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Mesran
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Bulletin of Computer Science Research
ISSN : -     EISSN : 27743659     DOI : -
Core Subject : Science,
Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, Fault analysis, and Diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data • Cryptography • Model and Simulation • Image Processing
Articles 3 Documents
Search results for , issue "Vol. 1 No. 1 (2020): Desember 2020" : 3 Documents clear
Studi dan Implementasi Pengenalan Wajah dengan Menggunakan Pencocokan String Boyer Moore Suharto Siregar
Bulletin of Computer Science Research Vol. 1 No. 1 (2020): Desember 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Image processing is a system where the process is carried out with the input in the form of an image and the result is also an image. Initially, image processing was carried out to improve image quality, but with the development of the world of technology, which was marked by the increasing capacity and speed of computer processing, as well as the emergence of computational science that allowed humans to retrieve information from an image, image processing could not be separated from it. In this research, image processing is applied to face recognition using moore boyer string matching. Boyer Moore is a technique in image processing that functions to match strings. The problem of facial recognition is how to search for strings on faces based on Boyer Moore's strings by matching the strings. Therefore, it is very important research that aims so that computers can have the function of detecting faces. If computers can be designed to have intelligence closer to that of humans, of course this can facilitate human work.
Pengolahan Citra dengan Metode Ekstraks Deteksi Mata Manusia Berbasis I Fitur Setiawan Syah Zebua
Bulletin of Computer Science Research Vol. 1 No. 1 (2020): Desember 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The eye functions to see and interpret the shapes, colors, and dimensions of objects in the world by processing the light reflected by objects that give off light. Visual disturbances or eye diseases often occur in people so that they interfere with their daily activities. Moving or staying still can provide information about the human condition. From the information obtained from eye detection, it can be concluded that an eye movement. Measuring eye movement is psychophysical work and to obtain information about a person's level of unconscious behavior, strategies to process eye movement information require fixation and knowledge of the direction of the gaze. Feature extraction is a feature / feature retrieval from a form where the value obtained will be analyzed for further processing. Feature extraction is done by counting the number of dots or pixels found in each check. The features obtained from an image are the distinguishing characteristics of other images.
Implementasi Algoritma Turbo Boyer Moore Pada Aplikasi Tarian Tradisional Berbasis Android Sulastri Sulastri
Bulletin of Computer Science Research Vol. 1 No. 1 (2020): Desember 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Traditional dance is a dance that is passed down from the community to its people who grow and develop in certain areas. This traditional dance has a high historical value in customs. Not only does it have high historical value in customs, traditional dances also have different meanings from one region to another. This android-based traditional dance application was created which would be useful for the community, especially teenagers, as information for them, and would save more in buying books about regional dances. With this application, it will make it easier for readers to find out the meaning of a dance in their respective areas. The moore turbo boyer algorithm is an algorithm derived from the moore boyer algorithm. Where the moore turbo boyer algorithm has the advantage of having the possibility to skip the factor of a text and the moore turbo boyer algorithm also has the advantage of allowing turbo shift.

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