Penerapan Algoritma Naïve Bayes Untuk Analisis Pengaruh Faktor Pendidikan Terhadap Peningkatan Kesehatan Masyarakat
DOI:
https://doi.org/10.29408/jit.v7i2.26470Keywords:
Naïve bayes Algorithm, Health, EducationAbstract
Health and Education are the main capital in realizing the nation's progress. Because quality and productive human resources are those who have a good level of health. People who have low education usually cannot receive current information about health, they prefer traditional health care such as going to a shaman or healer rather than going to the doctor. The aim of this research is to determine the influence of educational factors on public health. Data obtained through surveys and data collection carried out in the Sustainable Development Goals (SDGs) program or what we can interpret as sustainable development goals. 4429 data were obtained which included: economic data, health data, poverty data, gender data, education data and environmental data. The data obtained is used by researchers as attributes or variables to support decision making. This research uses a classification method with the Naïve Bayes algorithm with the accuracy value as the final value of the research. Data processing uses Rapid Miner software. From the test results it turns out to have an accuracy rate of 65.19%. Testing was carried out using k-fold validation, starting from k-fold validation 2 to 10. And the highest accuracy value was found at k-fold 6
References
H. Annur, “Klasifikasi Masyarakat Miskin Menggunakan Metode,” vol. 10, pp. 160–165, 2018.
B. Juli, D. M. Fauzan, M. S. St, P. Matematika, and F. Uny, “Jurnal Kajian dan Terapan Matematika,” vol. 8, pp. 75–84, 2022.
F. Eka, “Perbandingan Algoritma C4.5 Dan Naive Bayes Untuk Menentukan Kelayakan Penerima Bantuan Program Keluarga Harapan,” Sist. Inf., vol. 9, no. 1, pp. 103–115, 2020.
A. Irmansyah, “Komparasi Akurasi Pada Naïve Bayes Dan Random Forest Dalam Klasifikasi Penyakit Liver Comparison of Accuracy in Naïve Bayes and Random Forests in Classification of Liver Disease,” vol. 7, no. January, pp. 81–89, 2022.
A. Suandi, “Klasifikasi, Machine Learning, Naïve Bayes, Random Forest, PIP.,” vol. 10, no. 2, 2022.
N. S. Qomah and S. K. Akuntansi, “Jurnal Data Science & Informatika ( JDSI ),” vol. 2, no. 1, pp. 35–40, 2022.
S. U. Putri, “Implementasi Data Mining Untuk Prediksi Penyakit Diabetes,” vol. 2, no. 1, pp. 39–46.
B. S. Gandhi, D. A. Megawaty, and D. Alita, “Aplikasi Monitoring Dan Penentuan Peringkat Kelas,” vol. 2, no. 1, pp. 54–63, 2021.
A. Pariddudin and F. S. Warsa, “Penerapan Algoritma C4.5 Untuk Rekomendasi Mentor Santri Baru,” TeknoIS J. Ilm. Teknol. Inf. dan Sains, vol. 13, no. 1, pp. 44–49, 2023
M. R. Handoko, F. Teknik, and U. T. Indonesia, “Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web,” vol. 2, no. 1, pp. 50–58, 2021.
N. B. Putri and A. W. Wijayanto, “Analisis Komparasi Algoritma Klasifikasi Data Mining Dalam Klasifikasi Website Phishing Comparative Analysis Of Data Mining Classification Algorithm In Phishing Website Classification,” vol. 11, no. 28, pp. 59–66, 2022
Y. A. Wijaya et al., “Analisa Klasifikasi menggunakan Algoritma Decision Tree pada Data Log Firewall Jurnal Sistem Informasi dan Manajemen,” vol. 9, no. 3, 2021.
M. Mahpuz, A. Muliawan Nur, and L. M. Samsu, “Penerapan Algoritma C4.5 Dalam Mengklasifikasi Status Gizi Balita Pada Posyandu Desa Dames Damai Kabupaten Lombok Timur,” Infotek J. Inform. dan Teknol., vol. 5, no. 1, pp. 72–81, 2022
S. Widaningsih, “Perbandingan Metode Data Mining Untuk Prediksi Nilai Dan Waktu Kelulusan Mahasiswa Prodi Teknik Informatika Dengan Algoritma C4,5, Naïve Bayes, Knn Dan Svm,” J. Tekno Insentif, vol. 13, no. 1, pp. 16–25, 2019,
A. Residencia, “Klasifikasi Kelayakan Peserta Pengajuan Kredit Rumah Dengan Algoritma Naïve Bayes Di Perumahan Azzura Residencia,” vol. 9, pp. 43–48, 2019.
N. I. Nurhidayati, Y. Yahya, F. Fathurrahman, L. . Samsu, and W. Amnia, “Implementasi Algoritma Naive Bayes Untuk Klasifikasi
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Infotek: Jurnal Informatika dan Teknologi
This work is licensed under a Creative Commons Attribution 4.0 International License.
Semua tulisan pada jurnal ini menjadi tanggung jawab penuh penulis. Jurnal Infotek memberikan akses terbuka terhadap siapapun agar informasi dan temuan pada artikel tersebut bermanfaat bagi semua orang. Jurnal Infotek ini dapat diakses dan diunduh secara gratis, tanpa dipungut biaya sesuai dengan lisense creative commons yang digunakan.
Jurnal Infotek is licensed under a Creative Commons Attribution 4.0 International License.
Statistik Pengunjung
