Dengue Hemorrhagic Fever, or DHF, is an infectious disease caused by the dengue virus. Diseases that are dangerous and at risk of death must be treated quickly and precisely. The determination that someone is suffering from DHF or not can be done with the classification technology, namely the decision tree method, the C5.0 algorithm. Over time, the number of features in the classification increases. Feature reduction is needed for a good model, namely the Binary Particle Swarm Optimization (BPSO) algorithm. This research used 13 features consisting of 12 independent features and one bound feature with two classes: Positive and Negative. The better model in this study is the classification C5.0 algorithm based on BPSO, which can reduce features from 12 to 9 features with an accuracy of 86% compared to classification with the C5.0 algorithm alone, which produces an accuracy of 71%.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Klasifikasi penyakit Demam Berdarah Dengue (DBD) menggunakan algoritma C5.0 berbasis Binary Particle Swarm Optimization (BPSO)


    Beteiligte:

    Erscheinungsdatum :

    2023-05-22


    Anmerkungen:

    doi:10.26555/konvergensi.v9i2.26089
    Jurnal Ilmiah Matematika; Vol 9, No 2 (2022) ; 2774-3241 ; 2087-8796



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Optimasi Biaya Distribusi pada HFVRP Menggunakan Algoritma Particle Swarm Optimization

    Lukman, Ismanitami / Hanafi, Rosmalina / Parenreng, Syarifuddin M | BASE | 2019

    Freier Zugriff


    Study on Wartime Aviation Network Planning Based on Binary Particle Swarm Optimization(BPSO) Algorithm

    Ye Zelong / Wu Minggong / Zhu Deshan et al. | DOAJ | 2019

    Freier Zugriff

    PROGRAM KLASIFIKASI MANAJEMEN LABA PADA BANK SYARIAH MENGGUNAKAN LOGIKA FUZZY BERBASIS MATLAB

    Putri, Rizka Yulianti / Agushinta R, Dewi / Octavia, Martina et al. | BASE | 2019

    Freier Zugriff