Judul: Respon mahasiswa terhadap tayangan iklan produk minuman berenergi di televisi (kasus pada mahasiswa strata 1 Institut Pertanian Bogor)
Abstrak: Penelitian ini dilatarbelakangi oleh peluang bisnis di sektor minuman berenergi yang tetap menggiurkan yang dicirikan oleh permintaan akan produk -produk minuman berenergi yang juga terus meningkat. Maraknya tayangan iklan produk minuman berenergi di televisi, merupakan bagian dari rangkaian promosi. Tujuan dari penelitian ini adalah menganalisis respon mahasiswa terhadap tayangan iklan produk minuman berenergi di televisi berdasarkan jenis kelamin, serta menganalisis hubungan keterdedahan individu dengan respon mahasiswa terhadap tayangan iklan produk minuman berenergi dilihat dari aspek kognisi, afeksi dan konasi.
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Judul: Analisis persepsi konsumen terhadap endorser iklan di televisi dan hubungannya dengan keputusan pembelian (Kasus: Iklan Kuku Bima Ener-G)
Abstrak: Aktifitas masyarakat yang terus meningkat, permintaan akan produkproduk minuman suplemen juga terus bertambah. Permintaan pasar terus meningkat tajam, tahun 2005 volume pasar minuman energi menyerap 314 juta liter atau 563 sachet dengan pertumbuhan 12 persen dengan peningkatan jumlah produksi dari tiga pabrik dengan lima item produk menjadi 12 pabrik dengan 50 item produk. Persaingan pasar minuman energi cukup ketat, Extra Joss selaku pemimpin pasar dalam beberapa tahun terakhir mengalami penurunan, posisinya direduksi oleh Kuku Bima Ener-G, strategi yang dilakukan yaitu dengan mengoptimalkan unsur 4P (Product, Price, Placement, Promotion) dengan prestasi antara lain: meraih delapan nominasi penghargaan, dan dibeberapa daerah menempati posisi pertama. Strategi pemasaran yang dilakukan Kuku Bima Ener- G adalah dengan promosi, salah satu bentuk promosi Kuku Bima Ener-G adalah dengan mengunakan tokoh yang berbeda dari berbagai latar belakang sebagai endorser dalam iklannya, mulai dari Mbah Maridjan, Chrish Jhon, Ade Ray, Vega Darwanti Ngatini, Doni Kesuma, Rieke Diah Pitaloka. Hasilnya, Kuku Bima Ener-G meraih prestasi pejualan sampai 500 persen, dan penampilan Mbah Marijan diperkirakan memberikan kontribusi 250 persen.
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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