Tarumanagara University is a university in Jakarta, Indonesia and one of the oldest private universities in Indonesia. The university has 4 campuses in Jakarta. Campus I and campus II is located in the metropolitan area of West-Jakarta, the campus III is in South-Jakarta. The future campus IV site is in Karawaci . Wikipedia.
Wijaya H.,Tarumanagara University |
Suryoatmono B.,Parahyangan Catholic University
Procedia Engineering | Year: 2017
Block shear is a limit state that should be accounted for during the design of steel tension members. Experimental test results for structural tees in tension, bolted to connections only through the flanges showed a block shear failure path termed as alternate path block shear failure (ABS). This study reports numerical study using finite element method in predicting the strength of structural tee in tension, which is connected through its flange and investigates that ABS might be indicated. Non-linear time history analyses were used in this study. The strengths resulted from the finite element analyses (FEA) were compared with experimental results, AISC predictions, and analytical predictions based on modified block shear equations for ABS mode. The strengths predicted by the finite element analyses were in good accuracy with experimental test results. Stress distribution paths resulting from finite element analyses depicted the indication of the occurrence of ABS. © 2017 The Authors.
Gunawan D.,Tarumanagara University |
Suryoatmono B.,Parahyangan Catholic University
Procedia Engineering | Year: 2017
A honeycomb beam is a non-prismatic wide flange beam with constant spaced hexagonal holes throughout its length. Most design codes, including Specification for Structural Steel Buildings (ANSI/AISC 360-10) do not provide provisions for lateral-torsional buckling of non-prismatic beam. In this paper, lateral-torsional buckling of honeycomb beam is studied numerically using finite element analysis (FEA). Nonlinear time history analysis is performed to simulate the behavior of the beam loaded perpendicular to its major axis gradually from zero until lateral-torsional buckling occurs. Two loading conditions are considered, namely concentrated and uniformly distributed loads. Nonlinear behavior of steel material and the presence of residual stress in the beam are considered in the analysis. The beam is assumed to be simply supported and laterally supported at both ends so that the unbraced length of the beam is the same as the beam length. Honeycomb beams with various dimensions and various unbraced length are analyzed. The lateral-torsional buckling moments obtained from finite element analyses are compared with those computed using equations in ANSI/AISC 360-10 assuming the beams were prismatic without any holes. Based on this comparison, simplified equations to predict lateral-torsional buckling moments or LTB strength of honeycomb beams under major axis bending are proposed in this paper. © 2017 The Authors.
Handhayani T.,Tarumanagara University
Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy | Year: 2016
Batik Lasem has the unique pattern and it consists of the main pattern and the additional ornaments. Voting Feature Intervals 5 algorithm together with statistical features selection method based on features variance are proposed to classify Batik Lasem motifs. The experiment result shows that classification without feature selection method is producing the maximum accuracy 62%. Features selection method is applied to select a subset of features which have high variance across the samples. After applying feature selection method, the maximum accuracy is reaching 99.96%. © 2016 IEEE.
Haris D.A.,Tarumanagara University
Proceedings - ICACSIS 2014: 2014 International Conference on Advanced Computer Science and Information Systems | Year: 2014
Attacking is one of the popular tactics usually chosen by a soccer coach. With attacking effectively, chances to score goals can be enhanced as many as possible. Better attack needs good ball passing, and that is the purpose and focus of this research. Previous robotic soccer simulations employed simple weighting method with simple criteria and does not produce optimal ball passing. To overcome this problem this research proposes a set of criteria representing a more realistic situation. This set of criteria is formulated in and appropriate objective function which is optimized using pareto frontier and Normalized Normal Constraint. From the result of this experiment, it can be seen that this proposed method has a realibility of 20% higher that that of the previous method. And it has a better passing success rate with a 75% ball possession. Rather than that of the previous method with a 25% ball possession. © 2014 IEEE.
Handhayani T.,Tarumanagara University |
Hiryanto L.,Tarumanagara University
Procedia Computer Science | Year: 2015
Intelligent Kernel K-Means is a fully unsupervised clustering algorithm based on kernel. It is able to cluster kernel matrix without any information regarding to the number of required clusters. Our experiment using gene expression of human colorectal carcinoma had shown that the genes were grouped into three clusters. Global silhouette value and davies-bouldin index of the resulted clusters indicated that they are trustworthy and compact. To analyze the relationship between the clustered genes and phenotypes of clinical data, we performed correlation (CR) between each of three phenotypes (distant metastasis, cancer and normal tissues, and lymph node) with genes in each cluster of original dataset and permuted dataset. The result of the correlation had shown that Cluster 1 and Cluster 2 of original dataset had significantly higher CR than that of the permuted dataset. Among the three clusters, Cluster 3 contained smallest number of genes, but 16 out of 21 genes in that cluster were genes listed in Tumor Classifier List (TCL). © 2015 The Authors. Published by Elsevier B.V.
