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SISTEM PAKAR DIAGNOSA STUNTING PADA ANAK KEKURANGAN GIZI MENGGUNAKAN METODE CETAINTY FACTOR
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
MILEN, FEBRIANI FATIKAS
Fitriani, Yessy
Apriyadhi, Firmansyah
Subject
Teknik Informatika 
Datestamp
2023-05-31 04:41:14 
Abstract :
Stunting is a chronic malnutrition problem caused by insufficient nutritional intake for a long time due to the provision of food that does not match nutritional needs. Stunting is formed by Growth Faltering and Inadequate Catch Up Growth which reflects the inability to achieve optimal growth, this reveals that groups of toddlers born with normal weight can experience stunting. Indonesia's child stunting rate is the second highest in the Southeast Asian region after Laos. However, according to the Indonesian Toddler Nutrition Status Monitoring (SSGBI) the achievement in Indonesia in 2021 is 24.4% and in 2022 it will be 21.6%, in Lampung Province itself the decline in stunting has been quite good, from 18.8% in 2021 to 15.8% in 2022 whereas, in Waykanan itself it is still recorded that 20.7% of children are identified as stunting. A web-based application has been developed for Stunting diagnosis requiring appropriate decision making, therefore the Certainty Factor method is needed to describe the level of expert confidence in the problem being faced. In this study, a stunting diagnosis expert system was created that could support medical personnel in early detection of stunting and provide directions to users to avoid stunting 
Institution Info

Institut Teknologi Perusahaan Listrik Negara