Judul: Kelenturan fenotipik kualitas telur dan karkas itik lokal dan silangannya sebagai respon terhadap perubahan tingkatan aflatoksin dalam ransum
Abstrak: Tujuan penelitian adalah mempelajari fenomena kelenturan fenotipik kualitas Telur, karkas dan organ dalam serta mengetahui pola kelenturan fenotipik galur itik lokal yang diberi ransum dengan kandungan aflatoksin yang berbeda. Penelitian menggunakan empat populasi itik, masing-masing itik Tegal, Mojosari, Mojosari x Tegal dan Tegal x Mojosari. Ransum yang digunakan ada empat macam yaitu: RO (ransum tanpa kontrol), R1 (ransum + 50ppb aflatoksin), R2 (ransum + 100ppb aflatoksin) dan R3 (ransum + 150ppb aflatoksin). Peubah yang diamati adalah kualitas telur, karkas dan organ dalam.
Keyword: Aflatoksin, Carcass

Judul: Kelenterun Fenotipik Sifat-Sifat Produksi Pada Itik Lokal dan Silangnya Sebagai Respon Terhadap Ransum Dengan Kandungan Aflatoksin yang Berbeda
Abstrak: Penelitian ini dilaksanakan di Balai Penelitian (Balitnak), Ciawi - Bogor, yang berlangsung dari bulan Januari 1997 sampai dengan September 1997. Tujuan Penelitian ini adalah untuk mengidentifikasi keberadaan gen-gen pengatur kelenturan fenotif sifat-sifat produksi pada itik lokal dan sialngannnya yang diberi ransum dengan kandungan aflatoksin yang berbeda. Penelitian ini menggunakan empat populasi itik yaitu itik mojosari (MM),Tegal (TT), Tegal Mojosari (TM), dan Mojosari Tegal (MT) yang dipelihara pada ransum dengan level aflatoksin : 0 ppb, 50 ppb, 100 ppb dan 150 ppb selama satu bulan. Setekah itu itik dipelihara dengan diberikan ransum kontrol (tanpa mengandung aflatoksin) samapai bertelur. Untuk masing -masing populasi terdiri atas 80 ekor itilk betina dan 20 ekor itik jantan, sehingga jumlah seluruhnya 320 ekor itik betina dan 80 ekor itik jantan.Peubahn yang diamati dalah sifat-safat produksi (Bobot badan, umur,dewasa kelamin, bobot dewasa kelamin, bobot telur pertama, konsumsi ransum dan produksi telur)
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