Judul: Identifikasi Bakteri Patogen Rhizosfer Pada Palem Raja (Roystonea elata Bartr.)
Abstrak: Palem merupakan kelompok tamman yang sangat menarik baik dari segi ilmu tumbuh-tumbuhan maupun dari segi keindahan bentuk, keanekaragaman jenis dan kegunaanya sehingga sangat potensial sebagai salah satu tanaman hias yang banyak diminati. Sama halnya dengan tanaman lain, tanaman palem tidak luput dari serangan hama dan penyakit yang sebagian besar belum diketahui penyebabnya.
Keyword: 

Judul: Penapisan Pseudomonas spp. dari Rizosfer Tanaman Kedelai yang Berpotensi sebagai Rizobakteria Pemacu Pertumbuhan Tanaman dan Biokontrol Fungi Patogen
Abstrak: Sejumlah bakteri mempunyai peranan penting di bidang pertanian karena berperan dalam berbagai proses kunci pada ekosistem seperti sebagai biokontrol patogen tanaman, pada siklus nutrisi, dan persemaian. Bakteri yang berperan di bidang pertanian tersebut mempunyai karakteristik mampu memacu pertumbuhan tanaman (Plant-Growth Promoting Rhizobacteria, PGPR), dengan karakter dapat berkoloni di rizosfer, mampu memproduksi berbagai hormon pertumbuhan, yaitu asam indol asetat (indol acetic acid, IAA), asam giberelin, sitokinin dan etilen; menambat N2, menekan pertumbuhan mikroorganisme fitopatogen dengan memproduksi siderofor, -1,3-glukanase, kitinase, antibiotik dan sianida; melarutkan fosfat; dan penyedia nutrien lainnya. Salah satu bakteri yang ditemukan secara luas di dalam ekosistem tanah rizosfer adalah Pseudomonas spp., yang mampu mendegradasi dan menggunakan sejumlah besar senyawa organik, berinteraksi dengan tanaman dan berasosiasi dalam rizosfer. Beberapa galur Pseudomonas mampu memproduksi siderofor dan IAA, melarutkan fosfat, dan menghambat pertumbuhan cendawan secara in vitro. Dengan adanya kemampuan ini, beberapa Pseudomonas spp. merupakan bakteri yang dapat berperan sebagai pemacu pertumbuhan tanaman dan sekaligus sebagai agen biokontrol mikroba patogen tanaman.
Keyword: 

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