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Identifikasi pohon keputusan hipertensi dengan sistem RapidMiner dan metode klasifikasi Zulkarnaen, Iskandar; Wulandari, Okty Eka; Padulah; Kurnia, Hibarkah
Tropical Public Health Journal Vol. 3 No. 2 (2023): TROPHICO: Tropical Public Health Journal
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/trophico.v3i2.13226

Abstract

At present health is very important to support all activities, both work and sports. Sometimes people ignore it in health checks, especially related to blood health. Early detection is very important in controlling the health of the body in everyday life. One of the factors that people often complain about is high blood pressure, which hinders all activities. High blood pressure is a disease caused by increased blood pressure. This study aims to identify the decision tree for high blood pressure for residents around the Bekasi area with sample data used, namely data on age, weight, blood type, and susceptibility to high blood pressure by distributing questionnaires. This study uses the RapidMiner system and data classification methods through questionnaires as respondents and health service test samples. The findings of this study are 6 people who allow for high blood pressure of various ages. The potential for high blood pressure is detected from the age of over 34 with a total of 3 people from blood groups B and O. The results of this study based on an accuracy rate of 77.78% show that of the 32 people in the high blood questionnaire data, 3 people are aged over 34 and 3 people aged 3 people.