Jap T.,Tarumanagara University |
Tiatri S.,Tarumanagara University |
Jaya E.S.,Tarumanagara University |
Suteja M.S.,Tarumanagara University
PLoS ONE | Year: 2013
Online game is an increasingly popular source of entertainment for all ages, with relatively prevalent negative consequences. Addiction is a problem that has received much attention. This research aims to develop a measure of online game addiction for Indonesian children and adolescents. The Indonesian Online Game Addiction Questionnaire draws from earlier theories and research on the internet and game addiction. Its construction is further enriched by including findings from qualitative interviews and field observation to ensure appropriate expression of the items. The measure consists of 7 items with a 5-point Likert Scale. It is validated by testing 1,477 Indonesian junior and senior high school students from several schools in Manado, Medan, Pontianak, and Yogyakarta. The validation evidence is shown by item-total correlation and criterion validity. The Indonesian Online Game Addiction Questionnaire has good item-total correlation (ranging from 0.29 to 0.55) and acceptable reliability (α = 0.73). It is also moderately correlated with the participant's longest time record to play online games (r = 0.39; p<0.01), average days per week in playing online games (ρ = 0.43; p<0.01), average hours per days in playing online games (ρ = 0.41; p<0.01), and monthly expenditure for online games (ρ = 0.30; p<0.01). Furthermore, we created a clinical cut-off estimate by combining criteria and population norm. The clinical cut-off estimate showed that the score of 14 to 21 may indicate mild online game addiction, and the score of 22 and above may indicate online game addiction. Overall, the result shows that Indonesian Online Game Addiction Questionnaire has sufficient psychometric property for research use, as well as limited clinical application. © 2013 Jap et al.
Hiryanto L.,Tarumanagara University
2013 International Conference on Quality in Research, QiR 2013 - In Conjunction with ICCS 2013: The 2nd International Conference on Civic Space | Year: 2013
University Course Timetabling Problem (UCTP) belongs to Constraint Satisfaction Problems (CSPs), which are the set of objects whose state must satisfy a number of constraints. The constraints, in this case, are related to characteristics and regulations of a particular university. Certainly, these will vary from one university to the other. A number of approaches have provided feasible and optimal solutions for UCTP. However, their solutions are still based certain university's constraints. Our approach has given another way to occupy various constraints for various universities. Dynamic Constraint Matching (DCM) consists of constraints logical formulation, collision matrix generation, and validation using the collision matrix. Our experiment, using 93 subjects offered in Faculty of Information Technology Tarumanagara University, has shown that all constraints, taken from the characteristics and regulations of the Faculty, can be formulated successfully. When DCM were integrated with Vertex Graph Coloring (VGC) as one of the guaranteed optimal solutions for UCTP, the approach results a course schedule that does not contain any hard or soft constraints violations. The processing time can be said fast, which is less than 1 minutes. © 2013 IEEE.
Kosasih W.,Tarumanagara University
ARPN Journal of Engineering and Applied Sciences | Year: 2016
This paper describes how to develop a decision support system for classifying production equipment by considering a Multi Criteria Decision Making (MCDM) Method for Productivity, Quality, Cost, Delivery, Safety (PQCDS) indicators based on its condition. The study was conducted by using fuzzy assessment approach. The purposes of this study are: to define each criterion of each indicator; to determine fuzzification of value of each criterion; to design appropriate fuzzy rule base; and to develop a decision support system. The Categories of equipment were divided into 3 classes, such as: critical, mayor, minor. In this study, fuzzy rules were designed based on expert's knowledge and experiences. Finally, the results were simulated and compared with conventional method. © 2006-2016 Asian Research Publishing Network (ARPN).
2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010 | Year: 2010
In this paper, we propose novel techniques of constructing appearance manifolds in eigen-space for robust recognition of 3D objects. Four models are presented in this paper: Constant Covariance method, Point Interpolation method, Covariance Interpolation method, and comparison with the well known Parametric Eigenspace method. The developed application is used to recognize 3D objects from images with various capturing conditions. Experimental results show that the proposed methods could accurately recognize 3D objects even from images which are influenced by geometric distortions and quality degradation effects. ©2010 IEEE.
Supartono F.X.,Tarumanagara University
IABSE Conference, Guangzhou 2016: Bridges and Structures Sustainability - Seeking Intelligent Solutions - Report | Year: 2016
This paper presents various aspects of the sustainable infrastructure development that is mandatory for civil engineers to promote or even be a leader in pioneering its implementation, particularly in concrete production and construction that is the topic of this paper. It can be a wide range of application from design, materials, construction method, cost effectiveness and durability, for which the engineers should be able to use their knowledge and abilities to manage their activity in harmony with the environment, as well as to inspire the optimism to create a sustainable infrastructure world. At the end of this paper, engineers are encouraged to learn from the past and think to the future, as well as to always update and improve the voluntary action plans on sustainable development, which will lead humanity and environment to coexist harmoniously.