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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
 1 
Search results for , issue "Vol 4, No 1 (2020): March 2020" : 5 Documents clear
Analysis of Even-Rodeh Code For Text Compression Rian Syahputra
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (129.023 KB) | DOI: 10.30865/ijics.v4i1.1348

Abstract

Text compression is used to reduce the repetition of letters so that the storage space used becomes smaller and transmission becomes faster. Techniques in text compression that can be used are using lossless compression. Lossless compression is a type of compression where when the decompression process occurs no data is lost. The Even-Rodeh Code algorithm is a lossless type of compression algorithm that replaces the initial bit code of the data with a code from the Even-Rodeh Code algorithm so that it can produce smaller data sizes
Improving the Quality of Digital Images Using the Image Averaging Method Upa Yuandari
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.44 KB) | DOI: 10.30865/ijics.v4i1.1982

Abstract

Image is a representation (picture), similarity, or imitation of an object. The use of digital images plays an important role as a form of information due to its advantages. Although it is rich in information, not all images have a good visual appearance. This can be due to interference in the form of noise, color intensity that is too contrasting or blurred. Noise itself is a disturbance caused by distorted digital data received by the image data receiver, starting from the movement during shooting by optical devices such as cameras, the use of optical devices that are not in focus, short lighting thereby reducing the number of photos captured by optical devices, or the weather when shooting. Noise can be removed by using the Image Averaging Method 
Application of the Hungarian Method for Assigning Workers to Ciptaland Development Wosvo Aritonang; Nelly Astuti Hasibuan; Rivalri Kristianto Hondro
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (269.41 KB) | DOI: 10.30865/ijics.v4i1.1983

Abstract

Assignment of workers is something that is needed by the company. But in reality the company is difficult to place its employees in each allocation. However, with the development of existing technology, this can be minimized by calculating the cost of each work and each allocation by utilizing existing data and extraction to produce new knowledge. The application of operational research techniques using the Hungarian method and tested using a system or application as a decision tree to assign some decent workers to be placed on jobs within the company. Therefore the author took the initiative to make a thesis entitled "Application of the Hungarian Method in Assigning Ciptaland Development Workers". The assignment process can show every worker by the company. So that Ciptaland Development can be a reference in making decisions in assigning and allocating workers. In this study, an Assignment model was made to determine the allocation of workers who were fit to be placed. This method is quite efficient in the allocation of workers. In applying this hungarian method can provide solutions or considerations for companies in making decisions 
Decision Support System for Determination of Village Fund Allocation Using AHP Method Vasma Vitriani Sianipar; Anjar Wanto; M Safii
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.263 KB) | DOI: 10.30865/ijics.v4i1.2101

Abstract

This study aims to describe the management of the allocation of village funds in physical development in the village of Siborna, Panei Subdistrict, Simalungun Regency and to identify inhibiting factors and supporting factors in managing village fund allocation. The focus of this research is the management of village fund allocations which include: planning, implementation. The determination of the allocation of village funds will later use the Analytical Hierarchy Process (AHP) method with 4 criteria including: villagers, rural poor, village area and Village Geographical Difficulty Index. Alternative Samples in this study were 4 villages, including the villages of Sosor Hamlet, Simpang Bahbirong Hamlet, Hutabagasan Hamlet and Kebun Sayur Hamlet. The results of this study using the AHP method obtained by the Village of Vegetable Farm Village is an alternative with the highest value that is eligible to get a village fund allocation from the government with a value of 3,0000
Comparison Analysis with Huffman Algorithm and Goldbach Codes Algorithm in File Compression Text Using the Method Exponential Comparison Abu Sani Tanjung; Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.25 KB) | DOI: 10.30865/ijics.v4i1.1387

Abstract

With the development of technology at this time many people know about compression. In simple compression is a process to shrink the file from its original size. At this time compression applications that are often used are WinZip, WinRar, and 7-Zip, namely with the aim of compressing documents and saving space on memory or data transmission. Compressed data can be in the form of images, audio, video and text. The use of the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is intended to provide enormous benefits in the sending and storage process and requires less memory space compared to uncompressed text. The algorithm starts by providing a string of inputs as input, how to produce an algorithm output in the form of a binary string or code that translates each input string, so that the string has a small number of bits compared to strings that are not compressed. Thus, the problem is how to obtain the code with sorted characters and frequency tables as input and shorter binary code as output. In applying the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is very good, the results were not reduced from the original file or there was no reduction

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