EG sehingga dapat dieksekusi seeara paralel dengan efisien dalam sistem multiprosesor.
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Judul: Metode generalized minimal residual(GMRES) dalam menyelesaikan sistem persamaan linear
Abstrak: Metode GMRES (Generalized Minimal Residual) adalah salah satu metode proyeksi subruang Krylov Kapan(r. Ar Aro) untuk menyelesaikan sistem persamaan linear tak-simetrik. Metode ini diperkenalkan oleh Saad dan Schultz tahun 1986. Cara kerja metode GMRES tampak pada algoritma GMRES. Pada algoritma GMRES terdapat 2 tahap dalam menyelesaikan masalah sistem persamaan linear yaitu tahap penentuan basis dan tahap penentuan solusi. Perbedaan yang nyata antara metode GMRES dengan metode yang lain (baik yang menggunakan bantuan subruang Krylov maupun yang tidak menggunakan subruang Krylov) adalah dalam mendapatkan solusi. Pada setiap iterasi algoritma GMRES, selain diperoleh basis subruang Krylov, dapat diperoleh pula estimasi besarnya residu tanpa menghitung solusi aproksimasi pada iterasi tersebut. Dari implementasi metode GMRES yang diterapkan pada matriks JPWH 991, tampak bahwa metode GMRES jauh lebih efisien dalam hal memori yaitu 177.768 bytes, sedangkan metode Gauss memerlukan memori minimal sebesar 982.081 bytes. Juga dalam hal banyaknya operasi floating point (dalam hal ini berhubungan dengan waktu yang digunakan) metode GMRES jauh lebih unggul dibandingkan dengan metode eliminasi Gauss.
Keyword: Generalized Minimal Residual Method, subspace projection methods, non-symmetric linear equations

Judul: Habitat characteristics of timor friarbird philemon inornatus in Camplong Landscape Kupang District, East Nusa Tenggara
Abstrak: Timor Friarbird (Philemon inornatus, G. R. Gray, 1846) is one of the six endemic birds of Timor and is a protected species. The population of bird is suspected to have been decreasing over the past six years along with the decreasing of the quantity and quality of physical and biotic factors of its habitat. Knowledge on landscape spatial pattern could be used to evaluate the quantity and quality of habitat. This research aimed at identifying spatial habitat characteristics of Timor Friarbird based on dominant factors of physical and biotic habitat components. Principle Component Analysis (PCA) on the physical habitat factors showed that variables that have strong correlation with the presence of the bird were Normalized Difference Vegetation Index (NDVI), slope, distance from secondary forest, distance from bush, distance from cashew plantation, distance from crop plantation, and distance from roads. The biotic factors that have strong correlation with the presence of Timor Friarbird were the total number of plant species, number of plants used for food and cover, and mean height of trees. Height of poles was the only variable that has no correlation with the presence of Timor Friarbird. The most dominant physical and biotic factors that influent the presence of Timor Friarbird at a site are the density of foraging trees, slope, distance from the river, the distance from secondary forest, the density of cover pole and the distance from road. The estimation population of Timor Friarbird in Camplong region is low; this might be caused by low feeding tree density, high rates of poaching, the uneven distribution of feed vegetation and the flowering season, habitat degradation due to illegal logging, grazing cattle in the wild, and invasion of siam weed or chromolaena (Chromolaena odorata). The results of land cover classification at Camplong region based on Landsat_5 Thematic Mapper (TM) image with ArcGIS 9.3 and Erdas 9.1 obtained 11 land cover classes, with shrub as the dominant class. Keyword: Philemon inornatus, Habitat Spatial Characteristics, PCA, Population, Land Cover
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