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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH JURNAL MAHAJANA INFORMASI Jurnal Informasi dan Teknologi Bulletin of Computer Science Research Instal : Jurnal Komputer Jurnal Dehasen Untuk Negeri Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal Global Technology Computer Jurnal Media Teknik Elektro dan Komputer International Journal of Management, Economic and Accounting
Hardiansyah Putra
Universitas Pembangunan Panca Budi, Medan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Public Health Social Sciences Other

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Sistem Pakar Deteksi Potensi Obesitas Dilingkungan Universitas Islam Negeri Sumatera Utara Menggunakan NaiVe Bayes Clasifier Putra, Hardiansyah; Harahap, Inun Suryani
Jurnal Media Teknik Elektro dan Komputer Vol 1 No 1 (2024): Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

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Abstract

This study aims to classify the potential for obesity among students in the environment of UIN SU Medan using the Naïve Bayes Classification method. The prevalence of obesity has become a serious problem in various countries, with significant contributions from critical periods such as prenatal, infancy, adiposity rebound, and adolescence. The use of technology has become widespread in various layers of society, making knowledge and preventive efforts crucial in addressing obesity. Lifestyle changes due to increased time-consuming activities can affect the health of the academic community. Therefore, the application of technology is essential in addressing obesity from adolescence to adulthood. The Naïve Bayes Classification method has been found to be suitable for classifying the likelihood of obesity among the academic community in the UIN SU Medan environment. However, it is important to optimize the training and testing classification process by storing the results in memory (database) to enhance the classification process.
Co-Authors Abdul Khaliq Aldy Amelia, Ocdy Anggi Ihwan Bagohwi Siregar Dian Yulis Wulandari Harahap, Inun Suryani Hendrawan, Jodi Mohammad Yusup Mr Sulardi Muhammad Bahij Albaqy Muhammad Bahij Albaqy Nazrica, Sherly Ani Ocdy Amelia Sulardi Sulardi . Sumijan Yusup, Mohammad