Articles
<![CDATA[Hâ Control of Polynomial Fuzzy Systems: A Sum of Squares Approach ]]>
<![CDATA[Bomo S. Wibowo]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[Arief Syaichu-Rohman]]>
<![CDATA[ Journal of Engineering and Technological Sciences Vol. 46 No. 2 (2014) ]]>
Publisher : <![CDATA[Institute for Research and Community Services, Institut Teknologi Bandung ]]>
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DOI: 10.5614/j.eng.technol.sci.2014.46.2.3
<![CDATA[This paper proposes the control design ofa nonlinear polynomial fuzzy system with Hâ performance objective using a sum of squares (SOS) approach. Fuzzy model and controller are represented by a polynomial fuzzy model and controller. The design condition is obtained by using polynomial Lyapunov functions that not only guarantee stability but also satisfy the Hâ performance objective. The design condition is represented in terms of an SOS that can be numerically solved via the SOSTOOLS. A simulation study is presented to show the effectiveness of the SOS-based Hâ control designfor nonlinear polynomial fuzzy systems.]]>
<![CDATA[TRANSFORMING RHETORICAL DOCUMENT PROFILE INTO TAILORED SUMMARY OF SCIENTIFIC PAPER ]]>
<![CDATA[Masayu Leylia Khodra]]>;
<![CDATA[Mohammad Dimas]]>;
<![CDATA[Dwi Hendratmo Widyantoro]]>;
<![CDATA[E. Aminudin Aziz]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>
<![CDATA[ Jurnal Ilmiah Kursor Vol 6 No 3 (2012) ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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<![CDATA[Since abstract of scientific paper is author biased, readers’ required information may not be included in the abstract. Tailored summary may help them to get a summary based on their information needs. This research is the first one that implements tailored summary system for scientific paper. Tailored summary applies information extraction that transforms a scientific paper into Rhetorical Document Profile, a structured representation of paper content based on rhetorical scheme of fifteen slots. This research adapted building plan that used rhetorical scheme of seven slots. We also implement tailored summary system. After generating initial summary, surface repair is conducted to improve summary readability. Each sentence in initial summary is combined with template phrase based on syntax-tree combination method. There are five groups of template phrases provided in surface repair. We construct evaluation standards by asking five human raters. The best method for sentence selection subsystem that uses Maximal Marginal Importance-Multi Sentence is employing TF.IDF weighting system with precision/recall of 0.61. The surface repair subsystem has acceptance of 0.91.]]>
<![CDATA[ANT-WUM: ALGORITMA BERBASIS ANT COLONY OPTIMIZATION UNTUK WEB USAGE MINING ]]>
<![CDATA[Abdurrahman -]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[Rila Mandala]]>;
<![CDATA[Rajesri Govindaraju]]>
<![CDATA[ JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009 ]]>
Publisher : <![CDATA[Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta ]]>
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DOI: 10.34151/technoscientia.v2i1.67
<![CDATA[This paper is continuity research from our previous work in Ant-Miner implementation for web user classification. In our previous work, we implemented Ant-Miner algorithm for web user classification same with Ant-Miner for classification task in data mining domain. In this paper, we propose modification of heuristic function of Ant-Miner based on web usage mining (WUM) problem, that we name Ant-WUM. The heuristic function ACO is based on local problem domain. Information theory is common heuristic function used in classification task, such as implemented in C4.5 algorithm and ant-miner algorithm. Ant-WUM uses heuristic function based on closeness principle that implemented in clustering problem in WUM. We propose to use data from web access log, profile user, and transaction data to provide some attributes as term candidate of classification rule by Ant-WUM algorithm. We compared Ant-WUM algorithm with Ant-Miner algorithm. The result indicates that Ant-WUM has competitive result in term of accuracy rate, amount of rules, and computation time.]]>
<![CDATA[Optimization of Salient Object Segmentation by using the influence of color in Digital Image ]]>
<![CDATA[Edvin Ramadhan]]>;
<![CDATA[Iping Supriana Suwardi]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>
<![CDATA[ Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015 ]]>
Publisher : <![CDATA[IAES Indonesia Section ]]>
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DOI: 10.11591/eecsi.v2.775
<![CDATA[Human attention is more likely to be interested indifferent objects or striking in image processing called salientobject. Existing approaches worked well in finding the salientobject in this image, but they have not been able to accuratelydetect where objects should stand out due to the influence of lightintensity, there are various object results of salient object detectionin which area is still cut off or do not appear because they do notinclude salient area. We offer solutions to fix these problems byoptimizing salient object detection prioritizing object area aftersalient area, through checking comparison of the color regionlocated around the area of the salient. This Optimization of theapplication is able to improve to 83% from 100 salient object whichhas this problem, and able to produce more natural Saliency Cut.]]>
