Judul: Status Anemia dan Prestasi Belajar Siswa/i Madrasah Aliah Pesantren Al-Hamidiyah Depok
Abstrak: Penelitian ini bertujuan untuk mempelajari status anemia dan prestasi belajar siswa/i Madrasah Aliah Pesantren Al-Hamidiyah Depok. Penelitian ini menggunakan desain cross sectional dengan melibatkan 63 siswa dan dilaksanakan pada bulan Februari sampai Maret 2016. Contoh adalah siswa dan siswi kelas satu Madrasah Aliah Pesantren Al-Hamidiyah Depok. Pengumpulan data karakteristik contoh, sosial ekonomi keluarga, dan konsumsi pangan dilakukan dengan cara pengisian kuesioner; kadar hemoglobin contoh didapatkan dengan menggunakan alat Easy Touch GcHb; dan prestasi belajar diestimasi berdasarkan nilai rata-rata ujian tengah semester yang diperoleh dari sekolah. Hasil studi menunjukkan bahwa tingkat kecukupan energi dan zat gizi dari kedua kelompok contoh masih dibawah standar AKG 2013 dengan tingkat kecukupan energi (68.4%), protein (78%), kalsium (27.4%), fosfor (44.4%), vitamin C (25.4%), dan zat besi (63%), kecuali vitamin A (128.2%). Sebagian besar contoh (65.1%) mengalami anemia dan lebih dari tiga perempat (73.2%) contoh yang anemia adalah perempuan. Hasil uji korelasi menunjukkan bahwa terdapat hubungan signifikan positif antara tingkat kecukupan zat besi dengan kadar Hb (p<0.05, r=0.522) tetapi tidak terdapat hubungan antara tingkat kecukupan protein dengan kadar Hb (p>0.005, r=0.078). Tidak terdapat perbedaan signifikan (p>0.05) prestasi belajar dan tingkat kecukupan zat besi antara contoh anemia dan contoh yang tidak anemia.
Keyword: prestasi belajar, remaja, status anemia

Judul: Hubungan status anemia dan prestasi belajar pada siswi SMPN 1 Dramaga, Bogor, Provinsi Jawa Barat
Abstrak: Penelitian ini secara umum bertujuan untuk mengetahui hubungan antara status anemia dengan prestasi belajar siswi SMP. Tujuan khusus penelitian ini adalah untuk mengetahui karakteristik siswi yang meliputi umur, etnis (suku) siswi, pendidikan orangtua, pekerjaan orangtua dan pendapatan orangtua, mengetahui kebiasaan makan pangan sumber Fe dan vitamin C, dan konsumsi energi, protein, Fe dan vitamin C siswi anemia dan non anemia, mengetahui prestasi belajar siswi anemia dan non anemia dan menganalisis hubungan status anemia dengan prestasi belajar siswi.
Keyword: anemia

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