Judul: Antidiarrheal Effect of Turmeric (Curcuma longa Linn.) and Bitter Melon (Momordica charantia Linn.) Ethanolic Extract Combination in Mice (Mus musculus)
Abstrak: Kunyit (Curcuma longa Linn.) merupakan tanaman yang banyak dibudidayakan di Indonesia dan umum digunakan sebagai bahan tambahan makanan atau digunakan sebagai obat. potensi kunyit sebagai obat sudah diketahui sejak lama dan di beberapa penelitian sudah dibuktikan efek farmakologisnya. Buah pare (Momordica charantia Linn.) biasa digunakan sebagai bahan olahan makanan di beberapa negara selain digunakan untuk tujuan terapeutik. Kunyit dan buah pare mengandung flavonoid, tanin, alkaloid, saponin, dan sterol yang dilaporkan memiliki aktivitas antidiare. Penelitian ini dilakukan untuk mengamati dan mengevaluasi efek antidiare kombinasi ekstrak etanol kunyit dan buah pare pada mencit. Metode proteksi diare menggunakan 25 ekor mencit dan dibagi menjadi 5 kelompok kemudian diberikan Tween-80 1%, Loperamid HCl 0.26 mg/kg BB, kombinasi ekstrak etanol dosis 20 mg/kg BB, 40 mg/kg BB, 80 mg/kg BB, lalu setelah 1 jam diberikan oleum ricini 0.5 mL peroral. Metode transit intestinal menggunakan 20 ekor mencit dan dibagi menjadi 5 kelompok. Metode ini dilakukan dengan memberikan 5 perlakuan berbeda lalu diberikan tinta cina sebagai marker setelah 45 menit secara peroral. Data dianalisis dengan menggunakan oneway analysis of variance (ANOVA) dan uji lanjut Tukey. Kombinasi ekstrak etanol kunyit dan buah pare menunjukkan efek antidiare paling baik pada dosis 80 mg/kg BB., Turmeric (Curcuma longa Linn.) is a plant which is widely cultivated in Indonesia and commonly used as a food additive or medicine. Turmeric as a medicine has been known for a long time ago and turmeric’s pharmacological effect has been proven in several studies. Bitter melon (Momordica charantia Linn.) commonly used as a food ingredient in several countries in addition to being used for medicinal purposes. Turmeric and bitter melon contain flavonoids, tannins, alkaloids, saponins, dan sterols which are reported to have antidiarrheal activity. This study was conducted to observe and evaluate the antidiarrheal effect of turmeric and bitter melon ethanolic extract combination in mice. Diarrhea protection method using a total of 25 mice divided into 5 groups and given Tween80 1%, Loperamide HCl 0.26 mg/kgBB, ethanolic extract combination 20 mg/kgBB, 40 mg/kgBB, 80 mg/kgBB dosage in each group, and then given 0.5 mL oleum ricini orally. Intestinal transit method using a total of 20 mice divided into 5 groups. This method was done by giving 5 different treatments and then given chinese ink as a marker after 45 minutes orally. The data were analyzed by using one-way analysis of variance (ANOVA) and Tukey’s test. Turmeric and bitter melon ethanolic extract combination has an antidiarrheal effect at a dose of 80 mg/kgBB.
Keyword: antidiarrhea, bitter melon, ethanolic extract, curcuma, mice

Judul: The Effectiveness Extract Combination Skunk Vine (Paederia foetida L.) and Gum Arabic as an Antidiarrheal in Mice (Mus musculus)
Abstrak: Daun sembukan telah lama digunakan oleh masyarakat untuk pengobatan secara tradisional, namun penelitian tentang khasiatnya sebagai antidiare masih sangat sedikit. Tujuan penelitian ini yaitu untuk mengetahui aktivitas antidiare kombinasi ekstrak daun sembukan dan gum arab dengan metode proteksi intestinal dan transit intestinal, serta menentukan takaran dosis yang efektif pada mencit. Penelitian ini menggunakan 30 ekor mencit yang dibagi menjadi enam kelompok. Perlakuan kelompok terbagi menjadi kontrol negatif (1% Tween-80), kontrol positif (Loperamide HCl), dan empat perlakuan kombinasi ekstrak daun sembukan dan gum arab (12,5%, 25%, 50%, dan 100%) yang diberikan secara oral. Parameter yang diamati yaitu frekuensi defekasi, konsistensi feses, dan rasio lintasan marker usus. Disimpulkan bahwa dari kedua metode, potensi antidiare terbaik ditemukan pada konsentrasi 12,5%., Skunk vine have long been used by the community for traditional medicine, but research on its efficacy as an antidiarrheal is still very little. The purpose of this study was to determine the antidiarrheal activity of the combination of skunk vine extract and gum arabic with intestinal protection and intestinal transit methods, and to determine the effective dose in mice. This study used 30 mice which were divided into six groups. The treatment group was divided into negative control (1% Tween-80), positive control (Loperamide HCl), and four combination treatments of skunk vine extract and arabic gum (12.5%, 25%, 50%, and 100%) given orally. The parameters observed were the frequency of defecation, stool consistency, and the ratio of intestinal marker trajectories. It was conclude that of the two methods, the best antidiarrheal potency was found in 12.5% treatment.
Keyword: antidiare, daun sembukan, gum arab, proteksi intestinal, transit intestinal

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