Judul: Profil Lipid Peroksida Hati Tikus Inflamasi yang Diberi Sediaan Nanokurkuminoid.
Abstrak: Inflammation can cause the formation of prostaglandin and free radicals. In addition overcome inflammation, a drug used also need to have an affect as antioxidants to treat the free radicals. This problem can be solved by curcuminoid nanoparticle covered with palmitic acid. This research aims to test antioxidants effect of curcuminoid nanoparticel covered with palmitic acid from curcuma to lipid peroxide levels on inflammation rat hepar. Antioxidants effect of nanokurkuminoid tested on rats that induced by 1% karagenan and the hepar lipid peroxide measured after 24 hours. Lipid peroxide level was measured with spectrophotometer in 532 nm wavelength. The average size of curcuminoid nanoparticle covered with palmitic acid is 561.53 nm with IP score 0.309. Lipid peroxide level of inflammation rats hepar given curcuminoids extract 100 mg/kg BW is 0.27x10-4 nmol/g. It was lower from the nanocurcuminoids 250 mg/kg BW groups which is 1.22 x10-4 nmol/g. Nanocurcuminoids 250 mg/kg BW is 114 times more efficient as an antioxidant than curcuminoids extract 100 mg/kg BW.
Keyword: antioxidan, lipid peroxide, nanocurcuminoids

Judul: Status Antioksidan Tikus Sprague-Dawley Betina dengan Pemberian Nanopartikel Kurkuminoid Temulawak Balittro
Abstrak: Curcuma (Curcuma xanthorrhiza) is an Indonesian herbs plant with antioxidant activity. This research aimed to measure the increasing of curcuminoids bioavaibility through the efectivity of nanoparticle curcuminoids as antioxidant for carbon tetrachloride (CCl4) induced rats. Nanoparticle curcuminoids was produced by homogenization-ultrasonication method showed results particle size of curcuminoids nanoparticle was 141.85±38.82 nm with polidispersity index was 0.233 and entrapment efficiency was 71%. During the treatment, rat’s body weight was increased. Clinical symptoms of rats (behavior and feces) was normal. Nanoparticle curcuminoids can decrease malondialdehide concentrations and increase peroxide, glutation peroxide, and superoxide dismutase activity.
Keyword: curcuma., solid lipid nanoparticle, curcuminoid, antioxidant

Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm