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All Journal Media Kesehatan Masyarakat Indonesia Berita Kedokteran Masyarakat
Digna Niken Purwaningrum
Department Of Biostatistics, Epidemiology And Population Health, Faculty Of Medicine, Public Health And Nursing, Universitas Gadjah Mada, Yogyakarta
Nursing Public Health

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Evaluation of Anthropometric Data Quality for Children from Electronic-Based Nutrition Surveillance: A Case Study in Magelang Regency, Central Java, Indonesia Slamet Riyanto; Digna Niken Purwaningrum; Lutfan Lazuardi
Media Kesehatan Masyarakat Indonesia Vol. 21 No. 4: DECEMBER 2025
Publisher : Faculty of Public Health, Hasanuddin University, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30597/mkmi.v21i4.43510

Abstract

Data quality regarding the nutritional status of children under five is crucial for developing strategies to address nutritional issues. This study aims to develop indicators and assess the quality of anthropometric data from community-based nutrition surveillance using the EPPGBM application in Magelang Regency. The research employed an observational design with a quantitative approach. Data quality indicators were defined based on expert consensus using the Delphi method. These indicators were also used to construct an anthropometric data quality index (IKDA). The WPS Office spreadsheet was utilized to assess data quality and perform IKDA calculations. Nine data quality indicators were identified, categorized into four domains: representation, completeness, accuracy, and external consistency. Evaluation of the EPPGBM data revealed that indicators for representation and completeness were categorized as good quality. In contrast, within the accuracy domain, only the z-score accuracy indicator met the “good” standard, while the digit preference indicator showed poor quality.  Specifically, digit preference accounted for 24.2% of weight measurements and 62.8% of height measurements, with clustering around digits 0 and 5. In the external consistency domain, the stunting prevalence from the EPPGBM results was lower than the 2022 SSGI results. The IKDA score for the data was 85.8. Overall, the evaluation identified that the EPPGBM data quality in Magelang Regency demonstrated strong representation and completeness but exhibited limitations in accuracy and external consistency. To improve data accuracy, relevant stakeholders should implement targeted interventions, including capacity-building through training of cadres, standardization of measurement procedures and instruments, and reinforcement of supervisory mechanisms.
Underprivileged families and the incidence of stunted at birth in Sleman Regency based on the 2018-2019 Sleman Health and Demographic Surveillance System: a cohort study Fifit Khistiyarini; Siti Helmyati; Digna Niken Purwaningrum
Berita Kedokteran Masyarakat Vol 40 No 12 (2024)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v40i12.18088

Abstract

Purpose: The incidence of stunting is a problem that needs to be resolved immediately. Stunting in children contributes to causing significant state losses, because the state must bear the costs of degenerative diseases as a result of the long-term impact of stunting. The family's economic status plays a role in the nutritional status of newborns. The purpose of this study was to determine the risk of stunted babies being born in underprivileged families. Methods: This study utilizes data from the 2019 Sleman Health Demographic Surveillance System (HDSS), employing a cohort method. The data used in this study went through the data-cleaning stage. The analysis carried out consisted of three things: descriptive, bivariate, and multivariable analysis. The number of samples used was 168. Results: The prevalence of stunting was 28.6%, and the prevalence of underprivileged families was 31.5%. The analysis revealed that babies born to disadvantaged families were 1.72 times more likely to be born stunted compared to babies born to prosperous families, as indicated by the multivariable analysis. Conclusion: The birth weight of babies is a significant factor influencing the incidence of stunted babies. Based on multivariable modeling, babies born to underprivileged families have a higher risk of being stunted, but this is not statistically significant. The same model shows that other variables that increase the risk of babies being born stunted are low birth weight (LBW).
Co-Authors Fifit Khistiyarini Lutfan Lazuardi Siti Helmyati Slamet Riyanto