Judul: Mutu Mikrobiologi Beberapa Ragam Peda
Abstrak: Ikan peda merupakan salah satu produk fermentasi ikan bergaram yang banyak disukai oleh masyarakat Indonesia.Dalam pemasarannya ikan peda kurang mendapat perlakuan yang baik sehingga memungkinkan terjadinya berbagai kontaminasi. Dalam penelitian ini diamati mutu mikrobiologi empat jenis ikan peda, yaitu pada merah tidak disiangi, peda putih ukuran besar (12-15 cm) dan peda putih ukuran kecil (5-8 cm). Keempat jenis ikan peda tersebut diperoleh dari Pasar Bogor dan Pasar Lawang Seketeng.
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Judul: Mempelajari kandungan histamindan mutu peda yang dibuat secara laboratoris
Abstrak: Peda merupakan salah satu produk hasil pengolahan perikanan secara tradisional yang digolongkan sebagai ikan asin basah dan sangat digemari oleh masyarakat Indonesia terutama di pedesaan. Pembuatan peda umumnya dilakukan masih secara tradisional sehingga mutu serta kualitasnya kurang baik, demikian juga tingkat higienis produk kurang terjamin. Dalam pembuatannya, ikan sengaja tidak dikeringkan total tetapi dibiarkan setengah kering sehingga proses fermentasi yang disebabkan oleh mikroorganisme dan proses autolisis oleh enzim-enzim pencernaan tetap berlangsung. Penanganannya yang umumnya kurang higienis sehingga menyebabkan terjadinya keracunan setelah mengkonsumsi peda. Keracunan ini diduga karena meningkatnya kandungan histamin pada peda yang melebihi batas aman. Masalah keracunan setelah mengkonsumsi peda menjadi masalah yang penting untuk ditanggulangi. Penelitian ini dilakukan dalam dua tahap, yaitu penelitian pendahuluan dan penelitian lanjutan. Pada penelitian pendahuluan dilakukan survei lapang tentang tata cara pengolahan peda di daerah Pelabuhan Ratu (Jawa Barat) dan survei lapang tentang cara penanganan dan penyimpanan produk jadi di berbagai pasar di daerah Bogor serta penghitungan konsentrasi histamin produk peda yang diambil dari pasar. ...
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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