Judul: Pengembangan Sistem Monitoring Server Studi Kasus Institut Pertanian Bogor
Abstrak: Penelitian ini dilakukan untuk membangun sebuah sistem monitoring server berbasis web. Peran server sangat penting sebagai penyedia layanan data bagi Komputer client. Dalam sebuah jaringan komputer, seorang administrator perlu melakukan monitoring terhadap service-service yang berjalan pada setiap komputer server. Hal ini untuk memastikan setiap server berjalan dengan baik atau sedang mengalami gangguan. Penelitian ini mengambil studi kasus di Institut Pertanian Bogor (IPB). Aspek yang dikaji dalam penelitian ini adalah mempelajari bagaimana struktur jaringan dan alur data pada server IPB, kemudian membangun sistem monitoring server. Melalui sistem ini, dapat dilihat service-service yang berjalan pada setiap komputer server seperti: File Transfer Protocol (FTP), Hyper Text Markup Languange (HTTP), Hyper Text Markup Languange Secure (HTTPS), MYSQL, dan Simple Mail Transfer Protocol (SMTP). Sistem informasi ini dikembangkan dengan pendekatan Prototyping. Sistem monitoring server hanya bekerja seperti alarm yang hanya memberikan peringatan tentang kondisi server sehingga dapat dipersiapkan tindakan-tindakan untuk menjaga kestabilan server.
Keyword: sistem berbasis web, Django, monitoring, server, Prototyping

Judul: Pengembangan Sistem Monitoring Microsoft SQL Server (Studi Kasus: IPB).
Abstrak: Direktorat Integrasi Data dan Sistem Informasi (DIDSI) IPB membutuhkan sebuah aplikasi yang dapat melakukan monitoring server dan server basis data. Walaupun fitur monitoring basis data telah ada pada Microsoft SQL Server (MSSQL), namun hal tersebut tidak bisa diimplementasikan karena pengaksesan terhadap Database Management System (DBMS) melanggar aturan yang ada dan dapat mengancam keamanan sistem. Penelitian ini bertujuan untuk mengembangkan sistem monitoring MSSQL berbasis Android yang dapat melakukan monitoring job dan resource usage. Pengembangan sistem menggunakan metode Prototyping, bahasa pemrograman Java, dan Android SDK. Tahapan yang dilakukan dalam metode Prototyping adalah komunikasi, perencanaan cepat, perancangan cepat, pembuatan prototipe, dan evaluasi prototipe. Penelitian dilakukan sebanyak 2 iterasi dan pengujian kelayakan sistem menggunakan metode Black Box. Pengembangan sistem monitoring MSSQL berbasis Android dikatakan berhasil karena fungsi yang diinginkan stakeholder dapat terpenuhi.
Keyword: DBMS, metode Prototyping, sistem monitoring

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