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Adyan N. Alfiyatin
Brawijaya University
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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Performance Analysis of Data Mining Methods for Sexually Transmitted Disease Classification Gusti E. Yuliastuti; Adyan N. Alfiyatin; Agung M. Rizki; A. Hamdianah; H. Taufiq; W. F. Mahmudy
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.135 KB) | DOI: 10.11591/ijece.v8i5.pp3933-3939

Abstract

According to health reports of Malang city, many people are exposed to sexually transmitted diseases and most sufferers are not aware of the symptoms. Malang city being known as a city of education so that every year the population number increases, it is at risk of increasing the spread of sexually transmitted diseases virus. This problem is important to be solved to treat earlier sufferers sexually transmitted diseases virus in order to reduce the burden of patient spending. In this research, authors conduct data mining methods to classifying sexually transmitted diseases. From the experiment result shows that K-NN is the best method for solve this problem with 90% accuracy.
Co-Authors A. Hamdianah Agung M. Rizki Gusti E. Yuliastuti H. Taufiq W. F. Mahmudy