Judul: Perilaku Remaja Terhadap Aspek Keamanan Makanan Jajanan
Abstrak: Tujuan umum penelitian ini untuk mengetahui perilaku remaja terhadap aspek keamanan makanan jajanan. Tujuan khususnya adalah: (1) Mengetahui pengetahuan, sikap, praktek, dan sumber informasi remaja tentang aspek keamanan makanan jajanan; (2) menganalisis hubungan antara karakteristik individu (jenis kelamin, uang jajan, dan prestasi belajar) dengan pengetahuan, sikap, dan praktek remaja terhadap aspek keamanan makanan jajanan; (3) menganalisis hubungan antara pengetahuan remaja terhadap aspek keamanan makanan jajanan dengan sikap dan praktek remaja terhadap aspek tersebut; (4) menganalisis hubungan antara sikap remaja terhadap aspek keamanan makanan jajanan dengan praktek remaja terhadap aspek tersebut.
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Judul: Pengetahuan gizi dan keamanan pangan jajanan serta kebiasaan jajan siswa sekolah dasar di Depok dan Sukabumi
Abstrak: Tujuan umum penelitian adalah mengidentifikasi dan menganalisis pengetahuan gizi dan keamanan pangan jajanan serta kebiasaan jajan siswa sekolah dasar di wilayah Depok dan Sukabumi. Tujuan khususnya adalah mengidentifikasi karakteristik sampel, karakteristik orangtua sampel, pengetahuan gizi dan keamanan pangan, kebiasaan jajan sampel, serta menganalisis hubungan karakteristik sampel dan keluarga sampel dengan pengetahuan gizi dan keamanan pangan. Desain penelitian yang digunakan adalah cross sectional study. Data yang digunakan merupakan data dari Survei “Montoring dan Verifikasi Profil Keamanan Pangan Jajanan Anak Sekolah (PJAS) Nasional Tahun 2008”, yang dilakukan oleh Southeast Asian Food and Agricultural Science and Technology (SEAFAST) Center, LPPM IPB. Data penelitian ini dianalisis pada bulan Juni 2010. Populasi siswa berjumlah 905 di wilayah Depok dan 248 di wilayah Sukabumi, diambil sampel sebanyak 105 siswa, 82 dari Depok dan 23 Sukabumi.
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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