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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 2, No 1 (2018): March 2018" : 5 Documents clear
The Application of The Nearest Neighbor Algorithm in Detecting Appendicitis Disease Sari Handayani; Nelly Astuti Hasibuan; Putri Ramadhani
The IJICS (International Journal of Informatics and Computer Science) Vol 2, No 1 (2018): March 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.402 KB) | DOI: 10.30865/ijics.v2i1.817

Abstract

The expert system is a branch of artificial intelligence that facilitates the knowledge of an expert into an application that can be used to help the work of experts. The knowledge base is formed by an inference engine that translates an expert's knowledge. The result or output of the expert system can not guarantee its certainty. Therefore, it takes several methods that can be used to solve it. In this study, expert systems are applied to the medical or medical world. The following are related to the medical appendicitis disease or better known as appendicitis.Method used to improve the accuracy of the decision of the nearest neighbor algorithm. The nearest neighbor algorithm is an approach to finding a case with proximity or similarity between a new case and an old case. The results of this study is an engineering inference expertise with the aim to obtain clinical decisions of appendicitis diseases on the user (user) as medical treatment as early as
Implementing Forward, Backward Chaining and Certainty Factor in Responsive Web-Based Expert System of Cow Disease Rizki Wahyudi; Wisnu Dwi Prasetyo
The IJICS (International Journal of Informatics and Computer Science) Vol 2, No 1 (2018): March 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.552 KB) | DOI: 10.30865/ijics.v2i1.816

Abstract

This research aims to design and build expert systems of cow disease to assist farmers in identifying cattle diseases. A large number of cattle in Banyumas is not matched by the number of veterinarians, the Department of Fisheries and Livestock (DINKANAK). Banyumas records 961 cases of sick cows in 2016. This expert system is expected to assist cattle ranchers to identify cow disease and symptom-based remedies illness-symptoms. By using Inference Forward and Backward chaining which is a search method or tracking technique by using information from breeders, and Certainty Factor is used to accommodate the uncertainty of thinking of a data expert that is Doctor the process of extracting knowledge by interview. In this research system development using ESDLC (Expert System Development Life Cycle) with stages of Planning, Knowledge Acquisition, Implementation, and Evaluation. Testing is done with two approaches are Alpha Testing and Beta Testing. Alpha Testing conducted on the developer side to test the functional system using Black Box Testing method result all functional system can function well. Beta Testing is aimed at user acceptance by a Questionnaire method yields an average score of 76% or usability and the quality of system information is easy to understand.
Implementation of Base64 Algorithm for Securing SMS on Smartphones Ros Minarni
The IJICS (International Journal of Informatics and Computer Science) Vol 2, No 1 (2018): March 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.838 KB) | DOI: 10.30865/ijics.v2i1.819

Abstract

In this study the authors used the base64 algorithm, the Base64 algorithm is one algorithm for encoding and decoding a data using the ASCII format, which is based on 64 base numbers or can be said to be one of the methods used to encode (encode) binary data. The results obtained from the ROSMINARNI text message example were encoded with base64 into Uk9TTUlOQVJOSQ, the application of the Base64 algorithm to secure sms messages was done by creating a cryptographic application with the help of the Java Android programming language, the process of securing SMS messages using the Base64 algorithm can run well and produce difficult ciphertext known by ordinary people
Implementation of Triple Transposition Vegenere Cipher Algorithm and Cipher Block Chaining for Encoding Text Fitarius Humendru; Taronisokhi Zebua
The IJICS (International Journal of Informatics and Computer Science) Vol 2, No 1 (2018): March 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.421 KB) | DOI: 10.30865/ijics.v2i1.997

Abstract

Security of confidential text data and personal is very important so that the data is not misused by other parties. Many cryptographic algorithms can be used to secure data to keep the originality of confidential data. This study describes the use of triple transposition vegenere cipher algorithm which is combined with cipher block chaining mode for encoding text data with the aim to optimizing randomize of ciphers generated so that the security of confidential of data text is more optimal
Indonesian Proverbs Application Design by Applying Android Horspool Boyer Moore Algorithm Andri Agus Yahya; Nelly Astuti Hasibuan; Putri Ramadhani
The IJICS (International Journal of Informatics and Computer Science) Vol 2, No 1 (2018): March 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.645 KB) | DOI: 10.30865/ijics.v2i1.998

Abstract

Proverbs are words or groups of words which states a purpose or will, circumstance of someone, something, or something that express behavior, actions and things about a person indirectly, but implicitly convey a message that can be understood by both the reader and the listener. String matching is an algorithm to search for all occurrences of short and long strings, and for short strings called patterns and long strings called text. Horspool Algorithm is a simplification of the Boyer-Moore algorithm which in search of text is to search in large text to find the first pattern. Because the text sought can be very large (allowing hundreds of thousands of characters) it is important to use more efficient techniques based on that case, a search application based on android is made to make it easier for someone to find proverbs because not everyone understands this and that makes it more practical and efficient in terms of its use without having to carry proverbs in print media such as books.

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