Minimizing the Number of Stunting Prevalence Using the Euclid Algorithm Clustering Approach-Reference-Cited by-同舟云学术

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Minimizing the Number of Stunting Prevalence Using the Euclid Algorithm Clustering Approach

Published:2023-11-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference of Computer Science and Information Technology (ICOSNIKOM)
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Author:

Zarlis Muhammad¹,Oktavia Tanty¹,Buaton Relita²,Ernawan Ferda³,Andrian Kevin⁴

Affiliation:

1. Bina Nusantara University,Information System Management,Department BINUS Graduate Program - Master of Information System Management,Jakarta,Indonesia,11480

2. STMIK Kaputama,Informatics Engineering,Binjai,Indonesia,20714

3. Universiti Malaysia Pahang Al-Sultan Abdullah,Faculty of Computing,Pekan,Malaysia,26600

4. BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University,Department of Information Systems Management,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10364336/10364339/10364489.pdf?arnumber=10364489

Reference26 articles.

1. Effects of stunting, diarrhoeal disease, and parasitic infection during infancy on cognition in late childhood: a follow-up study

2. A life free from hunger Tackling child malnutrition;Lane;London EC1M 4AR: Save the Children,2012

3. Reducing stunting by improving maternal, infant and young child nutrition in regions such as South Asia: evidence, challenges and opportunities

4. Intergenerational Influences on Child Growth and Undernutrition

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