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FRONTAL FACIAL SYMMETRY DETECTION USING EIGENVALUE METHOD
R., Dewi Agushinta;
S., Suryadi H.;
A.W., Harya Iswara
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a172
Facial symmetry is correspondence of face components on the both sides of face, left and right of a dividing line or about a center or an axis. Most of the research use face component like eyes, nose and ears component to identify facial symmetry. In this paper we suggest to add mouth as another face component to increase accuracy in facial symmetry detection. The results of facial symmetry detection are used for authentication process, analysis in medical, psychology and anthropology scope. By using MATLAB 7.1 we develop a program that can analyze face,asymmetry or not with utilizing eigenvalue. The contribution of this analysis is to know whether eigenvalue is suitable or not in analyzing facial symmetry. Keywords: Eigenvalue, Face Components, Facial Symmetry
PENCARIAN RUTE TERPENDEK DALAM DUNIA 3 DIMENSI BERDASARKAN ALGORITMA DIJKSTRA
Basori, Ahmad Hoirul;
Tenriawaru, Andi
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a177
Virtual reality is one of the favorite application that very liked by peoples. Vitual reality also used in many games application in order to show the imitation of real world. Recently, virtual reality still imperfect due to shortest path problem. It need more accuration enhancement to get a very good refelection of the real world. This paper intends to discuss how to enhance the accuration of virtual reality shortest path tracking by utilizing Dijkstra algorithm. The built up prototype has three abilities: visualization, simulation fo campus traffic, and exploration of campus world in 3D ways. Keywords: 3D, virtual reality, dijkstra
KLASIFIKASI CITRA DENGAN POHON KEPUTUSAN
Kusrini, Kusrini;
Hartati, Sri;
Wardoyo, Retantyo;
Harjoko, Agus
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a173
Image classification can be done by using attribute of text that come along with the image, such as file name, size, or creator. Image classification also can be done base on visual content of the image. In this research, we implement a image classification model base on image visual content. The image classification is based on decision tree method that adapt C4.5 algorithm. The decision variable used in the decision tree generation process is image visual features, i.e. color moment order-1, color moment order-2, color moment order-3, entropy, energy, contrast, and homogeneity. The result of this research is an application that can classified image base on the knowledge of the previous classification cases. Keywords: image classification, decision tree, C4.5 algorithm
MODEL REPRESENTASI INFORMASI DAN PENGETAHUAN UNTUK PROYEK-PROYEK PERUSAHAAN DENGAN MENGGUNAKAN SEMANTIK ONTOLOGI
Azhari, Azhari;
Subanar, Subanar;
Wardoyo, Retantyo;
Hartati, Sri
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a178
This paper presents the utilization of knowledge management system for information and knowledge model development of enterprise projects. This information and knowledge management model is based on ontology semantic data model. The ontology data model is new technique for representing information and knowledge base on more semantically conception of meanings of objects, their properties, and relations between them that may arise within certain domain knowledge. The concern of the knowledge management model is to ensure that the model allows the process of creation, access, and utilization of data in a semantically manner (for querying process) and information or knowledge of enterprise projects. The experimentation shows that project ontology model has satisfied all consistent, valid, complete, and correct ontology model criteria and can be used for semantic reasoning computation. A prototype of the proposed model can access information and knowledge from the knowledge ontology model. Kata Kunci: knowledge management system, semantic data model, ontology model, semantiq query, enterprise projects
ANALISA KERAPATAN TRABECULAR BONE BERBASIS GRAPH BERBOBOT PADA CITRA PANORAMA GIGI UNTUK IDENTIFIKASI OSTEOPOROSIS
Abidin, Zainal;
Arifin, Agus Zainal
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a174
Osteoporosis is bone disease indocated by low bone mass density and micro architectures disorder which lead to bone fragility or fractures. Graph may be useful to describe density of trabeculae bone due to morphological change on mandibular bone in dental panoramic radiographs. The density of trabecular bone can be discribed by generating graph. Trabecular image firstly was transformed to binary image. A white pixel on the binary image presented as part of trabeculae, which assumed as an isolated node on the graph. Graph generation by Erdos and Royi method was used to build connections between an isolated node and others. This paper introduced the use of weight on each node based on probabilities average of its neigbourhoods. Graph’s properties which used to measure the density were degree and cluster coefficient. Both of properties are used to build feature space. Feature space indicated distribution of node on dense or sparse area. Early indication of osteoporosis could be assumed that ratio of nodes on dense area were greater than that on sparse area. We achieved accuration of 54%, sensitivity of 60%, and spesificity of 49%. Keywords: osteoporosis, trabeculae, random graph, graph berbobot
IT OUTSOURCING SUCCESS FACTORS FOR THE CLIENT ORGANIZATION
