Optimization Fuzzy Geographically Weighted Clustering with
Gravitational Search Algorithm for Factors Analysis
Associated with Stunting

Optimization Fuzzy Geographically Weighted Clustering with
Gravitational Search Algorithm for Factors Analysis
Associated with Stunting

fuzzy geographically weighted clustering (FGWC); gravitational search algorithm (GSA); FGWC-GSA; stunting

Stunting is a significant threat to the quality of human resources in Indonesia because stunting does not only involve physical
growth disorders but can also cause children to be vulnerable to disease and experience disorders of brain development and
intelligence. Many factors cause stunting, not only malnutrition in pregnant women and toddlers. Grouping can be done to
make it easier to see the characteristics of the factors causing stunting in Indonesia. The grouping is done based on the
similarity of the characteristics of the factors causing stunting in each province. This study used Fuzzy Geographically
Weighted Clustering (FGWC) with Gravitational Search Algorithm (GSA) to group and assess the best cluster using the
Partition Coefficient validity index, Classification Entropy, Separation Index, Xie & Beni's Index, and IFV Index. Furthermore,
a difference test was conducted to determine the dominant factor causing stunting in the formed cluster. The results showed
that the FGWC-GSA gave the best clustering results on the fuzziness value of 2 with the number of clusters 2. Cluster 1 consisted
of 16 provinces, and cluster 2 consisted of 18 provinces. Based on the T-test, the variables of infants who received exclusive
breastfeeding had significant differences between clusters. Therefore, cluster 2 is a cluster that has dominant problems related
to exclusive breastfeeding.

Isran K. Hasan1
, Nurwan2
, Nur Falaq3
, Muhammad Rezky Friesta Payu4

Universitas Negeri Gorontalo

03-02-2023

Fajar bagus W

PDF

Indonesia

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