Joint Workshop KO2PI and The 1st International Conference on Advance & Scientific Innovation

Research Article

Analysis Iterative algorithms Dichotomizer (ID3): The Satisfaction Study in Computer Laboratory

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  • @INPROCEEDINGS{10.4108/eai.23-4-2018.2277581,
        author={Ibnu Rasyid Munthe and Sumitro Sarkum and Volvo Sihombing},
        title={Analysis Iterative algorithms Dichotomizer (ID3): The Satisfaction Study in Computer Laboratory},
        proceedings={Joint Workshop KO2PI and The 1st International Conference on Advance \& Scientific Innovation},
        publisher={EAI},
        proceedings_a={ICASI},
        year={2018},
        month={7},
        keywords={decision tree iterative dichotomize (id3) (crisp-dm) rapidminer},
        doi={10.4108/eai.23-4-2018.2277581}
    }
    
  • Ibnu Rasyid Munthe
    Sumitro Sarkum
    Volvo Sihombing
    Year: 2018
    Analysis Iterative algorithms Dichotomizer (ID3): The Satisfaction Study in Computer Laboratory
    ICASI
    EAI
    DOI: 10.4108/eai.23-4-2018.2277581
Ibnu Rasyid Munthe1,*, Sumitro Sarkum1, Volvo Sihombing1
  • 1: Akademi Manajemen Informatika Labuhan Batu
*Contact email: ibnurasyidmunthe@gmail.com

Abstract

The purpose of this article to explore the information level of student satisfaction in a computer laboratory. This study was used algorithms Iterative Dichotomizer (ID3) to represent the concepts in the form of a decision tree, the existance a decision tree to produce a good algorithm training data to help decide the completation of good problems in laboratory facilities. The research method was used the Cross Industry Process For Data Mining (CRISP-DM). RapidMiner as an application in the making of a decision tree ( Decision Tree ) and test level data of the student’s satisfaction. The Result of of student’s satisfaction in a computer laboratory facilities were processed on a Rapid miner has been constructed a decision tree. The Decision trees were tested used the Confusion Matrix to produce value accuracy of the decision tree. The sample was used a students of AMIK Labuhanbatu and the results showed that student satisfaction in a computer laboratory facilities about 92.86%. The value Precision of the decision tree for student satisfaction in the computer laboratory facilities AMIK Labuhan Batu about 91.18% by a positive class: Satisfied. The value recall of a decision tree for student satisfaction in the computer laboratory facilities AMIK Labuhan Batu about 100.00% by a positive class: Satisfied and produce AUC value about: 0933 0133 +/- (micro: 0933) (positive class: Satisfied) Average Value AUCbetween 0 9 0 - 0 1 0 with a classification of Very Good.