Judul: Pengaruh suhu waktu ekstraksi kulit pinus merkulis jungh et de vriese, acacia decurrens wild dan phizophora mucranta lamk terhadap kualitas tanin sebagai bahan penolong papan serat
Abstrak: Tujuan penelitian ini adalah untuk menentukan suhu dan waktu ekstraksi yang optimum dari kulit Pinus merkusii, Acacia decurrens dan Rhizophora mucronata, sehingga diperoleh tanin dengan kualitas dan kuantitas yang baik sebagai perekat untuk bahan penolong papan serat. Kualitas dan kuantitas tanin tersebut ditentukan dengan menganalisa kadar tanin, kadar condensed tanin, kadar ekstrak dan kelarutan tanin dalam air, sedangkan untuk mengetahui pengaruh penambahan perekst tanin-formaldehida terhadap kualitas papan serat ditentukan dengan menguji kadar air, kerapatan, ketebalan, daya serap air, pengembangan tebal, daya tarik sejajar permukaan dan keteguhan patah (MOR).
Keyword: tanin, kulit pinus

Judul: Ekstraksi dan Indentifikasi Tanin Kulit Kayu :Beberapa Jenis Pohon serta Penggunaannya sebagai Perekat Kayu Lapis Eksteriar
Abstrak: Penelitian ini bertujuan untuk menentukan kondisi ekstraksi (suhu dan waktu) yang optimum dari tiga jenis kulit kayu (Acacia decurrens, Rhizophora mucronata dan Pinus merkusii), sehingga kualitas dan kuantitas ekstrak (kadar ekstrak, kadar tanin, kadar tanin terkondensasi dan kelarutan tanin dalam air) yang diperoleh dapat menjamin kualitas perekat memenuhi standar pengujian. 'Ekstraksi dilakukan dengan etanol air (1 1) pada suhu 28, 38 dan 4sDc dengan waktu ekstraksi 2, 3 dan 4 Jam. Hasil penelitian menunjukkan bahwa semakin 5uhu dan waktu ekstraksi semakin meningkat pula ekstrak. Namun demikian, semakin tinggi kadar tinggi kadar ekstrak tidak berarti semakin tinggi pula kualitas perekat yang dihasilkan. Komponen ekstrak yang menjamin kualitas perekat untuk pembuatan kayu lapis adalah tanin terkondensasi. Semakin tinggi kadar tanin terkondensasi semakin baik kualitas kayu lapis yang dihasilkan. dst ..
Keyword: Leather industry, Plywood gum

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