Judul: Isolasi dan identifikasi senyawa antibakteri daun terong pungo (Solanum sp) hasil penapisan tanaman dan hewan obat aceh
Abstrak: Daun terong (Solanum sp) berasal dari Provinsi Nanggroe Aceh Darussalam secara tradisional telah dikenal memiliki khasiat sebagai obat sakit gigi, obat masuk angin. Secara ilmiah hal ini perlu diteliti dan dikembangkan sehingga kearifan lokal yang dimiliki dapat terus dipertahankan.
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Judul: Isolasi dan Identifikasi Inhibitor Topoisomerase I Daun Tanaman Pesisir Terong Pungo (Solanurn sp)
Abstrak: Topoisomerase I adalah enzim yang melakukan pemutusan utas tunggal DNA dalam inti sel, berperan dalam replikasi DNA. Enzim ini ditemukan dalam jumlah yang berlebihan pada sel kanker dibandingkan sel sehat/normal. Oleh karena itu inhibitor topoisomerase menjado salah satu sel target untuk penemuan anti kanker oleh berbagai industri obat dunia. tujuan penelitian ini adalah mendapatkan (1) ekstrak daun terong pungo yang memiliki aktivitas inhibitor topoisomeraseI, (2) inhibitor totpoisomerase I dari daun terong pungo yang tidak bersifat genotoksik , (3) informasi tentang senyawa firokimia dari ekstrak daun terong pungo terpilih, (4) fraksi ekstrak yang memiliki aktivitas inhibitor topoisomerase I, (5) senyawa inhibitor totpoisomerase I teridentifikasi. Hasil penelitian menunjukkan rendemen ekstrak heksana adalah 1.04%, ekstrak etil asetat 2.5% dan ekstrak metanol 7.78%. Hasil pengujian fraksi M3 dengan GC-MS menunjukkan dugan bahwa fraksi M3 mengandung senyawa yang mirip dengan struktur koles-2en-3amin, N, N-dietil-, (5 alfa)
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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