Judul: Pengaruh Karakteristik Pengunjung dan Penggunaan Media Komunikasi Pemasaran terhadap Intensitas Kunjungan Agrowisata Taman Bunga Nusantara (TBN)
Abstrak: Penggunaan media komunikasi pemasaran berguna untuk memberikan informasi dan mempromosikan keunikan serta keunggulan objek agrowisata beserta fasilitas dan kegiatannya, sehingga dapat meningkatkan intensitas kunjungan. Tujuan dari penelitian ini adalah untuk menganalisis karakteristik pengunjung Taman Bunga Nusantara, untuk menganalisis penggunaan media komunikasi pemasaran, dan menganalisis pengaruh kedua peubah tersebut terhadap intensitas kunjungan Agrowisata Taman Bunga Nusantara. Penelitian menggunakan pendekatan kuantitatif dengan metode survei menggunakan instrumen kuesioner dan didukung pendekatan kualitatif dengan teknik deskriptif explanatory. Teknik pengambilan data menggunakan accidental sampling dimana peneliti menentukan responden secara spontanitas dan mewakili populasi berdasarkan kriteria yang telah ditetapkan. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh karakteristik pengunjung terhadap penggunaan media komunikasi pemasaran dan terdapat pengaruh karakteristik pengunjung dan penggunaan media komunikasi pemasaran terhadap intensitas kunjungan Agrowisata Taman Bunga Nusantara
Keyword: agrowisata, intensitas kunjungan, karakteristik pengunjung Taman Bunga Nusantara, komunikasi pemasaran, penggunaan media

Judul: Efektivitas Media Komunikasi Pemasaran Agrowisata Kuntum Nurseries, Bogor
Abstrak: Marketing communication media is a channel form of communication media message to audiences. The purposes of this research are to analyze the characteristic of Kuntum Nurseries visitors, to analyze marketing communication media strategy, also to analyze factors that influence the marketing communication media effectivity agrotourism towards point of view of cognitive, affective and conative aspects. In this study, the agrotourism studied was Kuntum Nurseries one of agrotourism that deserve agricultural tour. The result of this research showed that marketing communication media effectivity was influenced by revenue frequency variable towards marketing communicaion media effectivity, especially cognitive and conative aspects.
Keyword: marketing communication media, effectivity, agrotourism

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