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KLASIFIKASI PENDERITA PENYAKIT DEMAM BERDARAH DENGUE (DBD) DENGAN METODE NAIVE BAYES

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Penilaian

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Dengue Hemorrhagic Fever (DHF) is a disease caused by infected mosquitoes, especially Aedes albopictus and Aedes aegypti mosquitoes. Dengue hemorrhagic fever is included in the category of dangerous diseases that can cause death. The length of time to know the results of the diagnosis of the disease is an obstacle for sufferers of dengue hemorrhagic fever to be given further treatment. This research was conducted to speed up knowing the results of the diagnosis using the Naïve Bayes method. Classification with Naïve Bayes is done by calculating the class probability value for each attribute. This study was conducted to obtain classification results with a high degree of accuracy and provide a diagnosis of dengue hemorrhagic fever (DHF) patients. From the results of the classification using split validation, it produces the highest accuracy value of 88.89% which is included in the excellent classification.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207005482	T85905	T859052022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T859052022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xvi, 63 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Pakar
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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