Judul: Profil Hematologi dan Kimia Darah pada Beruk Siberut (Macaca siberu) di Taman Safari Indonesia Cisarua Bogor.
Abstrak: Satwa primata memiliki peran penting dalam kehidupan manusia, terutama penggunaan satwa primata sebagai objek penelitian biomedis, biologis, kedokteran, dan farmasi. Pemeriksaan darah dilakukan untuk menunjang diagnosa Dokter Hewan dalam penegakan status kesehatan hewan. Penelitian ini bertujuan untuk mendapatkan informasi data dasar fisiologis pada Macaca siberu yang berada di Taman Safari Indonesia Cisarua Bogor yang mencakup parameter kuantitatif dan kualitatif hematologi didukung dengan parameter kimia darah. Penelitian ini menggunakan 8 ekor Macaca siberu terdiri dari 5 jantan dan 3 betina. Hasil nilai hematologi pada Macaca siberu secara keseluruhan tidak jauh berbeda dengan Macaca nemestrina dan Macaca leonina yang memiliki hubungan kekerabatan, namun beberapa profil kimia darah pada Macaca siberu memiliki hasil pemeriksaan yang sangat tinggi pada kadar glukosa dan kolesterol sedangkan kadar enzim AST dan ALT, BUN, kreatinin, asam urat, total protein, kalsium, dan phospor tidak jauh berbeda dengan Macaca nemestrina dan Macaca leonina.
Keyword: hematologi, kimia darah, macaca

Judul: Profil Hematologi dan Kimia Darah pada Lutung Hitam (Trachypithecus auratus) di Taman Safari Indonesia Cisarua Bogor
Abstrak: Lutung hitam (Trachypithecus auratus) merupakan salah satu primata dari famili Cercopithecidae yang telah digunakan sebagai hewan penelitian secara luas. Penilitian ini bertujuan mendapatkan informasi mengenai nilai hematologi dan kimia darah pada T. auratus yang terdapat di Taman Safari Indonesia Cisarua Bogor. Data berasal dari empat individu T. auratus yang kemudian dibandingkan dengan lutung hanuman (Presbytis entellus) dan lutung kelabu (Presbytis cristatus) dari famili yang sama. Hasil menunjukkan bahwa nilai hematologi pada T. auratus jantan lebih tinggi daripada T. auratus betina. Total eritrosit, hemoglobin, hematokrit, platelet, dan mean corpuscular haemoglobin concentration pada T. auratus juga memiliki nilai yang lebih tinggi jika dibandingkan dengan P. entellus, sedangkan mean corpuscular volume dan mean corpuscular haemoglobin memiliki nilai yang lebih rendah. Jenis leukosit yang paling banyak ditemukan pada sel darah T. auratus adalah limfosit. Hasil pemeriksaan kimia darah pada T. auratus menunjukan hasil yang jauh berbeda jika dibandingkan dengan P. entellus dan P. cristatus, namun total protein pada masing-masing spesies tersebut memiliki nilai yang tidak jauh berbeda.
Keyword: hematologi, kimia darah, lutung hitam

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