Judul: Mempelajari Pengaruh Penggunaan Alat Pereduksi Gas Ethylene (C2H4) terhadap Karakteristik Penyimpanan Buah Pisang Raja Sere (Musa paradisiaca L)
Abstrak: Pisang terrnasuk salah satu jenis buah tropis yang mempunyai potensi cukup tinggi untuk dikelola secara intensif berorientasi agribisnis. Dewasa ini pisang telah menjadi mata dagang ekspor dan impor di pasar intemasional. Buah pisang banyak disukai konsumen karena disamping murah dan mudah didapat, rasanya juga enak dan memiliki kandungan gizi yang cukup tinggi.
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Judul: Karakterisasi 3 jenis buah pisang raja pada kondisi segar
Abstrak: Penelitian ini bertujuan untuk mempelajari karakteris- tik atau sifat-sifat fisiko-kimia pisang raja bulu, raja sereh, dan raja siam dalam rangka pengembangan potensi pemanfaatan dan pemasaran pisang raja. Di desa Cimahpar dan Sukaraja Bogor, pemanenan pisang dilakukan setelah buah cukup tua yaitu pada umur panen seki-. tar 170 hari untuk pisang raja bulu dan raja siam, sedangkan raja sereh sekitar 150 hari. Tanda-tanda siap panen untuk pisang raja bulu, raja sereh, dan raja siam pada umumnya sama yaitu daun-daun pisang mengering, kecuali 2 4 helai daun di bagian ujung. Selain itu tangkai bekas putik yang telah kering dan berwarna hitam pada ujung buah pisang telah gugur, dan bentuk penampang melintang buah sudah agak mem- bulat atau sudut-sudut pada sisi pinggir buah sudah tidak tampak jelas. Pemanenan pisang raja bulu, raja sereh, dan raja siam. dilakukan secara tradisional dengan cara memotong tangkai tandannya. Pisang diperam oleh pedagang pisang di pasar dalam bentuk tandan dengan menggunakan karbid selama 24 jam. Selanjutnya pisang dijual kepada pedagang pengecer atau di- jual langsung kepada konsumen dalam bentuk tandan atau sisir. ...
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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