Judul: Konsumsi Pangan, Status Gizi, Akivitas Fisik, Status Kesehatan dan Status Hidrasi Mahasiswa TPB IPB Angkatan 2014.
Abstrak: Penelitian ini bertujuan untuk menganalisis konsumsi pangan, status gizi, aktivitas fisik, status kesehatan dan status hidrasi mahasiswa TPB IPB angkatan 2014 dengan desain penelitian cross sectional study. Jumlah subjek dalam penelitian ini 97 mahasiswa. Hasil penelitian menunjukkan bahwa sebagian besar subjek memiliki tingkat kecukupan zat gizi termasuk defisit berat dan tingkat kecukupan air termasuk kurang. Subjek dengan status gizi normal sebanyak 71.1%. Selanjutnya juga diketahui bahwa sebesar 35.1% subjek mempunyai status hidrasi kurang dan sebesar 10.3% subjek mempunyai status hidrasi sangat kurang. Tidak ada hubungan yang signifikan antara status gizi dengan status hidrasi dan tingkat kecukupan zat gizi (p>0.05). Terdapat hubungan yang signifikan antara status gizi dengan persen lemak tubuh (p=0.000, r= 0.711). Terdapat hubungan yang signifikan antara status hidrasi dengan tingkat kecukupan air berdasarkan kebutuhan air yang dihitung dengan rumus The National Research Council (NRC) (p=0.018, r=-0.240). Tidak terdapat hubungan yang signifikan antara status hidrasi dengan tingkat kecukupan air berdasarkan kebutuhan air yang dihitung dengan rumus Body Surface Area (BSA) dan berat badan (p>0.05).
Keyword: air, hidrasi, status gizi, zat gizi

Judul: Hubungan perilaku gizi seimbang, pola makan, phbs dan aktivitas fisik terhadap status gizi mahasiswa gizi IPB.
Abstrak: Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan gizi Seimbang, sikap gizi, praktik gizi, pola makan, pola aktivitas fisik dan PHBS terhadap status gizi pada mahasiswa gizi IPB. Desain penelitian ini adalah cross sectional study. Subjek penelitian ini adalah 58 mahasiswa IPB ilmu gizi. Data pengetahuan gizi seimbang, sikap, praktik, pola makan, pola aktivitas fisik, PHBS dan konsumsi pangan diperoleh melalui metode wawancara langsung. Penelitian ini dilaksanakan pada bulan Mei-Juni 2015. Tingkat pengetahuan responden tergolong 5.2% rendah, 27.6% sedang dan 67.2% tinggi. Praktek gizi seimbang responden sebagian besar tergolong sedang (84.5%). Sikap gizi seimbang responden sebagian besar tergolong sedang (55.2%). Tingkat aktivitas responden sebagian besar tergolong ringan. Tingkat kecukupan energi, protein dan lemak responden tergolong defisit berat sedangkan tingkat kecukupan karbohidrat responden tergolong berlebih. Tidak terdapat hubungan signifikan antara pengetahuan, sikap, dan praktik gizi, pola aktivitas, PHBS tingkat kecukupan energi dan protein dengan status gizi (p>0.05).
Keyword: pengetahuan gizi seimbang, praktik gizi, sikap gizi, PHBS, pola aktivitas

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