Komparasi Algoritma Machine Learning dalam Memprediksi Penyakit Gagal Ginjal

Authors

  • Wahyu Ardiantito S Universitas Negeri Medan
  • Rizki Agung Ramadhan Universitas Negeri Medan
  • Richard Steven Immanuel S Universitas Negeri Medan

DOI:

https://doi.org/10.59059/mutiara.v1i6.781

Keywords:

PGGK, K Nearest Neighbor, Support Vector Machine, SMOTE

Abstract

Chronic Kidney Disease (CKD) is a serious health problem, with significant impact on patients' quality of life and healthcare costs. In an effort to improve early diagnosis, a comparison was made between several Machine Learning algorithms used for analysis of patient clinical data. This clinical data contains the medical history or health records of patients. The Machine Learning algorithms used in this study include K Nearest Neighbor (KNN), Support Vector Machine (SVM), and Logistic Regression. By searching for the best algorithm through the calculation of Accuracy, Precision, and Recall with comparasion when using SMOTE (Synthetic Minority Oversampling) to balancing the class attribute.   

References

A. C. Narsa, V. Maulidya, D. Reggina, W. Andriani, and H. R. Rijai, “Studi Kasus: Pasien Gagal Ginjal Kronis (Stage V) dengan Edema Paru dan Ketidakseimbangan Cairan Elektrolit,” Jurnal Sains dan Kesehatan, vol. 4, no. SE-1, pp. 17–22, Dec. 2022, doi: 10.25026/jsk.v4ise-1.1685

M. Ravly Andryan et al., “KOMPARASI KINERJA ALGORITMA XGBOOST DAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) UNTUK DIAGNOSA PENYAKIT KANKER PAYUDARA,” Jurnal Informatika dan Komputer), vol. 6, no. 1, pp. 1–5, 2022.

Utomo,D.P., Mesran., “Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut pada Data Set Penyakit Jantung,” Jurnal Media Informatika Budidarma, vol. 4, no 2, pp 437-444, 2020.

Handayanto, A., Latifa, K., Saputro, N., D., Waliyansyah, R., R., “Analisis dan Penerapan Algoritma Support Vector Machine (SVM) dalam Data Mining untuk Menunjang Strategi Promosi.” JUITA:Jurnal Informatika, vol.7, no.2. 2019

Amalia, A., Zaidiah, A., Isnainiyah, I., N., “Prediksi Kualitas Udara Menggunakan Algoritma K-Nearset Neigbor”

Harun, R., Pelangin, Lasena, Y., “Penerapan Data Mining Untuk Menentukkan Potensi Hujan Harian Dengan Menggunakan Algoritna K-Nearest Neighbor(KNN).” MISI (Jurnal Manajemen Informatika & Sistem Informasi), vol.3, no.1. 2020

Handayani, F., Kusuma, K., S., Asbudi, H., L., Purnasiwi, R., G., Kusuma, R., Sunyoto, A., Pradnya, W., M., “Komparasi Support Vector Machine, Logistic Regression dan Artificial Neural Network dalam Prediksi Penyakit Jantung.” JEPIN(Jurnal Edukasi dan Penelitian Informatika), vol. 7, no. 3. 2021

Utami T. M., “Klasifikasi Kanker Kulit Pada Citra Dermoscopy Menggunakan Gray Level Co-Occurrence Matrix (Glcm) Dan Kernel Extreme Learning Machine (Kelm)” 2022

Downloads

Published

2023-12-05

How to Cite

Wahyu Ardiantito S, Rizki Agung Ramadhan, & Richard Steven Immanuel S. (2023). Komparasi Algoritma Machine Learning dalam Memprediksi Penyakit Gagal Ginjal. Mutiara : Jurnal Penelitian Dan Karya Ilmiah, 1(6), 363–374. https://doi.org/10.59059/mutiara.v1i6.781

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.