Jimmy, Jimmy
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a179
Information and Technology Outsourcing (ITO), as defined by Willcocks et al.[1], is the practice of sourcing all or part of an organization‘s IT and IS functions along with its related services from an outside vendor. Due to the huge sum of money involved on each ITO contract, ITO managers were under pressure to successfully deliver what has been expected from the contract. This paper will focus on synthesizing ITO success factors from the current literatures to suggest a complete list of factors which influence the ITO success for the client organization. Based from the literatures, the following list of factors is proposed as the ITO key success factors: selective outsourcing, client core capabilities, relationship, ITO process, ITO configuration fit, supplier capabilities, ITO contract and stakeholder management. With a clear understanding on both the expectations and the success measurements, an ITO manager could use the proposed key success factors to enhance the success of his/her outsourcing ITO contract. Keywords: Information Technology Outsourcing, Key Success Factor
RAY TRACING RENDER MENGGUNAKAN FRAGMENT ANTI ALIASING
Samopa, Febriliyan;
Mardian, Wawan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a175
Rendering is generating surface and three-dimensional effects on an object displayed on a monitor screen. Ray tracing as a rendering method that traces ray for each image pixel has a drawback, that is, aliasing (jaggies effect). There are some methods for executing anti aliasing. One of those methods is OGSS (Ordered Grid Super Sampling). OGSS is able to perform aliasing well. However, this method requires more computation time since sampling of all pixels in the image will be increased. Fragment Anti Aliasing (FAA) is a new alternative method that can cope with the drawback. FAA will check the image when performing rendering to a scene. Jaggies effect is only happened at curve and gradient object. Therefore, only this part of object that will experience sampling magnification. After this sampling magnification and the pixel values are computed, then downsample is performed to retrieve the original pixel values. Experimental results show that the software can implement ray tracing well in order to form images, and it can implement FAA and OGSS technique to perform anti aliasing. In general, rendering using FAA is faster than using OGSS although there is some situation where the time effectiveness is equal. This is possible since the process of intersection searching on FAA needs additional time. Rendered images using FAA are relatively similar to those using OGSS. Kata Kunci: Ray Tracing, Fragment Anti Aliasing, Ordered Grid Super Sampling, Render, Sampling, Jaggies
PERAMALAN MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE MOVING AVERAGE (VARMA)
Anggraeni, Wiwik;
Dewi, Leivina Kartika
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a180
Forecasting technique is an important component of decision making because it aims to predict values of data in the future. Many existing forecasting methods only predict single variable data and thus do not consider correlation between variable in a dataset. This paper proposes Vector Autoregressive Moving Average (VARMA) as a forecasting method to predict data with more than one variable. This method combines regression concept i.e. autoregressive (VAR) and moving average method (VMA) for multi-variables data. The first step in VARMA method is testing the stationary of the data. Differencing process is conducted in order to change non stationary data to stationary. The next step is to identify the order of the VARMA model of the stationary data. The parameters are then estimated according to the order and co-integration test is conducted on the variables. The model is tested to assess its validity. If the model is valid then forecasting can be done using the model generic formula. The errors of the forecast are calculated to evaluate the performance of the model. Random values are found in the forecast of VARMA method. However, the error remains within a certain interval. The error interval is below 10% so it can be argued that this model is very accurate in predicting the data. Keywords: Forecasting, Multi-Variables, VAR, VMA, VARM, Co-integration Test
APLIKASI TIGA DIMENSI VIRTUAL DENGAN MENGGUNAKAN 5DT DATA GLOVE 5 ULTRA
Yulia, Yulia;
Adipranata, Rudy;
Eddy, Wiradinata
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 7, No 2, Juli 2008
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember
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DOI: 10.12962/j24068535.v7i2.a176
One of active area in information technology research is development of virtual reality (VR). It is a technology which can simulate real world activities in a virtual world. Virtual reality consists of software and hardware which is usually in the form of device that captures human movement. Then VR sends signal of that movement to computer. The signal will be received and processed and shown on the screen, so that the movement can be simulated. In this research, we develop an application that can receive hand movement input with 5DT Data Glove 5 Ultra and create natural and accurate hand movement animation output for hand opening closing and other gestures. Experiments show that there are some gestures though have different physical shapes but are recognized as the same gestures because of sensor limitation in data glove. Keywords: data glove, animation, virtual reality