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  • Institute of Advanced Engineering and Science  (3)
  • 1
    Online Resource
    Online Resource
    Expert System of Quail Disease Diagnosis using Forward Chaining Method
    Institute of Advanced Engineering and Science ; 2017
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 5, No. 1 ( 2017-01-01), p. 206-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 5, No. 1 ( 2017-01-01), p. 206-
    Abstract: 〈 p class="Normal1" 〉 Expert system applications were in great demand in various circles since 1950, with a coverage area that was large. Expert System on the organization was aimed at adding value, increasing productivity as well as the area of managerial can make decisions quickly and accurately. Neither with organizations that did business quail, which was very promising, but needed to be alert for the presence of disease in quail healthy, as in the case in birds quail were highly vulnerable to various kinds of diseases caused by viruses or bacteria. the benefits of the expert system that was able to diagnose quickly and accurately to the symptoms of the disease caused was expected to helped the farmers in of anticipation the many losses caused by disease. Required accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v5.i1
    DOI: 10.11591/ijeecs.v5.i1.pp206-213
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Mining Association Rules: A Case Study on Benchmark Dense Data
    Institute of Advanced Engineering and Science ; 2016
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 3, No. 3 ( 2016-09-01), p. 546-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 3, No. 3 ( 2016-09-01), p. 546-
    Abstract: 〈 p class="Abstract" 〉 Data mining is the process of discovering knowledge and previously unknown pattern from large amount of data. The association rule mining (ARM) has been in trend where a new pattern analysis can be discovered to project for an important prediction about any issues. Since the first introduction of frequent itemset mining, it has received a major attention among researchers and various efficient and sophisticated algorithms have been proposed to do frequent itemset mining. Among the best-known algorithms are Apriori and FP-Growth. In this paper, we explore these algorithms and comparing their results in generating association rules based on benchmark dense datasets. The datasets are taken from frequent itemset mining data repository. The two algorithms are implemented in Rapid Miner 5.3.007 and the performance results are shown as comparison. FP-Growth is found to be better algorithm when encountering the support-confidence framework. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v3.i3
    DOI: 10.11591/ijeecs.v3.i3.pp546-553
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2016
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Enterprise Architecture Characteristics in Context Enterprise Governance Base On COBIT 5 Framework
    Institute of Advanced Engineering and Science ; 2016
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 3, No. 1 ( 2016-07-01), p. 240-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 3, No. 1 ( 2016-07-01), p. 240-
    Abstract: 〈 em 〉 〈 span 〉 The existence of the enterprise architecture is an attempt of managing and planning over the evolution of information systems in the sphere of an enterprise with model-based. In developing the enterprise architecture, there are several tools definition of components in the system. This tool is known as enterprises architecture (EA) framework. In this paper, we present a method to build a model of enterprise architecture in accordance with the needs of the Organization by Understanding the characteristics of the EA framework such as Zachman, TOGAF, and FEAF. They are selected as the EA framework will be used to determine the characteristics of an EA because the framework is most widely used in corporate or Government. In COBIT 5 framework, there is a process associated with enterprise architecture it is APO03 Manage Enterprise Architecture. At this stage of the research, we describe the link between the characteristics of the EA with one process in COBIT 5 framework. The results contribute to give a recommendation how to design EA for organization based on the characteristic of EA in Context Enterprise Governance using COBIT 5 Framework. 〈 /span 〉 〈 /em 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v3.i1
    DOI: 10.11591/ijeecs.v3.i1.pp240-248
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2016
    Location Call Number Limitation Availability
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    Online Resource
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