Judul: Pengembangan Pesan Pemasaran Sosial Anti Rokok Elektronik melalui Media Website.
Abstrak: Penelitian ini bertujuan untuk menganalisis perbedaan pengetahuan dan sikap mahasiswa pengguna dan bukan pengguna rokok elektronik pada kelompok kontrol dan perlakuan paparan pesan anti rokok elektronik melalui media website. Penelitian ini menggunakan metode kuasi eksperimen dengan melibatkan 100 mahasiswa pengguna dan bukan pengguna rokok elektronik di Institut Pertanian Bogor. Data dikumpulkan menggunakan kuesioner yang diisi secara langsung. Hasil penelitian ini menunjukkan bahwa terdapat perbedaan signifikan pada pengetahuan kelompok kontrol dan kelompok perlakuan pada mahasiswa pengguna dan bukan pengguna rokok elektronik. Selain itu, penelitian ini menunjukkan bahwa pesan anti rokok elektronik dapat meningkatkan pengetahuan dan mengubah sikap pengguna dan bukan pengguna rokok elektronik.
Keyword: sikap, perilaku, rokok elektronik, pengetahuan

Judul: Efektivitas Pesan Anti Rokok Elektronik Melalui Media Video.
Abstrak: Penelitian ini secara umum bertujuan menganalisis perbedaan pengetahuan dan sikap mahasiswa pengguna dan bukan perokok elektronik sebelum dan setelah terpapar pesan anti rokok elektronik. Responden dalam penelitian ini adalah 100 mahasiswa Universitas X yang berjumlah 50 perokok elektronik dan 50 bukan perokok elektronik. Responden dibagi menjadi empat kelompok, yaitu kelompok perokok elektronik perlakuan (terpapar informasi), kelompok bukan perokok elektronik perlakuan, kelompok perokok elektronik kontrol (tidak terpapar informasi), dan kelompok bukan perokok elektronik kontrol, pemaparan informasi melalui media video. Perancangan penelitian ini menggunakan quasi eksperimental dengan teknik pengambilan sampel menggunakan snowball sampling. Hasil penelitian menunjukkan bahwa terdapat perbedaan pengetahuan dan sikap yang signifikan pada empat kelompok responden mengenai rokok elektronik.
Keyword: Rokok Elektronik, Sikap, Pengetahuan, Pemasaran Sosial, Perilaku Pemakaian

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