Judul: Pengaruh Peran Ayah Terhadap Kecenderungan Merokok Siswa Smp Di Perdesaan Bogor
Abstrak: Permasalahan remaja khususnya kecenderungan merokok sangat memprihatinkan di Indonesia saat ini. Penelitian ini bertujuan untuk menganalisis pengaruh peran ayah terhadap kecenderungan merokok siswa SMP di perdesaan Bogor. Desain penelitian ini menggunakan cross sectional study dengan metode survei secara self-administered menggunakan kuesioner. Penelitian ini melibatkan 60 siswa kelas tujuh dan delapan yang berasal dari keluarga lengkap di dua SMP Kecamatan Pamijahan, Kabupaten Bogor yang dipilih secara proportional random sampling. Hasil uji regresi logistik menunjukkan bahwa lama pendidikan ayah dan gaya pengasuhan otoritatif ayah berpengaruh negatif terhadap kecenderungan merokok siswa. Sementara itu, gaya pengasuhan permisif ayah berpengaruh positif terhadap kecenderungan merokok siswa.
Keyword: gaya pengasuhan, kecenderungan merokok siswa, peran ayah, perdesaan, remaja

Judul: Pengaruh Komunikasi Orangtua-Remaja dan Paparan Media Negatif terhadap Perilaku Pornografi Remaja di Perdesaan Bogor
Abstrak: Perilaku pornografi marak dilakukan oleh remaja di abad ini. Komunikasi antara orangtua dengan remaja tidak seluruhnya berkualitas baik, di sisi lain media negatif sangat mudah diakses oleh remaja. Hal ini berpotensi meningkatkan perilaku pornografi pada remaja. Tujuan dari penelitian ini adalah menganalisis pengaruh komunikasi orangtua dengan remaja dan paparan media negatif terhadap perilaku pornografi remaja di perdesaan Bogor. Desain penelitian ini menggunakan cross sectional study dengan melibatkan 60 remaja usia 15-19 Lahun yang duduk di kelas 10 dan 11 SMK yang dipilih melalui teknik Proportional random sampling. Hasil uji regresi menunjukkan paparan media negatif dan usia ayah berpengaruh positif signifikan terhadap perilaku pornografi remaja di perdesaan Bogor (adjusted R²-0.206; p<0.1)….
Keyword: Adolescents, Negative media exposure, Parent-adolescent communication, Pornography, Rural, Human ecology, Crpss sectional study, Family school partnership, Communication media

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