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All Journal Majalah Kedokteran Scientific Journal of Informatics Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka
Karina
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Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Social Sciences

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Journal : Scientific Journal of Informatics

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Analisis Perbandingan Prediksi Harapan Hidup Hepatitis Menggunakan Algoritma K-Nearest Neighbor dan C4.5 Karina; Hanum, Herlina; Desiani, Anita
Jurnal Ilmiah Informatika Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i2.98-111

Abstract

Hepatitis is an inflammatory disease of the liver caused by a virus that causes damage to the cells and function of the liver. This study compares the accuracy, precision, and recall results of the K-Nearest Neighbor (K-NN) and C4.5 algorithms using the Percentage Split and K-fold Cross Validation methods. Of the two algorithms, the best level of accuracy is obtained using the K-fold Cross Validation method. Based on the accuracy and error rate, the best algorithm for predicting life expectancy for hepatitis sufferers is the K-NN algorithm. Based on the special Precision and Recall values ​​on the Recall value to predict class zero the best algorithm is obtained using the C4.5 algorithm. To assess Precision and Recall, the other best algorithm in predicting the fixed response variable is obtained by using the K-NN algorithm. Overall, the best algorithm for predicting life expectancy for hepatitis sufferers is the K-Nearest Neighbor (K-NN) algorithm.
Co-Authors Andriana, Jumaini Anita Desiani Batubara, Frisca Herlina Hanum, Herlina Nita Novriandina, Shanaz Nur Ramadani, Fikria Nurul Azmi, Nurul Panjaitan, Ani O. Remelia, Melinda Siti Syarah, Eneng Sitohang, John Sitompul, Yunita R.M.B Wiyanto, Marwito