Judul: Mempelajari cara ekstraksi danstabilisasi minuman sari Cam Cao ( Premna oblongifolia Merr )
Abstrak: Penelitian ini bertujuan untuk mempelajari kemungkinan peningkatan daya guna daun cam cao (Premna oblongifolia. Merr) yang mempunyai harga pasaran rendah, karena penggunaannya hanya terbatas sebagai pengisi minuman segar (es cao), yaitu dengan cara membuat minuman sari cam cao yang masih mempunyai aroma khas cam cao dengan warna hijau stabil. Keadaan mini- mum seperti ini tidak mungkin diperoleh dengan cara sterili- sasi atau pasteurisasi. Dengan demikian perlu dipelajari cara ekstraksi dan stabilisasi warna, aroma serta sifat-sifat fisik sari cam cao sehingga diperoleh produk yang diharapkan. Pengamatan terhadap cara ekstraksi dan stabilisasi ter- diri dari 8 perlakuan yang pada prinsipnya dapat dibedakan menurut (1) cara penghancuran daun (dengan remasan tangan, pengirisan daun dengan pisau, blender) dan (2) jenis senya- wa kimia yang ditambahkan. Setelah dilakukan penilaian terhadapcara ekstraksi dan stabilisasi minuman, maka dipilih cara menghancurkan daun dengan blender, dimana perbandingan daun dan air (1:100) kemudian dipanaskan dengan menggunakan pendingin tegak, ...
Keyword: 

Judul: Evaluasi Mutu Minuman Fungsional Daun Cincau Hijau (Premna oblongifolia merr.) Selama Penyimpanan
Abstrak: Cincau hijau biasanya dikonsumsi dalam bentul gel segar. Adapun bahan dasar pembuatan gel segar cincau hijau ini ialah berupa daun cincau. Ada dua jenis daun yang digunakan untuk membuat gel cincau hijau ini, Cyclea barbata L. Miers dan Premna oblongifolia Merr. Jenis daun yang digunakan pada penelitian ini adalah Premna oblongifolia Merr, karena mudah diperoleh dan banyak terdapat di daerah Bogor. Penelitian ini bertujuan untuk menentukukan formulasi dan menguji mutu produk minuman fungsional daun cincau hijau (Premna oblongifolia Merr.). dst ...
Keyword: 

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