Research Article
Obesity Grouping For Single Pregnancy Case Study (Posyandu Puyoh Village)
@INPROCEEDINGS{10.4108/eai.24-10-2018.2280593, author={Evanita Evanita}, title={Obesity Grouping For Single Pregnancy Case Study (Posyandu Puyoh Village)}, proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus}, publisher={EAI}, proceedings_a={ICCSET}, year={2018}, month={11}, keywords={pregnant women obesity fuzzy cluster means}, doi={10.4108/eai.24-10-2018.2280593} }- Evanita Evanita
Year: 2018
Obesity Grouping For Single Pregnancy Case Study (Posyandu Puyoh Village)
ICCSET
EAI
DOI: 10.4108/eai.24-10-2018.2280593
Abstract
Obesity sometimes experienced by most pregnant women who always try to meet the nutritional needs for the fetus unconsciously. Large appetite during pregnancy leads to increased weight of pregnant women. Increased weight gain during pregnancy affects the mother and prospective baby to be born. In this study, obesity grouping for pregnant women in single pregnancy using Fuzzy Cluster Means (FCM). Grouping is based on Body Mass Index (BMI) with sample of 20 pregnant women. BMI data of pregnant women in the form of height, weight, upper arm circle and stomach range. The data are grouped into 4 clusters: fat, obesity I, obesity II, and obesity III. It resulted smaller positive objective values until the 25th iteration. It suggests that the grouping results are excellent and deserve as a reference for grouping the types of obesity in a single pregnancy.
