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INDONESIA
Jurnal Ilmiah Informatika Komputer
Published by Universitas Gunadarma
ISSN : 08538638     EISSN : 20898045     DOI : http://dx.doi.org/10.35760/ik
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
This journal is published periodically three times a year, April, August, and December. It publishes a broad range of research articles on Information Technology and Communication, whether in Indonesian Language or English.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
 1 
Search results for , issue "Vol 14, No 2 (2009)" : 7 Documents clear
DEVELOPMENT OF CLUSTER-BASED VR-APPLICATIONS USING OPENSCENEGRAPH Löwen, Johann; Wardijono, Bheta Agus
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

In this paper we will describe about a development the cluster-based VR-Applications using OpenSceneGraph. The OpenSceneGraph does not support cluster, so it is not possible to use the OpenSceneGraph without modifications for development of cluster-based VR-Applications. In this paper we will show how the OpenSceneGraph could be extended to be used for the development of cluster-based VR-ApplicationKeyword(s): OpenSceneGraph, CAVE, Cluster, VR-Applications, computer graphicsSubject description: I.3. Computer Graphic | I.3.7.Three-Dimensional Graphics and Realism | Virtual Reality
ECG (ELECTRO CARDIO GRAPH) SIGNAL COMPRESSION USING NEURAL NETWORK AND HUFFMAN CODING Iskandar, Ridha
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

Medical signals and images need special treatment especially when the data become bigger and bigger. One of the treatment that will be consider in this experiment is about the data compression. ECG (Electro Cardio Graph) signals will create very big data when the signals were collected in a long period of time. Several methods can be used to compress the ECG data.This experiment used neural network to predict the incoming data and huffman coding to minimize the codes. The ECG data was collected from MIT-BIH arrhythmia database. The experiment gave low compression rasio when the predicted data was very close to the incoming data.Keyword(s): compression, ECG, huffman code, neural networkSubject Description: E.4.Coding and Information Theori | Data Compaction and Compression
UTILIZATION TOGAF ADM FOR ENTERPRISE ARCHITECTURE MODEL DESIGN Yunis, Roni; Surendro, Kridanto; S. Panjaitan, Erwin
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

The purpose of enterprise achitecture is to develop harmony between business and information technology fororganization, enterprise architecture implementation can not avoid mehtod of organization planning and howto design the enterprise architecture. Design of enterprise architecture need a methodology, many organizationshave limited understaning of methodology steps for enterprise architecture design. The step in enterprisearchitecture is very important and continue to implementation. The output is to develop an enterprisearchitecture which used by an organization to achieve the strategy target.Keyword(s): business architecture, data architecture, enterprise architecture, technology architecture,implementation architecture, TOGAF ADMSubject Description : K.6.Management of Computing and Information Systems | K.6.1.Project and PeopleManagement | Systems Development
ACCESSING FINGERPRINT SENSOR USING FPGA DEVICES Sudiro, Sunny Arief; Paindavoine, Michel
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

In order to realize fingerprint recognition system in real time environment, we describe in this paper signal controller to read fingerprint sensor generated in FPGA devices. Basically this signal is generated using state machine. The simulation result for behavioral simulation and signal generation read by logic analyzer are presented in this paper. Initialization and reading time for 76800 pixels are 50.99 mS. It is faster than fingerprint sensor using USB connection, which is more than 250 mS.Keywords: cells, fingerprint sensor, FPGA., pixel-elements, state machineSubject Description: C.5.Computer System Implementation| C.5.m.Miscellaneous
FIRE FIGHTING SIMULATION USING GAME MACHINE OPEN SOURCE Wardijono, Bheta Agus
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

This paper explains the development of fire fighting simulation system using open source software. The objective of the development is to help user in the process of fire fighting in case of fire inside the building, by making the best use of computer-based graphic visualization and simulation technologies. Delta3D is a game machine which has been chosen and is required for developing this simulation (game simulation) with the open source as consideration.Keyword(s): Open source, Simulation, Fire Fighting, Game Simulation, Game Machine, Delta3D.Subject Description : I.6.Simulation and Modeling | I.6.8.Types of Simulation | Gaming
AN ALGORITHM INDEX MULTIMEDIA DATA (VIDEO) USING THE MOVEMENT ORIENTED METHOD FOR REAL-TIME ONLINE SERVICES Muslim, Aries; Karyati, Cut Maisyarah
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

Multimedia data is a form of data that can represent all types of data (images, sound and text). The use of multimedia data for the online application requires a more comprehensive database in the use of storage media, Sorting / indexing, search and system / data searching. This is necessary in order to help providers and users to access multimedia data online. Systems that use of the index image as a reference requires storage media so that the rules and require special expertise to obtain the desired file. Changes in multimedia data into a series of stories / storyboard in the form of a text will help reduce the consumption of media storage, system index / sorting and search applications. Oriented Movement is one method that is being developed to change the form of multimedia data into a storyboard.Keyword(s): Algorithm, Index, multimedia data, Movement Oriented.Subject description: H.2.Database Management | H.2.4.Systems \ Multimedia Databases
SIMILARITY MELODY ANALYZING USING THE EARTH MOVER'S DISTANCE Kusuma, Wahyu
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

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Abstract

In music information retrival system, queries are generally in the text form information, such as song title,singer name, song or composer. Beside that queries can also be a music signal or signal vocal (vocal melody)like singing, humming of a part song. This objective of the research is to analyze the vocal melody as similaritiesvocal melody for query data with melody as the target data. Similarities method used is the Earth MovingDistance (EMD). To analyze the similarities accuration, so in this research needs to be done melody processrepresentation through segmentation method with detection onset. Melody representation generated in theformat of onset time, pitch intervals, and time ratio of interval onset. In onset detection, signal goes throughfiltering process, rectification, the formation of the signal contours, gradient detection, and the selection signalabove the threshold value. Onset positions are used for signal segmentation, so that each segment contains onlyone note. Furthermore, each segment goes through the pitch exploration by frequency analysis with Fouriertransformation and pitch estimation with a fundamental frequency distribution approach.Based on results of distance value test used the EMD distance values, can be determined rank value and themean reciprocal rank (MRR). Tests conducted on 30 query data (sing and hum) with 30 data document (piano)so obtained MRR values equal to 0479. In the performance calculation in rank-6 performance on theperformance obtained equal to 93.3%. Test results show the accuracy similarities and retrival systemperformance using EMD was good.Keywords: extraction, representationf melody, similarities, music information retrivalCategories: H.5.Information Interface and Presentation | H.5.5.Sound and Music Computing | Signal Analysis,Synthesis, and Processing

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