Judul: Perubahan Kimia dan Mikrobiologi dalam Proses Fermentasi Biji Karet (Hevea brasiliensis)
Abstrak: Dage biji karet(ciev.ea bras-I iensis) merupalian maks.nanil fermentasi spontan, dimana mikrobe yang berperan dalam fermentasi ini berasal dari udara dan air selama perendaman. Tujuan dari penelitian ini adalah untuk mengetahui wbahan kimia dan mikrobiologi yang terjadi selama proses pembuatan dengan biji karet . Perlakuan yang diberikan adalah :a perendaman yang menggunakan air dinamis dan air statis , .ta lama perendaman yang berlangsung selama 4 hari . Air lamis adalah cara perendaman dimana terjadi penggantian setiap 24 jam, sedangkan air statis adalah tanpa adanya penggantian air selama perendaman.
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Judul: Pengaruh jenis medium fermentasi terhadap perubahan mikrobiologi selama proses fermentasi sawi hijau (Brassica juncea var Rugosa)
Abstrak: Penelitian dilakukan untuk mempelajari pengaruh jenis medium fermentasi pada waktu fermentasi tertentu terhadap perubahan mikrobiologi dan kimia di dalam proses fermentasi sawi hijau. Jenis medium fermentasi yang digunakan adalah air kelapa dengan konsentrasi 2, 4, dan 6 ml/g bahan, larut- an gula dengan konsentrasi 1.3, 2.7 dan 4.0 g gula/100 ml larutan, air tajin (air masakan beras) dengan konsentrasi 1.0, 1.5 dan 2.0 g beras/10 ml larutan dan air sebagai kontrol. Bahan baku sawi hijau yang digunakan sebanyak 50 g dan medium yang digunakan lebih kurang 300 ml. Waktu fermentasi yang dilakukan adalah 0, 1, 2, 3 dan 4 hari, sedangkan fermentasi dilakukan pada suhu kamar. Pengamatan dilakukan selama fermentasi, meliputi total asam tertitra- si, pH, total bakteri asam laktat, total bakteri koliform, total bakteri amilolitik, total bakteri proteolitik dan total kapang dan khamir. Hasil penelitian menunjukkan bahwa medium air kelapa dengan konsentrasi 6 ml/g bahan mencapai hasil total asam tertitrasi tertinggi, yaitu 1083.16 ml NaOH
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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