Judul: Penggunaan Metoda Radioimmunoassay
Abstrak: Tujuan penulisan ini ialah mempelajari lebih lanjut mengenai Teknologi Kedokteran Nuklear Radioimmunoassay sebagai salah satu metoda untuk mengukur kadar hormon reproduksi dari daerah perifer , untuk tujuan penelitian dan sebagai diagnosa kelainan hormonal pada pasien-pasien yang menderita kelainan hormonal. Prinsip dan interpretasi dari metoda ini diuraikan secara singkat . Diberikan pula metoda pembanding yang sering digunakan yaitu teknik uji biologi dan protein binding assay.
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Judul: Enzyme linked immunosorbent assay dan pemanfaatannya dalam bidang kedokteran hewan
Abstrak: Skripsi ini ditulis dengan studiliteratur. Bertujuan untuk mengetahui penggunaan Enzyme Linked Immunosorbent Assay dalam bidang Kedokteran Hewan terutama bidang Reproduksi ternak sapi. Prinsip kerja Elisa adalah pengikat antigen dan antibo- āi kompleks, yang dengan penambahan suatu substrat tertentu dan adanya kerja enzyme peroksidase akan terjadi perubahan warna, apabila antigen dan antibodi homolog. Hasil Elisa dapat dibaca langsung dengan jumlah spesimen yang besar sekaligus. Cara mendiagnosa suatu penyakit antara lain dapat dilakukan dengan melihat gejala klinis, perubahan histopatologis, bakteriologik, serologik maupun biologik. Enzyme Linked Immunosorbent Assay adalah diagnosa penyakit yang dise- babkan oleh Cacing, Protozoa, Bakteri, Micoplasma, Virus, juga mendeteksi atau mengukur kadar dari berbagai zat zat misalnya hormon dalam darah dan jaringan-jaringan tubuh, obat dan sisa-sia obat. Tehnik Elisa bersifat sederhana, mudah untuk dilakukan, ekonomis dan sangat fleksibel. Intensitas warna dapat diukur secara kuantitatif dengan menggunakan suatu alat atau secara pengamatan biasa dengan melihat perubahan warna….
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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