Aplikasi Klasifikasi Penyakit TBC Menggunakan Metode Naïve
Bayes Classifier
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Erdami, Tifanny
Hartanti, Dian
Suliyanti, Widya Nita
Hartanti, Dian
Suliyanti, Widya Nita
Subject
Teknik Informatika
Datestamp
2022-09-23 02:22:58
Abstract :
Tuberculosis is a disease caused by micro tuberculosis bacteria, if not get the treatment quickly and precisely it will endanger the patient to cause death. To know the classification of TB disease then used Naïve Bayes Classifier, that is algorithm that do probability comparison based on trainer data obtained from data of patient suffering from TB disease at puskesmas Batu 10 Tanjungpinang. With sample data amounting to 100 data, 70 for train data and 30 data for test data using 6 attributes. Based on testing using Confusion Matrix with test data of 30 data can be declared algorithm yield accuracy equal to 86,667%, precision equal to 92,59%, and recall 96,15% in data classification process.
Tuberculosis is a disease caused by micro tuberculosis bacteria, if not get the treatment quickly and precisely it will endanger the patient to cause death. To know the classification of TB disease then used Naïve Bayes Classifier, that is algorithm that do probability comparison based on trainer data obtained from data of patient suffering from TB disease at puskesmas Batu 10 Tanjungpinang. With sample data amounting to 100 data, 70 for train data and 30 data for test data using 6 attributes. Based on testing using Confusion Matrix with test data of 30 data can be declared algorithm yield accuracy equal to 86,667%, precision equal to 92,59%, and recall 96,15% in data classification process.
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