Judul: Potensi aktivitas antioksidan pada kulit kayu dan daun tanaman akway (Drymis sp.)
Abstrak: Akway is the endemic papua plant which predicted to have antioxidation activity. This research aim was to measure antioxidation activity and phytochemistry analysis contain from three species akway plants (Drimys piperita, Drimys beccariana, dun Drimys arfakensis) and also to determine the best solvent extraction have given the highest antioxidant activity.
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Judul: Aktivitas Antioksidan dan Tabir Surya Ekstrak Kulit Kayu Akway (Drymis sp.).
Abstrak: Akway merupakan salah satu tanaman obat yang berpotensi dalam bidang kesehatan. Beberapa penelitian menunjukan bahwa kandungan kimia kulit akway berpotensi sebagai antioksidan dan tabir surya. Namun belum ada penelitian lebih lanjut mengenai sifat antioksidan dan tabir surya ekstrak kulit akway yang diekstraksi menggunakan pelarut etanol. Penelitian ini bertujuan untuk mengidentifikasi sifat antioksidan, tabir surya dan fitokimia ekstrak kulit akway menggunakan pelarut etanol. Aktivitas antioksidan diuji menggunakan metode DPPH, pengujian tabir surya dilakukan secara in vitro menggunakan spektrofotometri dengan 3 konsentrasi larutan uji, serta analisis fitokimia secara kualitatif dan kuantitatif dengan GCMS. Hasil uji menunjukan bahwa ekstrak akway dengan pelarut E100 memiliki sifat antioksidan sangat kuat dengan nilai IC50 sebesar 9.68, sedangkan ekstrak E75 konsentrasi 500 ppm memiliki aktivitas tabir surya dengan nilai SPF tertinggi sebesar 16.95. Analisis fitokimia kualitatif menunjukan bahwa semua sampel uji mengandung senyawa fenol, flavonoid, tanin, saponin, dan triterpenoid. Kandungan fenol total tertinggi didapatkan oleh ekstrak E50 sebesar 11.91%. Hasil uji GCMS menunjukan senyawa-senyawa yang mendominasi pada ekstrak E100 yaitu 2-asetil-6-(t-butil)-4-metilfenol, driminol, (1S,3R,6R) Isopropenil-1,6-dimetil bicycle [4.3.0] nonan-8-, poligodial dan metoksieugenol. Sedangkan pada E75 yaitu 2-asetil-6-(t-butil)-4-metilfenol, driminol, metoksieugenol, Benzo[e]isobenzofuran-1,4-dione, 1,3,4,5,5a,6,7,8,9, 9a-dekahidro-6,6,9a-trimetil, dan 2,3-Dicyano-5-metil-7-fenil-1,4,6H-diazepine.
Keyword: ekstrak etanol, fitokimia, total fenol, GCMS

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