The Effect of Chronic Energy on Increasing the Effectivity of Pregnant Women’s Nutrition Using Decision Support Systems (DSS) with Analytical Hierarcy Processs (AHP)

The Indonesian Ministry of Health in 1999 proclaimed LILA as a measure of the upper arm circumference used by pregnant women in childbearing age as a chronic energy deficiency indicator (SEZ), with a LILA limit of <23.5 the risk of SEZ. Chronic energy deficiency can cause low birth weight babies (LBW), so pregnant women will be at risk of experiencing difficulties and pain during the birth process. The lack of technology that can quickly determine how pregnant women experience Chronic Energy Deficiency has an impact on increasing the mortality rate in pregnant women and the conceived fetus. Some variables of effectiveness of nutritional intake of pregnant women such as diet, exercise, vitamins C, D, and E are the nutrients needed during pregnancy. There is no proper formulation to know the nutritional needs of pregnant women and nutritional quality factors are different, so nutrition experts desperately need a petrified system to analyze quickly, accurately, easily, effectively and efficiently in determining the best decisions from various alternatives for pregnant women who lack symptoms of energy Chronic (KEK) by combining analytical data and models on computerized systems using multicriteria Decision Support System (DSS) method, namely Analytical Hierarchy Process (AHP). This study designed the DSS using AHP method by combining Expert Choice in it. DSS research is designed not to make decisions, but as a tool that helps to support decision making.