Judul: Peran Komunikasi Antarpribadi dalam Memotivasi Kesembuhan Pasien : Kasus Penderita Kanker
Abstrak: Tujuan penelitian ini adalah untuk mengetahui bagaimana upaya komunikasi antarpribadi yang dilakukan staf medis dan keluarga pasien terhadap pasien penderita kanker.
Keyword: 

Judul: Peran Komunikasi Antar Karyawan Terhadap Motivasi Karyawan Di Perusahaan Menengah (Studi Kasus CV.ABC Cabang Bogor)
Abstrak: Kemampuan berkompetisi merupakan isu utama pada perusahaan karena dari kemampuan berkompetisi inilah perusahaan mendapatkan keunggulan bersaing yang selanjutnya menjaga keberlanjutan suatu organisasi. Untuk menjadi perusahaan yang kuat, sumber daya manusia harus memiliki kompetensi serta kinerja yang baik. Kompetensi dan kinerja sumber daya manusia harus dijaga karena dua hal inilah yang akan membentuk keberlanjutan suatu organisasi. Semua kegiatan organisasi dalam mencapai misi dan tujuannya adalah sangat tergantung kepada manusia yang mengelola organisasi itu. Tujuan penelitian ini adalah (1) untuk mengidentifikasi komunikasi antar karyawan yang dilaksanakan di CV ABC cabang Bogor, (2) menganalisa peran faktorfaktor komunikasi antar karyawan terhadap Motivasi Karyawan CV ABC cabang Bogor. Dari lima variabel yang termasuk ke dalam komunikasi antar karyawan, ternyata hanya empat yang berpengaruh yaitu: empati, sikap mendukung, sikap positif dan kesetaraan, sedangkan faktor keterbukaan tidak berkorelasi secara nyata. Komunikasi antar karyawan berguna bagi perusahaan maupun bagi karyawan yang dinilai. Dengan adanya komunikasi antar karyawan, karyawan dapat mengetahui tingkat kemampuannya sehingga mereka dapat meningkatkan potensinya. Bagi perusahaan dapat mengambil keputusan yang berkaitan dengan karyawan.
Keyword: 

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