CD Skripsi

Penerapan Metode Chaid Dan Algoritma C4.5 Untuk Mengkl Asifika Si Pasien Terd Iagnosa Tuberkulosis Di Rsud Arifin Achmad Provinsi Riau

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Tuberculosis (TB) is a chronic infectious disease caused byMycobacterium tuberculosis. Tuberculosis is the highest cause of death in the world and is experienced by many people. This research discusses the application of the CHAID method and the C4.5 algorithm to classify someone diagnosed as positive for TB. The data used was obtained from patients diagnosed with TB at Arifin Achmad Regional Hospital, Riau Province in 2020-2022 with the variables used being age, gender, patients experiencing shortness of breath, coughing, fever, chest pain and working status. The results show that the C4.5 algorithm is better in classifying Tuberculosis at Arifin Achmad Hospital, Riau Province in 2020-2022 compared to the CHAID method with a value balanced accuracy which is higher, namely 53,72%. The most influential variable in classifying someone as positive for TB in the C4.5 Algorithm and the CHAID method is the cough variable.
Keywords: Tuberculosis, classification, CHAID, Algorithm C4.5.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903111534

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903111534

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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