Judul: Pengaruh pH Air Siraman dan Umur Perkecambahan terhadap Karakteristik Mutu Tauge Kacang Hijau (Vigno radiata (L.) Wilczek)
Abstrak: Tujuan penelitian ini adalah mempelajari pengaruh pH air siraman dan umur perkecambahan terhadap karakteristik mutu fisik meliputi panjang akar, panjang hipokotil, diameter hipokotil dan bobot tauge; karakteristik mutu organoleptik meliputi warna, penampakan dan rasa; dan karakteristik mutu kimiawi meliputi kadar protein, gula, kalsium dan asam fitat. Penelitian dilaksanakan di Laboratorium Percobaan Makanan, Jurusan Gizi Masyarakat dan Sumberdaya Keluarga, Fakultas Pertanian IPB, Laboratorium Makanan dan Minuman Balai Besar Industri Hasil Pertanian Bogor serta Laboratorium Kimia Balai Penelitian Tanaman Pangan Sukamandi, dari bulan Mei sampai dengan bulan Juni 1993. Penelitian dilakukan dalam dalam tiga tahap yaitu (1)penelitian pendahuluan dilakukan untuk mengetahui jumlah siraman/hari dan umur perkecambahan agar didapatkan tauge yang tumbuh dengan baik dan cukup umur untuk dipanen; (2)penelitian tahap pertama mempelajari pengaruh pH air siraman terhadap karakteritik mutu fisik dan mutu organoleptik tauge; (3)penelitian tahap kedua mempelajari pengaruh pH air siraman dan umur perkecambahan terhadap mutu kimiawi tauge .
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Judul: Pengaruh Pemberian Limbah Tauge Kacang Hijau (Vigna radiata (L.) Wilczek) Terhadap Pertumbuhan Dan Kandungan Zat Gizi Ikan Mas (Cyprinus Carpio L.)
Abstrak: Tujuan umum penelitian ini adalah untuk mempelajari pengaruh pemberian limbah tauge kacang hijau (Vigna radiata (L.) Wilczek) terhadap pertumbuhan dan kandungan zat gizi ikan mas (Cyprinus carpio L.). Tujuan khusus penelitian ini adalah mengamati pengaruh pemberian limbah tauge terhadap pertumbuhan panjang dan bobot ikan mas, mempelajari pengaruh pemberian limbah tauge terhadap kualitas air kolam (suhu, pH, DO, ammonia dan alkalinitas), mengamati pengaruh pemberian limbah tauge terhadap kadar air, protein, lemak, abu dan karbohidrat pada ikan mas, mempelajari analisis perimbangan penerimaan darl biaya (R/C Ratio) budidaya ikan mas yang diberi limbah tauge.
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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