Judul: Evaluasi Karakter Hortikultuta 10 Hibrida Hasil Persilangan 10 Genotipe Tetua Cabai Merah (Capsicum annuum L.) yang Ditanam Tanpa Naungan di Musim Hujan
Abstrak: Cabai merah (Capsicum annuum L.) melupakan salah satu komoditi hortikultura yaug banyak dibudidayakan di daerah tropik dan sub tropik. Budidaya cabai merah di Indonesia hampir dilakukan di seluruh daerah. Cabai merah dapat dimanfaatkan dalam bentuk cabai segar, kering, maupun olahan.
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Judul: Evaluasi sifat hortikultura 10 hibrida cabai< Capsicum annuum L. di kebun percobaan IPB Tajur
Abstrak: Penelitian ini dilakukan di kebun percobaan IPB Tajur selama enam bulan dari bulan Oktober 2005 sampai April 2006. Tujuan dari penelitian ini adalah untuk mempelajari dan mengevaluasi sifat hortikultura 10 hibrida cabai (C. annuum L.) dibandingkan dengan dua varietas hibrida yang sudah beredar di masyarakat. Rancangan yang digunakan pada penelitian ini adalah Rancangan Kelompok Lengkap Teracak (RKLT) dengan satu faktor, yaitu 10 hibrida cabai dan dua varietas pembanding, terdiri dari tiga ulangan sehingga seluruhnya terdapat 36 satuan percobaan dan setiap hibrida dalam satu ulangan terdiri dari 18 tanaman. Hibrida yang digunakan adalah sebagai berikut: IPB CH-7, IPB CH-9, IPB CH-10, IPB CH-23, IPB CH-27, IPB CH 30, IPB CH-32, IPB CH-35, IPB CH-36, IPB CH-38, serta dua varietas pembanding yaitu Hot Chilli dan Marathon. Karakter yang diamati adalah tinggi tanaman, lebar tajuk, diameter batang, tinggi dikotomous, panjang daun, lebar daun, bobot buah, bobot buah. total, bobot buah segar, biomassa segar, warna bunga, warna mahkota, posisi bunga, bentuk daun, panjang buah, diameter buah, waktu berbunga, waktu buah masak, dan bentuk buah...
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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