Judul: Kebiasaan merokok, asupan zat gizi, status gizi, aktivitas fisik dan tingkat kebugaran kardiorespirasi remaja laki-laki SMKN 1 Metro
Abstrak: Penelitian ini bertujuan untuk menganalisis hubungan antara kebiasaan merokok, asupan zat gizi, status gizi, aktivitas fisik dan tingkat kebugaran kardiorespirasi. Penelitian ini menggunakan desain cross sectional study. Jumlah sampel dalam penelitian ini adalah 61 siswa. Hasil penelitian menunjukkan bahwa 71,4% sampel berada pada kategori perokok ringan. Status gizi sebagian besar sampel (>85%) berada pada kategori normal. Aktivitas fisik separuh sampel (>50%) berada pada kategori ringan. Tingkat kebugaran kardiorespirasi sebagian besar sampel (>96%) berada pada kategori rendah. Hasil uji korelasi Pearson menunjukkan bahwa jumlah batang rokok yang dihisap mempunyai hubungan negatif yang signifikan dengan tingkat kebugaran kardiorespirasi (r = -0509, p = 0,000) dan tidak terdapat hubungan yang signifikan antara jumlah batang rokok yang dihisap dengan aktivitas fisik dan status gizi.
Keyword: Smoking, Nutrient Intake, Natritional Status, Cardiorespiratory fitness levels, Physical activity

Judul: Gaya Hidup, Pola Konsumsi Pangan, Status Gizi, Dan Kebugaran Kardiorespiratori Satuan Pengamanan Institut Pertanian Bogor
Abstrak: Kebugaran kardiorespiratori ditentukan oleh jumlah maksimal oksigen per menit yang dimanfaatkan tubuh (VO2 max) untuk melakukan aktivitas fisik. Tujuan penelitian ini adalah menganalisis hubungan antara konsumsi kopi, kebiasaan merokok, aktivitas fisik, status gizi, tingkat kecukupan energi, protein dengan kebugaran kardiorespiratori satpam kampus IPB. Desain penelitian menggunakan metode cross sectional study. Pemilihan tempat penelitian dilakukan secara purposive dengan jumlah subjek sebanyak 72 orang dengan kriteria inklusi yaitu, laki-laki, tidak menderita penyakit jantung, dan bersedia menjadi subjek penelitian. Hasil uji Pearson menunjukkan terdapat hubungan signifikan (p<0.05) antara usia, status gizi, tingkat kecukupan energi, protein dengan kebugaran kardiorespiratori (VO2 max). Hasil Uji Spearmen menunjukkan tidak terdapat hubungan signifikan (p>0.05) antara konsumsi kopi, rokok, aktivitas fisik, dengan kebugaran kardiorespiratori (VO2 max). Faktor-faktor yang memengaruhi tingkat kebugaran kardiorespiratori berdasarkan hasil uji Regresi Linear adalah usia dan tingkat kecukupan energi (p<0.05).
Keyword: kebugaran kardiorespiratori, konsumsi pangan, status gizi, vo2 max.

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