Judul: Sistem Peringkasan Dokumen Berita Bahasa Indonesia Menggunakan MetodeRegresi Logistik Biner
Abstrak: This thesis aims to perform text feature weighting for summarization of document bahasa Indonesia using binary logistic regression. There are ten text features, i.e., sentence position (f1), positive keywords in sentence (f2), negative keywords in sentence (f3), sentence centrality (f4), sentence resemblance to the title (f5), sentence inclusion of name entity (f6), sentence inclusion of numerical data (f7), sentence relative length (f8), bushy path of the node (f9), and summation of similarities for each node (f10). Ten of these features will be used as an independent variable in the calculation of the binary logistic regression. To denote that the sentence is not included in the summary we use an output value of 0, an output value of 1, otherwise. To evaluate the text summarization, we use N-Gram with compressin rate 30%. Research results show that the accuracy of this method is 42.84%.
Keyword: 

Judul: Peringkasan Dokumen Bahasa Indonesia Menggunakan Logika Fuzzy
Abstrak: Text summarization is required to help interpreting the large volumes of information in documents. Automatic text summarization is a process of creating a shorter version of document from the source document by using a machine. The goal is to present the most important information and help the user to understand the large volumes of information from the document. This research proposes an automatic text summarization using Fuzzy Inference System (FIS), because the level of importance of sentences in a document is uncertain (fuzzy). The advantage of fuzzy logic is its ability of linguistic reasoning, so that it does not require any mathematical equations. Simulation is conducted on 50 data testing. It is shown that the best average accuracy in this research is 50.58% and the best accuracy for single document summarization is 100%.
Keyword: text features, fuzzy, Fuzzy Inference System, text summarization.

Judul: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
Keyword: