The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

Research Article

Diagnosis System of Toddler Diseases Using Forward Chaining and Case-Based Reasoning

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  • @INPROCEEDINGS{10.4108/eai.24-10-2018.2280501,
    author={Indah Werdiningsih and Aisyah Shofiyyah Asma and Rimuljo Hendradi and Kartono Kartono and Purbandini Purbandini and Barry Nuqoba and Elly Anna},
    title={Diagnosis System of Toddler Diseases Using Forward Chaining and Case-Based Reasoning},
    proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus},
    publisher={EAI},
    proceedings_a={ICCSET},
    year={2018},
    month={11},
    keywords={case-based reasoning forward chaining nearest neighbour similarity minkowsky distance similarity euclidean distance similarity},
    doi={10.4108/eai.24-10-2018.2280501}
}
  • Indah Werdiningsih
    Aisyah Shofiyyah Asma
    Rimuljo Hendradi
    Kartono Kartono
    Purbandini Purbandini
    Barry Nuqoba
    Elly Anna
    Year: 2018
    Diagnosis System of Toddler Diseases Using Forward Chaining and Case-Based Reasoning
    ICCSET
    EAI
    DOI: 10.4108/eai.24-10-2018.2280501
Indah Werdiningsih1,*, Aisyah Shofiyyah Asma1, Rimuljo Hendradi1, Kartono Kartono1, Purbandini Purbandini1, Barry Nuqoba1, Elly Anna2
  • 1: Study Program of Information System, Faculty of Science and Technology, Airlangga University
  • 2: Study Program of Statistic, Faculty of Science and Technology, Airlangga University
*Contact email: indah-w@fst.unair.ac.id

Abstract

Toddlers are children aged 12-36 months. This study aims to diagnose toddler diseases using forward chaining and Case-Based Reasoning (CBR). There are 16 types of toddler diseases. This study consist of two steps, i.e., diagnosis using forward chaining and diagnosis using CBR. Diagnosis using forward chaining generated 18 rules. These rules were used to determine toddler diseases type, and diagnosis using CBR focused on three types of CBR calculations, i.e., Nearest Neighbour Similarity (NNS), Minkowsky Distance Similarity (MDS), and Euclidean Distance Similarity (EDS). The results of system testing using 600 data, the accuracy of diagnosis were 82% and 90%, using forward chaining and CBR respectively. Based on these results, diagnosis using CBR was better than forward chaining, because CBR justified the data that were considered wrong, to be repaired by an expert and then made them as new cases

Keywords
case-based reasoning forward chaining nearest neighbour similarity minkowsky distance similarity euclidean distance similarity
Published
2018-11-29
Publisher
EAI
http://dx.doi.org/10.4108/eai.24-10-2018.2280501
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