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The IJICS (International Journal of Informatics and Computer Science)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25488449     EISSN : 25488384     DOI : https://doi.org/10.30865/ijics
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The The IJICS (International Journal of Informatics and Computer Science) covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • 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 • Cognitive systems • 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 • Memetic Computing • Multimedia and Applications • 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 • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 3, No 1 (2019): March 2019" : 5 Documents clear
Analysis Of Database Record Compression Using The Levenstein Algorithm Rian Syahputra
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (204.507 KB) | DOI: 10.30865/ijics.v3i1.1347

Abstract

Data stored in the database affects how much storage memory is used. The more data stored, the more memory will be used. To reduce memory usage it is necessary to reduce the data to be stored. The technique that can be used is data compression. Levenstein algorithm is a data compression technique that replaces the initial bits of the string, resulting in smaller compression. Levenstein algorithm is suitable for compressing data that has many repetitions.
Decision Support System For The Selection Of The Best Extension Officers Applying The Method Of Additive Ratio Assessment (Case Study: Department Of Agriculture Deli Serdang) Hotni Rotua Br Hutapea
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.628 KB) | DOI: 10.30865/ijics.v3i1.1355

Abstract

Agricultural extension workers are agents of change directly related to farmers. The selection of instructors so far that takes place at the Deli Serdang Agriculture Office takes a very long process, based on the problem, a decision support system (SPK) is needed that can facilitate the selection of the best instructors by using existing criteria. One method used is Additive Ratio Assessment (ARAS). The ARAS method is able to solve problems in decision making with alternatives and criteria that have been given weight. Research using ARAS ranks the lowest extension to the highest ranking. The best instructor selection system was built using Microsoft Visual Studio 2008 and MySQL as a database.
Application of Multi Criteria Supporting Elemination and Choice Translation Reality (ELECTRE) Decision in Determining Scholarship Recipients for Employee Children at PT. Nusira Mesran Mesran; Afsah Rizki; Natalia Silalahi
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.709 KB) | DOI: 10.30865/ijics.v3i1.1356

Abstract

During this time the determination of scholarship recipients for employees' children at PT. Nusira is not so good and is considered not so objective because it is still done by direct election and carried out manually so that it causes nepotism or prioritizes choosing employees who have high positions so that it is not so fair for ordinary employees. Due to the absence of a good system, causing problems to arise in terms of determining the receipt of scholarships for employees' children. Therefore, by using a decision support system based on Elimination and Choice Translation Reality (Electre). It is expected that decision-makers will be helped and reduce existing problems, especially in determining the acceptance of scholarships for employees' children.
Implementation of Weight Sum Model(WSM) in the Selection of Football Athletes Lince Tomoria Sianturi
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.988 KB) | DOI: 10.30865/ijics.v3i1.1358

Abstract

Every soccer team has a standard that is used by coaches in determining athletes that fit the criteria owned by athletes. In this study, researchers used a decision support system (SPK) with the Weight Sum Model (WSM) method, which assesses the results of the criteria needed in the selection of soccer athletes. Decisions made in applying the WSM method will produce recommendations according to the standards used by the trainer. The purpose of this research is to apply the WSM method in selecting soccer athletes based on the desired category. The existence of this system is expected to make selection more objective for trainers in making decisions
Data Compression Using Stout Codes Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 3, No 1 (2019): March 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.479 KB) | DOI: 10.30865/ijics.v3i1.1362

Abstract

The need for data compression is now very important because it is affected by human nature that tends to collect data and also influenced by the need for a process for fast data transfer because the data size becomes smaller. Now many compression algorithms can be used, one of which is the stout codes algorithm. how the stout code algorithm works by encoding characters that often appear with smaller codes than characters with fewer occurrences. The results of data compression in the form of text with the algorithm of the stout code algorithm is the size of the text data becomes smaller with a compression ratio 60% and space saving 40%.

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