<![CDATA[Robust Automatic Speech Recognition Features using Complex Wavelet Packet Transform Coefficients ]]>
<![CDATA[Tjong Wan Sen]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[Arry Akhmad Arman]]>;
<![CDATA[Rila Mandala]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 3 No. 2 (2009) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.2009.3.2.4
<![CDATA[To improve the performance of phoneme based Automatic Speech Recognition (ASR) in noisy environment; we developed a new technique that could add robustness to clean phonemes features. These robust features are obtained from Complex Wavelet Packet Transform (CWPT) coefficients. Since the CWPT coefficients represent all different frequency bands of the input signal, decomposing the input signal into complete CWPT tree would also cover all frequencies involved in recognition process. For time overlapping signals with different frequency contents, e. g. phoneme signal with noises, its CWPT coefficients are the combination of CWPT coefficients of phoneme signal and CWPT coefficients of noises. The CWPT coefficients of phonemes signal would be changed according to frequency components contained in noises. Since the numbers of phonemes in every language are relatively small (limited) and already well known, one could easily derive principal component vectors from clean training dataset using Principal Component Analysis (PCA). These principal component vectors could be used then to add robustness and minimize noises effects in testing phase. Simulation results, using Alpha Numeric 4 (AN4) from Carnegie Mellon University and NOISEX-92 examples from Rice University, showed that this new technique could be used as features extractor that improves the robustness of phoneme based ASR systems in various adverse noisy conditions and still preserves the performance in clean environments.]]>
<![CDATA[Automatic Tailored Multi-Paper Summarization based on Rhetorical Document Profile and Summary Specification ]]>
<![CDATA[Masayu Leylia Khodra]]>;
<![CDATA[Dwi Hendratmo Widyantoro]]>;
<![CDATA[E. Aminudin Aziz]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 6 No. 3 (2012) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.2012.6.3.4
<![CDATA[In order to assist researchers in addressing time constraint and low relevance in using scientific articles, an automatic tailored multi-paper summarization (TMPS) is proposed. In this paper, we extend Teufel's tailored summary to deal with multi-papers and more flexible representation of user information needs. Our TMPS extracts Rhetorical Document Profile (RDP) from each paper and presents a summary based on user information needs. Building Plan Language (BPLAN) is introduced as a formalization of Teufel's building plan and used to represent summary specification, which is more flexible representation user information needs. Surface repair is embedded within the BPLAN for improving the readability of extractive summary. Our experiment shows that the average performance of RDP extraction module is 94.46%, which promises high quality of extracts for summary composition. Generality evaluation shows that our BPLAN is flexible enough in composing various forms of summary. Subjective evaluation provides evidence that surface repair operators can improve the resulting summary readability.]]>
<![CDATA[A Multiclass-based Classification Strategy for Rethorical Sentence Categorization from Scientific Papers ]]>
<![CDATA[Dwi H. Widyantoro]]>;
<![CDATA[Masayu L. Khodra]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[E. Aminudin Aziz]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 7 No. 3 (2013) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.res.appl.2013.7.3.5
<![CDATA[Rapid identification of content structures in a scientific paper is of great importance particularly for those who actively engage in frontier research. This paper presents a multi-classifier approach to identify such structures in terms of classification of rhetorical sentences in scientific papers. The idea behind this approach is based on an observation that no single classifier is the best performer for classifying all rhetorical categories of sentences. Therefore, our approach learns which classifiers are good at what categories, assign the classifiers for those categories and apply only the right classifier for classifying a given category. This paper employsk-fold cross validation over training data to obtain the category-classifier mapping and then re-learn the classification model of the corresponding classifier using full training data on that particular category. This approach has been evaluated for identifying sixteen different rhetorical categories on sentences collected from ACL-ARC paper collection. The experimental results show that the multi-classifier approach can significantly improve the classification performance over multi-label classifiers.]]>
