Judul: The Relationship between Personal and Environment Factors and Consumer's Perception on Tent Cde in Monas Park, Jakarta
Abstrak: Secara umum penelitian ini bertujuan untuk mengetahui hubungan antara faktor individu dan lingkungan dengan persepsi konsumen terhadap kafe tenda. Secara khusus bertujuan untuk mengetahui profil konsumen kafe tenda, mengetahui persepsi konsumen terhadap kafe tenda, mengetahui karakteristik kafe tenda yang dominan mmbentuk persepsi konsumen terhadap kafe tenda, mengetahui hubungan faktor individu dengan persepsi konsumen terhadap kafe tenda, dan mengetahui hubungan faktor lingkungan dengan persepsi konsumen terhadap kafe tenda.
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Judul: Analisis konsumen kafe dengan melihat faktor-faktor yang mempengaruhi perilaku konsumen: Studi kasus pada konsumen di Plaza Indonesia, Plaza Senayan dan Pondok Indah Mal
Abstrak: Kafe sebagai salah satu jenis restoran, berkembang sangat pesat tiga tahun terakhir ini. Hal ini terbukti dari 200 restoran yang ada di Jakarta, 105 diantaranya adalah kafe. Begitu berkembangnya kafe di Jakarta sehingga batasan yang pasti tentang kafe menjadi kabur. Yang dapat membedakan kafe dengan jasa pelayanan makanan Iainnya (restoran) adalah pada komponen hiburan (entertainment) yang ditawarkan. Tidak seperti restoran, harga yang ditawarkan oleh kafe cenderung lebih mahal. Hal ini disebabkan biaya untuk ,nemberikan hiburan pada konsumen dibebankan pada harga makanan/minuman yang ditawarkan oleh kafe tersebut. Perkembangan kafe ini tentunya tidak lepas dari peran konsumen kafe itu sendiri. Sama seperti usaha yang lain, pada usaha kafe, konsumen juga merupakan bagian yang paling menentukan dalam keberhasilan. Hal ini menyebabkan pengusaha kafe perlu mengetahui siapa dan bagaimana konsumen yang dilayani sehingga dapat dipuaskan. Analisis dari konsumen ini dapat dilakukan dengan mengetahui faktor-faktor yang mempengaruhi konsumen tersebut. Telah diketahui bahwa ada tiga faktor penting yang mempengaruhi konsumen yaitu faktor perbedaan pribadi, faktor pengaruh lingkungan dan faktor pengaruh bauran pemasaran.
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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