Judul: Combination of Turmeric Extract (Curcuma domestica val) and Noni (Morinda citrifolia) as Antidiarrhea
Abstrak: Kunyit dan mengkudu sudah digunakan sebagai pengobatan tradisional penyakit. Tanaman ini secara empiris digunakan untuk pengobatan diare. Akan tetapi, sejauh ini belum ada studi farmakologi aktivitas antidiare kombinasi ekstrak kunyit dan mengkudu. Tujuan penelitian ini adalah mengevaluasi secara ilmiah pengaruh kombinasi ekstrak kunyit dan mengkudu terhadap diare yang diinduksi minyak jarak pada mencit. Penelitian ini menggunakan 25 ekor mencit yang dibagi menjadi 5 kelompok. Kelompok dibagi menjadi kelompok kontrol negatif (Tween 80 1%), kelompok kontrol positif (Loperamid HCl) dan kelompok perlakuan kombinasi ekstrak kunyit dan mengkudu dosis 20 mg/kg BB, 40 mg/kg BB dan 80 mg/kg BB. Perlakuan dilakukan secara peroral. Parameter yang digunakan adalah proteksi intestinal (frekuensi defekasi mencit setiap 30 menit selama empat jam) dan transit intestinal (persentase lintasan penanda usus mencit). Hasil penelitian menunjukkan kombinasi ekstrak kunyit dan mengkudu dosis 20 mg/kg BB, 40 mg/kg BB dan 80 mg/kg BB memiliki efek antidiare dalam menurunkan frekuensi defekasi mencit dan menurunkan persentase lintasan penanda usus mencit. Dosis terbaik adalah 80 mg/kg BB. Hasil penelitian ini memberikan informasi ilmiah terhadap penggunaan kombinasi ekstrak kunyit dan mengkudu untuk pengobatan diare., Turmeric and noni have been recommended for several disease in folk medicine. They are empirically used for curing diarrhea. Nevertheless, no pharmacological studies of combination of turmeric and noni extracts have thus far evaluated for antidiarrheal activity. Our study aim was to evaluate scientifically the effect of combination of turmeric and noni extract against castor oil induced diarrhea models in mice. This study used 25 mice, they were divided into 5 groups. The groups are the negative control group (1% tween 80), the positive control group (loperamid HCl 0,26 mg/kg BW), and the treatment group combination of turmeric and noni extracts at dose of 20 mg/kg BW, 40 mg/kg BW, and 80 mg/kg BW respectively. The treatment was given orally. The parameters used for the evaluations are intestinal protection (frequency of defecation of mice every 30 minutes for four hours) and intestinal transit (percentage of mice intestinal marker trajectory). The results showed the combination of turmeric and noni extracts at a dose of 20 mg/kg BW, 40 mg/kg BW, and 80 mg/kg BW has an antidiarrheal effect in reduced the frequency of defecation of mice and decreasing the percentage of mice intestinal marker trajectories. The best dose is 80 mg/kg BW. The results obtained in this study give some scientific support to the use of a combination of turmeric and noni extract for the treatment of diarrhea.
Keyword: antidiarrhea, mice, noni extract, turmeric extract

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 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