Judul: Hubungan karakteristik responden dengan pembentukan brand image dan celebrity endorser produk Fresh Care pada mahasiswa kota Bogor
Abstrak: Semakin ketatnya persaingan dalam industri minyak angin aromatherapy membuat antar perusahaan bersaing dalam menarik perhatian konsumen untuk memertahankan pangsa pasar, salah satu strateginya, yaitu pembentukan brand Image yang kuat dan penggunaan celebrity endorser. Tujuan penelitian ini menganalisis hubungan karakteristik responden dengan pembentukan brand image dan celebrity endorser produk fresh care pada mahasiswa kota Bogor. Data primer didapatkan dengan kuesioner kepada 100 responden. Teknik penarikan contoh yang digunakan adalah network sampling dan analisis yang digunakan adalah analisis deskriptif dan uji khi kuadrat dengan tabulasi silang. Berdasarkan hasil uji khi kuadrat dengan tabulasi silang menunjukkan bahwa terdapat hubungan karakteristik responden dengan pembentukan brand image fresh care dikalangan mahasiswa kota Bogor dalam hal usia. Namun tidak terdapat hubungan karakteristik responden dengan celebrity endorser dikalangan mahasiswa kota Bogor….
Keyword: Brand image, Celebrity endorser, Chi-square test, Fresh Care

Judul: Analisis pengaruh persepsi promosi dan persepsi harga terhadap keputusan pembelian dan brand switching FreshCare Aromatherapy
Abstrak: Sejak lama masyarakat Indonesia mengenal produk minyak angin. Aroma dan kehangatannya dipercaya dapat meredakan berbagai penyakit ringan seperti flu, sakit kepala, mual, untuk penghangat tubuh, meredakan perut kembung, mabuk perjalanan, dan sebagai pelemas otot. Industri farmasi merupakan pasar global yang dinamis sehingga perlu respon yang cepat dan inovasi yang kreatif untuk perkembangan pasar. Penelitian ini bertujuan untuk menganalisis pengaruh persepsi promosi dan persepsi harga terhadap keputusan pembelian dan brand switching FreshCare Aromatherapy. Alat analisis yang digunakan dalam penelitian ini adalah tabulasi silang dan analisis regresi dengan jumlah sampel sebanyak 100 responden. Hasil tabulasi silang antara kepuasan dan loyalitas konsumen adalah adanya korelasi antara keduanya. Dengan menggunakan analisis regresi, dapat diketahui bahwa persepsi promosi tidak berpengaruh positif terhadap keputusan pembelian pada konsumen, sedangkan persepsi harga berpengaruh positif terhadap keputusan pembelian. Dari hasil kuesioner telah diketahui pula bahwa sebagian besar konsumen puas dan tidak akan berpindah merek.
Keyword: Bogor Agricultural University, Institut Pertanian Bogor, IPB, Brand switching, Cross tabulation, Freshcare, Regression analysis

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