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Renaldi, Reno
Universitas Hang Tuah Pekanbaru
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Journal : building of informatics technology and science

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Integrasi K-Modes dalam Analisis Data Gizi Balita untuk Model Klasifikasi Risiko Stunting Desyanti, Desyanti; Renaldi, Reno; Mesran, Mesran
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.8323

Abstract

The nutritional status of toddlers is an important indicator in assessing child growth and development and is closely related to the risk of stunting. However, the process of recording and classifying nutritional status at the Bukit Kapur Community Health Center is still done manually, making it prone to analysis delays and data processing errors. This study aims to implement the K-Modes algorithm in classifying toddler nutritional status based on categorical data, such as age, weight, and height. Toddler data were collected from the Bukit Kapur Community Health Center and underwent pre-processing, data transformation, and the application of the K-Modes algorithm to determine toddler nutritional groups. The results showed that the K-Modes algorithm was able to group toddler data into three main categories: well-nourished, at-risk of overnutrition, and overnourished. The majority of toddlers fell into the well-nourished category (98 toddlers), while only a small proportion fell into the at-risk of overnutrition and overnourished categories (1 toddler each). These findings indicate that the K-Modes method is effective in classifying toddler nutritional status based on categorical data and can assist health workers in monitoring child growth and preventing stunting.
Co-Authors Abdurrahman Hamid Agus Alamsyah Ahmad Hanafi Ahmad Hanafi Hanafi Ahmad Satria Efendi, Ahmad Satria Aldiga Rienarti Abidin Alhidayati, Alhidayati Anggraini, Citra Widia Anusirwan Arsyad, Nasrullah Ayu Zahra Benny Yulianto Beny Yulianto Berliana Ayu Budi Hartono Budi Hartono Dahlia Eka Okta Dami Yanthi Darus, Yena BT Desyanti Desyanti Devis, Yesica Egawati, Egawati Ela Safitri Safitri Elisawati, Elisawati Ema Yurida Faras Yuniba Anggraini Fitri Verawati Gumayesty, Yeyen Guzlan Hijrul Febrizal Hadi Asnal, Hadi Hadian Ariayani Hafizah Maulia Hamid, Abdurrahman Haryanto Haryanto Hasnor Khotimah Hayana Hayana Herianto - Herlina Susmaneli Herniwanti Herniwanti Hetty Ismainar Igha Viorela Br Karo Sekali Ilma Ramadhani Putri Intan Sari Intan Sari Irwan Muryanto Islamiyah Islamiyah Ismunandar Jasrida Jasrida Jeanny Susana Magretta Jenni Rafflesia Jepisah, Doni Kamali Zaman Kiswanto Kiswanto Kurniawan, Bambang Kursani, Elmia Leonita, Emy Lita Lusiana, Novita makomulamin amin Marisa Sandika Marlina, Hastuti Melnia Anisya Mentari, Tyas Asih Mesran, Mesran Mitra Mitra Mitra Mitra Mitrin, Abdullah Mohd Rinaldi Amartha Muhaimin, Abdi Muhamad Dedi Widodo Muhammad Dahlan Muhammad Luthfi Hamzah Muhardi Muhardi Mulyani, Indah Sri Nawi, Syahruddin NILA PUSPITA SARI Nizma Khairunissa Novendra, Rizki Novita Rany Novita, Yuliana Nurfarahin Nurfarahin Nurhadi Oktavia Dewi Oktavia Dewi, Oktavia Oppi Selvia Andaresta Priwahyuni, Yuyun Priwahyuni Rahayu, Endang Purnawati Rahma, Aditya Nur Rahmaddeni Rahmaddeni Rahwana T Raviola Raviola Refni Wahyuni Reni Novita Rhomadhon Maghfiroh Rienarti Abidin, Aldiga Riri Julianti Rizer Fahlepi Rometdo Muzawi Rosalina, Linda Rustam, Musfardi Saputra, Haris Tri Satria Efendi, Ahmad Selvi Damaiyanti Sherly Vermita Warlenda Sinaga, Rotua Novita Sri Desfita, Sri Sri Wardani Suci Badriyana Sulistina Sulistina Sumengen Sutomo Syafrani Syafrani SYAFRANI, SYAFRANI Syukaisih Syukaisih, Syukaisih Tasya Mayangsari Theisya Kumala Kumala warlenda, sherly vermita Welly Sando Widagdo, Fatoni Widodo, M. Dedi Widodo, Muhammad Dedi Wisye Sita Agtria Yansen Paul Yanthi, Dami Yanwir Kamal Yessi Harnani Yogi Yunefri, Yogi Yuda Irawan Yuliana Yuliana Yulisman, Yulisman Yunita, Jasrida Zainal Abidin Zainal Abidin Zainal Abidin Zul Akbar Zupri Henra Hartomi