Deteksi Dini Hipertensi Pada Perusahaan Jasa Keamanan Menggunakan Metode Decision Tree
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A. Syntya, “Hipertensi Dan Penyakit Jantung: Literature Review,” J. Ilm. Permas J. Ilm. STIKES Kendal, vol. 11, no. 4, hal. 541–550, 2021, [Daring]. Tersedia pada: http://journal.stikeskendal.ac.id/index.php/PSKM
E. Pramana, “Kemenkes Ungkap Penderita Hipertensi di Indonesia Terus Meningkat,” 2022. Diakses: 7 Juli 2023. [Daring]. Tersedia pada: https://www.jawapos.com/kesehatan/01385842/kemenkes-ungkap-penderita-hipertensi-di-indonesia-terus-meningkat
M. A. Aprianur, “Peran Artificial intelligence Dalam Deteksi Penyakit Hipertensi: Sistematik Review,” no. January, 2022, [Daring]. Tersedia pada: https://www.researchgate.net/publication/377086205
M. Rifai dan D. Safitri, “Edukasi Penyakit Hipertensi Warga Dukuh Gebang Kabupaten Gunungkidul,” J. BUDIMAS, vol. 04, no. 02, hal. 1–6, 2022.
I. N. Wirakhmi dan D. Novitasari, “Pemberdayaan Kader Pengendalian Hipertensi,” J. Altifani Penelit. dan Pengabdi. Kpd. Masy., vol. 1, no. 3, hal. 240–248, 2021, doi: 10.25008/altifani.v1i3.162.
E. Suprayitno dan N. Huzaimah, “Pendampingan Lansia Dalam Pencegahan Komplikasi Hipertensi,” SELAPARANG J. Pengabdi. Masy. Berkemajuan, vol. 4, no. 1, hal. 518, 2020, doi: 10.31764/jpmb.v4i1.3001.
A. B. Priyambodo, A. Andrean, D. A. Kamila, M. R. Erwanenda, dan R. T. Ambar Sari, “DETEKSI DINI HIPERTENSI DAN DIABETES MELITUS PADA,” vol. 4, no. 2, 2022.
E.- Purwanto, V. Atina, dan E. S. Desylawati, “Sistem Pakar Deteksi Dini Gangguan Mata dan Syaraf Akibat Penggunaan Smartphone,” J. Inform. Upgris, vol. 3, no. 2, hal. 152–162, 2017, doi: 10.26877/jiu.v3i2.1841.
L. P. Nguyen et al., “The Utilization of Machine Learning Algorithms for Assisting Physicians in the Diagnosis of Diabetes,” Diagnostics, vol. 13, no. 12, hal. 2087, 2023, doi: 10.3390/diagnostics13122087.
Elena et al., “Machine Learning for Credit Scoring : Improving Logistic Regression with Non-Linear Decision-Tree,” no. Fre 2014, hal. 1–35, 2021.
Aditya, F. M. Rizki, dan A. Nuril Lutvi, “Prediction of Hypertension Disease Using Decision Tree and Random Forest Methods [ Prediksi Penyakit Hipertensi Menggunakan metode Decision Tree dan Random Forest ],” hal. 1–9, 2023.
N. K. Surbakti, “Data Mining Pengelompokan Pasien Rawat Inap Peserta BPJS Menggunakan Metode Clustering (Studi Kasus : RSU.Bangkatan),” J. Inf. Technol., vol. 1, no. 2, hal. 47–53, 2021, doi: 10.32938/jitu.v1i2.1470.
D. Papakyriakou dan I. S. Barbounakis, “Data Mining Methods: A Review,” Int. J. Comput. Appl., vol. 183, no. 48, hal. 5–19, 2022, doi: 10.5120/ijca2022921884.
I. W. Gamadarenda dan I. Waspada, “Implementation of Data Mining for the Detection of Chronic Kidney Disease (Ckd) Using K-Nearest Neighbor (Knn) With Backward Elimination,” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 2, hal. 417–426, 2020, doi: 10.25126/jtiik.202071896.
R. T. Wulandari, “Model Data Mining Sebagai Prediksi Penyakit Hipertensi Kehamilan dengan Teknik Decision Tree,” Model Data Min. Sebagai Prediksi Penyakit Hipertens. Kehamilan dengan Tek. Decis. Tree, vol. 3, no. 1, hal. 19–26, 2018.
D. Kurniawan, Pengenalan Machine Learning dengan Python. PT Elex Media Komputindo, 2022.
S. A. Ramadhan, “Decision Tree Algoritma Beserta Contohnya Pada Data Mining.” Diakses: 11 Juli 2023. [Daring]. Tersedia pada: https://sis.binus.ac.id/2022/01/21/decision-tree-algoritma-beserta-contohnya-pada-data-mining/
I. Zulkarnaen, O. E. Wulandari, Padulah, dan H. Kurnia, “Identifikasi pohon keputusan hipertensi dengan sistem RapidMiner dan metode klasifikasi Hypertension decision tree identification with RapidMiner system and classification method,” vol. 03, no. 01, hal. 63–71, 2023.
M. Z. I. Chowdhury, A. A. Leung, K. C. Sikdar, M. O’Beirne, H. Quan, dan T. C. Turin, “Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population,” Sci. Rep., vol. 12, no. 1, hal. 1–19, 2022, doi: 10.1038/s41598-022-16904-x.
Y. A. Singgalen, “Implementation of CRISP-DM for Social Network Analysis ( SNA ) of Tourism and Travel Vlog Content Reviews,” vol. 8, hal. 572–583, 2024, doi: 10.30865/mib.v8i1.7323.
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