Judul: Mechanism of virulence inhibition of enterophatogenic bacteria by ginger (Zingiber officinale Roscoe) rhizome extract
Abstrak: Jahe segar merupakan bahan pemberi citarasa, yang biasanya ditambahkan dalam bahan pangan. Jahe berhngsi sebagai pengawet yang tidak toksik, dapat menstimulir, menghambat atau membunuh mikroba tergantung pada dosis yang digunakan. Senyawa utama pada jahe adalah senyawa minyak atsiri dan non volatil, yang mempunyai aktivitas antimikroba dan digunakan sebagai obat tradisional
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Judul: Review: The Potential of Ginger (Zingiber officinale) against  Disease-causing Microorganisms in Animal
Abstrak: Jahe (Zingiber officinale) merupakan salah satu jenis tanaman yang secara turun-temurun digunakan untuk mengobati berbagai penyakit misalnya, nyeri tenggorokan, batuk kering, masuk angin, gatal-gatal, muntah, dan diare. Jahe juga memiliki manfaat untuk mengobati penyakit yang diakibatkan oleh mikroorgaisme patogen penyebab timbulnya kerugian dalam kehidupan manusia. Secara ilmiah, pengujian khasiat jahe terhadap mikroorganisme patogen pada manusia khususnya secara in vitro dan in vivo telah banyak dilakukan. Beberapa mikroorganisme patogen pada manusia juga dapat menginfeksi hewan sehingga jahe memiliki potensi untuk mengobati penyakit infeksi pada hewan. Namun, sejauh ini belum dikompilasi jenis-jenis mikroorganisme patogen pada hewan yang dapat dihambat pertumbuhannya menggunakan jahe. Oleh karena itu penelitian ini bertujuan memperoleh informasi mengenai jenis-jenis mikroorganisme pada hewan yang dapat dihambat pertumbuhannya menggunakan jahe melalui studi pustaka jurnal ilmiah. Metode dimulai dengan mengumpulkan data dari jurnal ilmiah yang diperoleh melalui Pubmed, ScienceDirect, dan Google Scholar yang berkisar dari tahun 2010 hingga tahun 2020 yang memuat informasi ilmiah mengenai potensi jahe sebagai antibakteri, antiparasit, antijamur, dan antivirus. Hasil penelusuran menunjukkan bahwa kandungan senyawa fenol pada rimpang jahe dapat menyebabkan kematian pada bakteri dan melisiskan dinding sel jamur. Jahe dapat mengurangi parasitemia dan menghambat replikasi virus. Mikroorganisme yang dapat dihambat pertumbuhannya adalah Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus pyogenes, Bacillus cereus, Escherichia coli, Salmonella typhimurium, Pseudomonas aeruginosa, Mycoplasma gallisepticum, Edwardsiella tarda, Aeromonas hydrophila, Aspergillus fumigatus, Aspergillus niger, Aspergillus flavus, Candida albicans, Microsporum gypseum, Toxoplasma gondii, dan Trypanosoma brucei brucei. Jahe juga dapat menghambat replikasi virus Avian Influenza dan Feline Calici Virus (FCV)., Ginger (Zingiber officinale) is a type of plant that has been used for generations to treat various diseases, for example, sore throat, dry cough, colds, itching, vomiting, and diarrhea. Ginger also has benefits for treating diseases caused by pathogenic that cause losses in human life. Scientifically, testing the efficacy of ginger against pathogenic microorganisms in humans, especially in vitro and in vivo, has been widely carried out. Several pathogenic microorganisms in humans can also infect animals so that ginger has the potential to treat infectious diseases in animals. But so far, the types of pathogenic microorganisms in animals that can be inhibited by ginger have not been compiled through literature studies in scientific journals. Therefore, this study aims to obtain information about the types of microorganisms in animals that can be inhibited using ginger through a literature study of scientific journals. This study method begins by collecting data from scientific journals obtained through Pubmed, ScienceDirect, and Google Scholar, from 2010 to 2020 which contain scientific information about the potential of ginger as an antibacterial, antifungal, antiparasitic, and antiviral. The result showed that the content of phenolic compounds in ginger rhizome is bactericidal and can lyse fungal cell walls. Ginger can reduce parasitemia and inhibit viral replication. The microorganisms that can be inhibited with ginger are Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus pyogenes, Bacillus cereus, Escherichia coli, Salmonella typhimurium, Pseudomonas aeruginosa, Mycoplasma gallisepticum, Edwardsiella tarda, Aeromonas hydrophila, Aspergillus fumigatus, Aspergillus niger, Aspergillus flavus, Candida albicans, Microsporum gypseum, Toxoplasma gondii, and Trypanosoma brucei brucei. Ginger can also inhibit replication of the Avian Influenza Virus and Feline Calici Virus (FCV).
Keyword: review, ginger, Zingiber officinale, anti-microbial, animal disease

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