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International Journal of Public Health and Clinical Sciences (IJPHCS)
Open Access e-journal ISSN : 2289-7577

RISK FACTORS CLUSTERING OF MALNUTRITION CASE BASED ON THE UTILIZATION OF TODDLER HEALTH SERVICE AT LAMONGAN REGENCY IN 2016

Aily Yuni Ardiyanti, Hari Basuki Notobroto, Rachmah Indawati

Abstract


ABSTRACT 

Background: Nutrition is still a major problem in Indonesia. Various efforts had been made by the government to reduce the number of children which affected by malnutrition, especially in the field of toddler health services. Based on the PSG’s results in 2014-2016, the percentage of malnutrition status in East Java for infants aged 0-59 months in 2014 was 29%.

Material and Methods: The study purpose was to analyze the pattern of regional and characteristics grouping based on malnutrition risk factors, especially on the utilization factor of public health service in Lamongan Regency in 2016. This study used secondary data from Lamongan District Health Office Profile Data in 2016. The data ware analyzed by using K-Means Clustering method to know the pattern of regional grouping in Lamongan regency. The variables in this research were: percentage of toddler health service, percentage of active integrated service post, complete basic immunization coverage, and coverage of toddler who get vitamin A capsule twice a year.

Rresults: From the results of clustering analysis, it obtained 3 clusters grouping area in Lamongan regency. Characteristics of 3 clusters that are formed include: cluster 1 there are 7 districts with the overall utilization level of health services is still very low. Cluster 2 there are 3 districts showing the utilization of health service under five is still low and cluster 3 there are 17 districts with low immunization coverage

Conclusion: Each cluster had the characteristics of different risk factors on the malnutrition cases. Promotional and prevention efforts are needed, especially by health workers, on factors that affect the malnutrition cases in Lamongan regency so it is expected to suppress the malnutrition cases.

Keywords: k-means clustering, risk factors, malnutrition, toddler health services

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