Judul: Penyusunan modul pendidikan konservasi tumbuhan obat untuk siswa SDN Gunung Leutik, Kecamatan Ciampea, Kabupaten Bogor
Abstrak: Pengetahuan tentang tumbuhan obat di kalangan masyarakat sebaiknya perlu diwariskan kepada anak-anak sejak dini baik melalui pendidikan formal maupun informal, dengan harapan adanya pemanfaatan tumbuhan obat secara berkelanjutan. Strategi yang dapat dilakukan agar pendidikan konservasi tumbuhan obat dapat dirasakan anak-anak adalah melalui penelitian tentang penyusunan modul pendidikan konservasi tumbuhan obat untuk siswa sekolah dasar. Tujuannya adalah menyusun dan menguji modul pendidikan konservasi tumbuhan obat yang efektif untuk mengembangkan pengetahuan dan menumbuhkan sikap konservasi tumbuhan obat pada siswa sekolah dasar.
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Judul: Manfaat Kampung Konservasi Tumbuhan Obat Keluarga (Toga) Gunung Leutik, Desa Benteng Ciampea Bogor
Abstrak: Revitalisasi konservasi untuk kemandirian kesehatan dapat dicapai dengan pembentukkan kampung konservasi contohnya Kampung Konservasi TOGA Gunung Leutik. Penelitian bertujuan untuk mengidentifikasi manfaat Kampung Konservasi TOGA Gunung Leutik, berupa pemanfaatan tumbuhan obat, dampaknya terhadap kesehatan dan ekonomi masyarakat. Metode pengumpulan data menggunakan wawancara open-ended, studi literatur, dan observasi lapang. Hasil menunjukkan terdapat 152 jenis tumbuhan obat dari 57 famili yang dimanfaatkan, dengan famili tumbuhan obat yang paling banyak digunakan adalah Zingiberaceae dan Asteraceae. Hasil perhitungan Index of Cultural Significance (ICS) menunjukkan jenis yang pemanfaatannya tertinggi, yaitu jahe merah (Zingiber officinale), temulawak (Curcuma xantorrizha), dadap (Erythrina lithosperma), sambiloto (Andrographis paniculata), suji (Dracaena angustifolia), sirih (Piper betle), sembung (Blumea balsamifera), kencur (Kaempferia galanga), lempuyang (Zingiber aromaticum), dan kunyit (Curcuma domestica). Pencanganan Kampung Konservasi Gunung Leutik memberikan dampak positif bagi kesehatan dan ekonomi masyarakat.
Keyword: kampung konservasi TOGA, pemanfaatan, 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