Triangular Fuzzy Numbers-based MADM for Selecting Pregnant Mothers at Risk of Stunting

Triangular Fuzzy Numbers-based MADM for Selecting Pregnant Mothers at Risk of Stunting

stunting; pregnant mother; triangular fuzzy numbers; multi-attribute decision making

Stunting is caused by a lack of proper nutrition before and after birth. This research paper identifies and measures
the risk of stunting during pregnancy and make recommendations for ranking pregnant women at risk. These aims
to provide appropriate treatment and action to reduce mothers giving birth to children at risk of stunting. To make
the optimal choice, the selection procedure for pregnant women at risk of giving birth to stunted children considers
a variety of factors, including maternal age, maternal nutrition, arms circumference, hemoglobin, parity, birth
interval, height, baby weight, and body mass index (BMI). Decision-maker’s expectation to reduce uncertainty
and imprecision are represented linguistically by triangular fuzzy numbers. The triangular fuzzy numbers
arithmetic approach is used to determine the selection process output. The ranking is determined from the
alternative with the most parameter values to the alternative with the fewest parameters. Based on the results of
the calculation, it was determined that PM (Pregnant Mother) had the highest score and was ranked first. That
pregnant mother was declared as pregnant mother who had the lowest risk of giving birth to stunted baby

Wiwien Hadikurniawati, Kristoko Dwi Hartomo, Irwan Sembiring, Hindriyanto Dwi Purnomo, Ade Irian

http://jurnal.iaii.or.id

Professional Organization Ikatan Ahli Informatika Indonesia (IAII)/Indonesian Informatics Experts Association

June 2023

Sri Wahyuni

ISSN Media Electronic: 2580-0760

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