Judul: Kajian Literatur Identifikasi Komponen Bioaktif Antiinflamasi Rimpang Jahe (Zingiber officinale) dan Stabilitasnya terhadap Suhu Pengolahan
Abstrak: Jahe (Zingiber officinale R) adalah rempah-rempah yang sejak dahulu dikenal oleh masyarakat Indonesia. Pemanfaatan jahe adalah sebagai penambah cita rasa makanan dan obat tradisional. Berbagai penyakit yang mewabah dunia mendorong ilmuwan untuk mencari herbal yang membantu meringankan gejala penyakit yang salah satunya bersumber dari jahe. Jahe diketahui memiliki aktivitas antiinflamasi sehingga dapat mengendalikan inflamasi yang merupakan gejala berbagai penyakit infeksi. Aktivitas antiinflamasi pada jahe terutama karena kandungan gingerol dan shogaol yang bekerja dengan cara menghambat kerja enzim COX dan produksi NO. [6]-shogaol adalah senyawa bioaktif yang paling efektif dalam menghambat inflamasi. Pengolahan jahe yang melibatkan pemanasan memberikan dampak positif terhadap aktivitas antiinflamasi jahe. Kadar [6]-shogaol jahe meningkat selama pemanasan akibat reaksi dehidrasi [6]gingerol menjadi [6]-shogaol.
Keyword: Antiinflamasi, jahe, pengolahan jahe, stabilitas panas, [6]-shogaol

Judul: Ekstraksi Senyawa Gingerol dari Rimpang Jahe dengan Metode Maserasi Bertingkat
Abstrak: Jahe (Zingiber officinale) adalah rempah penting yang banyak digunakan baik pada industri makanan, minuman dan farmasi. Komponen bioaktif jahe yang diekstrak adalah 6-, 8-, 10-gingerol dan 6-shogaol. Penelitian ini bertujuan membuat ekstrak jahe dengan metode maserasi bertingkat menggunakan 3 pelarut, yaitu heksana, etil asetat dan etanol dan perlakuan waktu yang berbeda. Pengukuran dilakukan terhadap ekstrak jahe dan rendemen bioaktif. Analisis proksimat serbuk jahe kering menunjukkan kadar karbohidrat yang tinggi. Ekstrak jahe tertinggi diperoleh saat menggunakan pelarut etanol selama 6 jam dan kandungan senyawa bioaktif tertinggi diperoleh saat ekstraksi menggunakan pelarut heksana selama 6 jam namun kadar masing-masing senyawa bioaktif tertinggi diperoleh pada jenis pelarut dan waktu ekstrak yang berbeda. Kadar senyawa 6-, 8-, 10-gingerol dan 6-shogaol tertinggi berhasil diekstrak secara berurutan 24%, 32%, 46% dan 29%.
Keyword: jahe, gingerol, maserasi bertingkat

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