AILY YUNI ARDIYANTI, 101614153033 (2018) PENERAPAN METODE FUZZY GEOGRAPHICALLY WEIGHTED CLUSTERING BERDASARKAN FAKTOR RISIKO GIZI BURUK PADA BALITA DI KABUPATEN LAMONGAN TAHUN 2016. Thesis thesis, Fakultas Kesehatan Masyarakat.

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Abstract

The malnutrition problem on under-five-year-old children is still a major problem in Lamongan. Some various efforts have been done by the government to reduce the number of malnutrition toddlers so that the percentage of malnutrition continues to decline, it is necessary analysis by Fuzzy Geographically Weighted Clustering (FGWC) method that takes into account the population and distance in the calculation. The objective of the study is to analyze the pattern of regional grouping and the characteristics based on malnutrition risk factors using FGWC and Fuzzy C-Means (FCM) methods and then compare them to obtain the best method to be applied to the situation above The results showed that some clusters with malnutrition problem in the infants. Cluster 1 has the higher risk factor than cluster 2 so it is feared that this same malnutrition cases will be found in the areas which belong to cluster 1. Family welfare, the number of active mothers who join the “POSYANDU’, BBLR, basic immunization completeness and vitamin A provision are some malnutrition risk factor owned by cluster 1. The sub-districts included in the cluster 1 are Sambeng, Sukorame, Pucuk, Sukodadi, Sarirejo, Laren and Solokuro sub-districts The conclusion of this research is FGWC method can be used for malnutrition risk factor to under five-year-old children. The higher risk factor was found in cluster 1 ie Sukorame, Sambeng, Pucuk, Sukodadi, Sarirejo, Laren and Solokuro subdistricts

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