Judul: Keanekaragaman Spesies Tumbuhan yang Berpotensi sebagai Pangan Fungsional di Kebun Raya Bogor.
Abstrak: Tumbuhan memegang peranan penting dalam mendukung tercapainya ketahanan pangan. Pangan fungsional merupakan makanan yang diperkirakan atau telah dibuktikan dapat meningkatkan status kesehatan manusia. Tujuan penelitian ini yaitu mengidentifikasi spesies tumbuhan yang berpotensi pangan fungsional, menentukan status konservasi spesies tumbuhan pangan fungsional, dan mengidentifikasi pengetahuan pengunjung tentang tumbuhan pangan fungsional di Kebun Raya Bogor. Penelitian dilakukan dengan metode inventarisasi potensi, wawancara, dan studi pustaka. Hasil penelitian menunjukkan bahwa tumbuhan yang berpotensi pangan fungsional di Kebun Raya Bogor teridentifikasi sebanyak 70 spesies dari 115 spesies tumbuhan yang berpotensi pangan dengan spesies tumbuhan terbanyak dari famili Fabaceae (14.29%). Habitus tumbuhan didominasi oleh pohon (72.86%). Spesies tumbuhan yang masuk kedalam kategori extinct in the wild yaitu Mangifera casturi yang merupakan flora identitas daerah Kalimantan Selatan. Pengetahuan pengunjung mengenai tumbuhan pangan fungsional didominasi oleh perempuan.
Keyword: pangan fungsional, kebun raya bogor, status konservasi

Judul: Keanekaragaman Spesies Tumbuhan Liar yang Berpotensi sebagai Obat di Kebun Raya Bogor
Abstrak: Kebun Raya Bogor (KRB) adalah kawasan konservasi tumbuhan secara exsitu yang terdapat sistem pendokumentasian pada koleksi tumbuhannya. Tidak hanya tumbuhan koleksi namun terdapat tumbuhan liar yang tumbuh di sekitar kebun. Tumbuhan liar dianggap tidak bernilai karena belum banyak diketahui atau digali potensinya untuk dimanfaatkan sebagai tumbuhan obat. Tujuan penelitian ini antara lain mengidentifikasi keanekaragaman spesies tumbuhan liar di KRB yang berpotensi sebagai obat dan menentukan status konservasinya. Penelitian dilakukan dengan metode observasi lapang berupa eksplorasi pada 7 Taman di KRB. Tumbuhan obat teridentifikasi sebanyak 262 spesies dari 83 famili, didominasi oleh suku Fabaceae (9.54%), bagian tumbuhan yang paling banyak digunakan adalah daun (42.3%), habitus didominasi oleh pohon (38.17%) dan digunakan untuk penyakit saluran pencernaan sebanyak 94 spesies. Dari 262 spesies teridentifikasi 34 spesies tumbuhan yang masuk kedalam kategori IUCN salah satunya yaitu Dryobalanops lanceolata Burck termasuk Endangered species, 3 spesies termasuk kategori tumbuhan langka, dan 6 spesies masuk ke dalam flora identitas daerah.
Keyword: kebun raya bogor, status konservasi, tumbuhan obat

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