Lilik Anifah, Haryanto, I.G.P. Asto Buditjahjanto, R. R. Hapsari Peni Agustin Tjahyaningtijas, Lusia Rakhmawati
Obesity is a health problem in the twenty-first century, and can trigger several dangerous diseases. Several studies have been conducted in predicting obesity rates. This study aims to propose an obesity prediction approach using a Self Organizing Map by considering habit parameters and clinical variables as input from the system. The variables considered are gender, age, height, weight, family history with overweight, FAVC, FCVC, NCP, CAEC, whether smoking or not, CH2O, SCC, FAF, TUE, CALC, and transportation information used every day. In this study, the level of obesity was divided into 7 cluster levels, namely insufficient weight, normal weight, overweight level I, overweight level II, obesity type I, obesity type II, and obesity type III. The stages of this research are data preprocessing, initialization process, learning process, and testing process. The learning process is carried out using a Self Organizing Map. System input consists of 16 parameters with 1 obesity level system output. The learning and testing process has been carried out and the results of the first testing process were 81.4%, the precision value was 0.825, while the recall value was 0.803. The second testing process obtained a system accuracy value of 74.3%, the precision value was 0.753, while the recall value was 0.743. However, this system has been able to classify according to the cluster well. The contribution of this research is that it can be a decision support system in predicting obesity levels, and based on the variables considered users can improve their living habits to avoid obesity and live healthier in the future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Kampus Unesa Ketintang Surabaya, Surabaya, Indonesia; Department of Electrical Engineering, Faculty of Engineering, Universitas Trunojoyo Madura, Kampus Trunojoyo Madura, Telang Bangkalan Madura, Bangkalan, Indonesia
