Judul: Hubungan antara Status Imunologik dengan Konsumsi Makanan Jajanan Tercemar dan Status Gizi pada Populasi Remaja di Daerah Bogor
Abstrak: Peneliiian ini bertujuan untuk mengetahui tingkat konsumsi makanan jajanan tercemar oleh populasi remaja di daerah Bogor. status gizinya secara antropometri. mengamati aktifias proliferasi sel limfosit dengan penarnbahan berbaga~ mitogenlantigen sehingga status imunologiknya dapat diketahui dan mengamati hubungan antara status imunologik dengan konsumsi makanan jajanan tercernar. Makanan jajanan yang berada di daerah Bogor telah diteliti, ternyata sebagian besar tercemar baik oleh mikroorganisma, logam berai maupun bahan-bahan tambahan makanan. Peningkatan konsumsi makanan tercemar berimplikasi terhadap masuknya bahan-bahan tercemar ke dalam tubuh. Kondisi ini dapat mempengaruhi kesehatan melalui gangguan sistem imun (kekebalan) dan dapat diperparah oleh status gizi seseorang yang rendah.
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Judul: Konsumsi Lemak Dan Status Gizi Remaja di Bogor
Abstrak: Tujuan urnurn penelitian ini adalah untuk mengetahui konsumsi lemak dan kaitannya dengan faktor-faktor yang mempengaruhinya serta kaitan konsumsi lemak dengan status gizi remaja di kota dm desa. Secara khusus tujuan penelitian ini adalah; 1) mengetahui keadaan sosial ekonomi keluarga yang rneliputi pendidikan orang tua, pekerjaan orang tua, pendapatan orang tua, dan besarnya uang saku remaja; 2) mengetahui pengetahuan gizi remaja di kota dan desa; 3) mengetahui kebiasaan rnakan remaja di kota dan desa; 4) mengetabui komposisi lemak rner.urut jenis makanan surnber lemak dan jenis lemak yang dikonsumsi ~cmajad i kota dan desa; 5) mengetahui besar kontribusi lemak terhadap total konsumsi energi remaja di kota dan desa; 6) mengetahui kaitan konsumsi lemak dengan faktor-faktor ymg mernpengaruhinya serta kaitan antara konsumsi lemak dengan status gizi .
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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