Judul: Keragaman genetik tanaman sagu di Indonesia berdasarkan penanda molekuler genom kloroplas dan genom inti, Genetic diversity of sago palm in Indonesia based on molecular marker of chloroplast genome
Abstrak: Tanaman sagu (Metroxylon sp.) mempunyai kemampuan untuk menghasilkan karbohidrat yang tinggi dibandingkan dengan tanaman penghasil karbohidrat lainnya. Indonesia mempunyai areal pertanaman dan hutan sagu yang terbesar dan memiliki diservasi genetik sagu yang tinggi., Sago palm (Metroxylon sago Rottb.) has high capability for accumulating carbohydrate in their trunk, if we compare with the others plant produce carbohydrate. Indonesia has the biggest sago palm plantation and sago palm forest as well as rich of genetic diversity. Genetic diversity of sago palm study in Indonesia was focused by using molecular chloroplast genome, nuclear genome, and genes encoding strach biosynthesis markers.
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Judul: Spatial Distribution, Autecology, and Biodiversity of Sagoo (Metroxylon spp.) in Seram Island, Maluku
Abstrak: Sago palm (Metroxylon spp.) is a tropical plant. Its area distribution in Indonesia is the largest in the world, covering 50-60 % of world’s Sago area. It is multifunction plant, however, it is still under utilized. Ecologicaly, sago palm well adapted on fresh water or peat swamp, riverine zone, surrounding water or swamp forests. Unfortunately, there is no any valid information on its area distribution. Moreover, regarding species diversity of Sago is also unclear. Based on the above facts, it is an urgent need to know its ecological aspect, spatial distribution and species diversity. The research was conducted in March to November 2009 at the Seram Island, Maluku. Spatial distribution was developed by Supervised classification of Landsat TM coupled with ground survey to collect Ground Control Points (GCPs) for accuracy assessment. Further field survey was done to collect autecological data. Isozyme analysis was also conducted to identify species diversity. Output supervised classification of Landsat-5TM image in 2007, showed that potential area of sago palm at the Seram Island was 18.239,8 ha. Characteristic of the habitat was distributed in the lowland (elevation less than 250 m asl), flat area, around river, near from beach, and on alluvium soil (sediment). Population structure of sago palm in the nature community follows young growth pattern, in wich rate seedling mortality was about 76,82 %. Regarding the species, M. rumphii Mart. species is the most dominant vegetation which cover 43,3 % of habitat. As adaptation strategy in swampy condition, sago palm form roots which was vertically directed to reach water surface. In sago palm community there was negative interspecific association indicated by Jaccard index less than 0,2. Abiotic component significant effected growth and sago fluor production. The variable that most have significantly effect to growth and sago flour production were micro temperature, micro relative humidity, bulk density, soil acidity, and salinity. The potential clump population at the Seram Island was about 3,2 million clump or approximately of about 1,5 million trunk of trees. M. rumphii Mart. and M. sylvestre Mart. species were the most potential with production capacity of about 566,04 kg starch/trunk and 560,68 kg starch/trunk, respectively. Genetic analysis by isozyme proved that initially known five species of Sago in the Seram Island was actualy only two species, namely Metroxylon rumphii Mart. (concist of M. rumphii Mart., M. sylvestre Mart., M. longispinum Mart, and M. microcanthum Mart.), and Metroxylon sagu Rottb.
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Judul: Penyelesaian Masalah Rotasi Aliran Fluida Kental Von Karman Menggunakan Metode Homotopi
Abstrak: Von Karman equation is an equation that describes fluid viscous flow induced by infinite disk rotation. By assuming steady flow and laminar, viscous incompressible fluid flow is represented in Von Karman equation by an angular velocity and the vertical direction velocity as the independent variables. Von Karman equation is a nonlinear problem that is solved using the homotopy method. The use of homotopy method is done by defining an homotopy function that requires auxiliary parameters to control the convergent region of the solution. The solution is a recursive formula with given initial conditions. Using software based-functional shows that velocity components converge to a value.
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