<![CDATA[DIDS Using Cooperative Agents Based on Ant Colony Clustering ]]>
<![CDATA[Muhammad Nur Kholish Abdurrazaq]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[Budi Rahardjo]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 8 No. 3 (2015) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.res.appl.2015.8.3.3
<![CDATA[Intrusion detection systems (IDS) play an important role in information security. Two major problems in the development of IDSs are the computational aspect and the architectural aspect. The computational or algorithmic problems include lacking ability of novel-attack detection and computation overload caused by large data traffic. The architectural problems are related to the communication between components of detection, including difficulties to overcome distributed and coordinated attacks because of the need of large amounts of distributed information and synchronization between detection components. This paper proposes a multi-agent architecture for a distributed intrusion detection system (DIDS) based on ant-colony clustering (ACC), for recognizing new and coordinated attacks, handling large data traffic, synchronization, co-operation between components without the presence of centralized computation, and good detection performance in real-time with immediate alarm notification. Feature selection based on principal component analysis (PCA) is used for dimensional reduction of NSL-KDD. Initial features are transformed to new features in smaller dimensions, where probing attacks (Ra-Probe) have a characteristic sign in their average value that is different from that of normal activity. Selection is based on the characteristics of these factors, resulting in a two-dimensional subset of the 75% data reduction.]]>
<![CDATA[Tweet-based Target Market Classification Using Ensemble Method ]]>
<![CDATA[Muhammad Adi Khairul Anshary]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 10 No. 2 (2016) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.res.appl.2016.10.2.3
<![CDATA[Target market classification is aimed at focusing marketing activities on the right targets. Classification of target markets can be done through data mining and by utilizing data from social media, e.g. Twitter. The end result of data mining are learning models that can classify new data. Ensemble methods can improve the accuracy of the models and therefore provide better results. In this study, classification of target markets was conducted on a dataset of 3000 tweets in order to extract features. Classification models were constructed to manipulate the training data using two ensemble methods (bagging and boosting). To investigate the effectiveness of the ensemble methods, this study used the CART (classification and regression tree) algorithm for comparison. Three categories of consumer goods (computers, mobile phones and cameras) and three categories of sentiments (positive, negative and neutral) were classified towards three target-market categories. Machine learning was performed using Weka 3.6.9. The results of the test data showed that the bagging method improved the accuracy of CART with 1.9% (to 85.20%). On the other hand, for sentiment classification, the ensemble methods were not successful in increasing the accuracy of CART. The results of this study may be taken into consideration by companies who approach their customers through social media, especially Twitter.]]>
<![CDATA[Design and Implementation of Moving Object Visual Tracking System using μ-Synthesis Controller ]]>
<![CDATA[Saripudin Saripudin]]>;
<![CDATA[Modestus Oliver Asali]]>;
<![CDATA[Bambang Riyanto Trilaksono]]>;
<![CDATA[Toto Indriyanto]]>
<![CDATA[ Journal of ICT Research and Applications Vol. 13 No. 3 (2019) ]]>
Publisher : <![CDATA[LPPM ITB ]]>
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DOI: 10.5614/itbj.ict.res.appl.2019.13.3.1
<![CDATA[Considering the increasing use of security and surveillance systems, moving object tracking systems are an interesting research topic in the field of computer vision. In general, a moving object tracking system consists of two integrated parts, namely the video tracking part that predicts the position of the target in the image plane, and the visual servo part that controls the movement of the camera following the movement of objects in the image plane. For tracking purposes, the camera is used as a visual sensor and applied to a 2-DOF (yaw-pitch) manipulator platform with an eye-in-hand camera configuration. Although its operation is relatively simple, the yaw-pitch camera platform still needs a good control method to improve its performance. In this study, we propose a moving object tracking system on a prototype yaw-pitch platform. A m-synthesis controller was used to control the movement of the visual servo part and keep the target in the center of the image plane. The experimental results showed relatively good results from the proposed system to work in real-time conditions with high tracking accuracy in both indoor and outdoor environments.]]>
