Judul: Kelayakan Investasi Usaha Pembibitan Krisan PT. Transplants Indonesia di Kecamatan Cugenang Cianjur
Abstrak: Bunga krisan merupakan salah satu tanaman yang dapat dijadikan usaha budidaya bunga potong dan bunga pot. Usaha pembibitan dan budidaya bunga krisan beberapa tahun terakhir mengalami perkembangan yang cukup pesat. Permintaan bunga krisan pada pasar dalam negeri diperkirakan meningkat sebesar 15% per tahun, sedangkan pada pasar luar negeri pcrmintaan bunga krisan tersebut diperkirakan meningkat sebesar 20% per tahun (Warta, 2000).
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Judul: Analisis  kelayakan usaha bunga potong krisan glory farm, Kecamatan Sukaresmi, Kabupaten Cianjur, Jawa Barat
Abstrak: Krisan merupakan salah satu bunga yang menjadi produk utama dalam produksi tanaman hias nasional. Volume jual krisan potong di PusP2HPHH Rawa Belong Jakarta merupakan volume jual rata-rata tertinggi jika dibandingkan dengan bunga potong lainnya. Glory Farm merupakan perusahaan yang bergerak di bidang usaha bunga potong krisan. Saat ini Glory Farm sedang menghadapi kelebihan permintaan bunga potong krisan, sehingga pihak manajemen sedang mempertimbangkan rencana investasi, baik itu melalui penambahan investasi ataupun melalui pemilihan alternatif pola usaha yang akan memberikan tingkat pengembalian yang lebih besar. Penelitian ini bertujuan untuk mengkaji keragaan sistem usaha bunga potong krisan Glory Farm, mencari alternatif pola usaha, menganalisis kelayakan usaha bunga potong krisan Glory Farm dari aspek pasar, aspek teknis, aspek hukum, aspek manajemen, aspek ekonomi sosial, dan aspek keuangan, menganalisis kelayakan finansial pola usaha alternatif, serta menganalisis kelayakan finansial pola usaha berjalan ataupun pola usaha alternatif apabila terjadi perubahan harga input, perubahan harga output dan perubahan produksi. cipta...
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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