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All Journal JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Komunikasi : Jurnal Komunikasi Moneter : Jurnal Akuntansi dan Keuangan Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INOVTEK Polbeng - Seri Informatika Techno Nusa Mandiri : Journal of Computing and Information Technology Perspektif Pendidikan dan Keguruan Jurnal Teknologi Informatika dan Komputer Jurnal Sistem Informasi Abdi Masya Abditeknika - Jurnal Pengabdian Kepada Masyarakat Akasia: Artikel Ilmiah Sistem Informasi Akuntansi JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Abdimas Ekonomi dan Bisnis IMTechno: Journal of Industrial Management and Technology Jurnal Abdimas Komunikasi dan Bahasa Paradigma Journal of Accounting Information System
Mari Rahmawati
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : Paradigma

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Phyton-Based Machine Learning Algorithm To Predict Obesity Risk Factors In Adult Populations Rahmawati, Mari; Lestari, Ade Fitria; Hardani, Sri
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3242

Abstract

Obesity is a serious health problem because it can lead to a variety of diseases. Adults are prone to obesity due to several factors such as age, physical activity, weight, diet, gender, lifestyle and so on. Machine Learning as one of the methods for predicting and classifying factors of obesity especially in the adult population. In machine learning, there are various types of algorithms that can be used to classify data. In this study, using the K-Nearest Neighbor, Decision Tree and Naïve Bayes algorithms, 2111 datasets were used and processed using the Phyton programming language. The results were obtained from the comparison of the three algoritms with the highest accuracy of 93.6%, the Decision Trees with 79.6% and the Naïv Bayes with 60%.
Phyton-Based Machine Learning Algorithm To Predict Obesity Risk Factors In Adult Populations Lestari, Ade Fitria; Hardani, Sri; Rahmawati, Mari
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3242

Abstract

Obesity is a serious health problem because it can lead to a variety of diseases. Adults are prone to obesity due to several factors such as age, physical activity, weight, diet, gender, lifestyle and so on. Machine Learning as one of the methods for predicting and classifying factors of obesity especially in the adult population. In machine learning, there are various types of algorithms that can be used to classify data. In this study, using the K-Nearest Neighbor, Decision Tree and Naïve Bayes algorithms, 2111 datasets were used and processed using the Phyton programming language. The results were obtained from the comparison of the three algoritms with the highest accuracy of 93.6%, the Decision Trees with 79.6% and the Naïv Bayes with 60%.
Co-Authors Ade Fitria Lestari Adi Supriyatna Amelia, Winda Amin Kusniawati Annissa Martriani Arief Setya Budi Ayu Manik Martawiharjo Budi, Arief Setya Christien, Dahlia Cindya Windari Denny Erica Etika Sabariah Evana Intan Kumalasari Fajar Sidik Hardani, Sri Haryanto Haryanto Haryanto Haryanto Indarti, Wahyu Irwin Ananta Vidada Khusnul Khotimah Khuzaipi Supena Maya May Syarah Melan Susanti Melan Susanti Musthafa Kamil Nurachim, Rusma Insan Rangga Kori Lesmana Rusma Insan Nurachim Rusma Insan Nurachim Saridawati Saridawati, Saridawati Suminten, Suminten Suryani, Rani Syarif Hidayat HR Teni Agustina Tukan, Mechtildis Berliana Wahyu Indrarti Wangsit Supeno Wangsit Supeno, Wangsit Yuma Yaumaidzinnaimah