Nia Novita Wirawan, Nia Novita
Program Studi Ilmu Gizi Fakultas Kedokteran Universitas Brawijaya

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Journal : Amerta Nutrition

Tinjauan Pustaka Sistematis Analisis Akurasi Aplikasi Digital dalam Perhitungan dan Penilaian Status Gizi Anak di Bawah Lima Tahun: A Systematic Review of Digital Applications Accuracy for Calculating and Assessing Nutritional Status of Children Under Five Years Kurniawan, Dedik; Wirawan, Nia Novita; Tolle, Herman
Amerta Nutrition Vol. 9 No. 3 (2025): AMERTA NUTRITION (Bilingual Edition)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v9i3.2025.545-556

Abstract

Background: The increasing use of digital applications to analyze nutritional status of children under five years offers significant progress in public health. However, the accuracy and precision of these tools continue to be a concern due to variations in data quality and user proficiency. Objectives: This study aimed to systematically evaluate the accuracy and precision of digital applications in calculating and assessing nutritional status of children under five years. Methods: A comprehensive systematic review was conducted by searching PubMed, ScienceDirect, and Google Scholar databases for relevant studies published between 2010 and 2024. The study followed the PRISMA 2020 guidelines for article selection. Risk of bias was assessed using QUADAS-2 for diagnostic studies, then data were analyzed descriptively through a narrative synthesis of results on accuracy, data input methods, and user proficiency. Discussions: The results showed that out of 925 initially identified articles, 13 met the inclusion criteria and were further analyzed. Advanced algorithms, particularly K-Nearest Neighbor (K-NN) and other machine learning models had high accuracy when supported by quality data and adequate user training. Moreover, real-time IoT-based tools showed high precision in nutritional assessments. Challenges remain in ensuring accurate data entry and algorithm updates to meet the needs of diverse populations. Conclusions: Digital applications present promising accuracy and precision in evaluating nutritional status of children under five. However, continuous improvement in data quality and user training is essential for the optimal implementation in public health interventions.
Analisis Komparatif Prevalence of Undernourishment dan Kualitas Pangan pada Provinsi di Indonesia Sebelum dan Selama COVID-19 (2019–2021): Comparative Analysis of Prevalence of Undernourishment and Dietary Quality in Indonesian Provinces Before and During COVID-19 (2019-2021) Sutrisno, Rahayu; Wirawan, Nia Novita; Rahmawati, Widya; Fatmawati, Irka Dwi
Amerta Nutrition Vol. 9 No. 1SP (2025): AMERTA NUTRITION SUPPLEMENTARY EDITION Special 5th Amerta Nutrition Conferenc
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/amnt.v9i1SP.2025.94-102

Abstract

Background: The COVID-19 pandemic disrupted global food systems, including those in Indonesia. However, evidence at the provincial level remains limited, despite the importance of regional variation in shaping vulnerability and recovery capacity. Objectives: This study examined changes in the Prevalence of Undernourishment (PoU), dietary quality assessed through Desirable Dietary Pattern (DDP) scores, energy and protein availability and consumption, and provincial recovery capacity using the Recovery Gap Index (RGI) before (2019) and during the pandemic (2020-2021). Methods: A quantitative study was conducted using secondary data from 34 provinces obtained from the National Food Agency for the period 2019-2021. Consumption variables were analyzed using RM-ANOVA, and PoU and availability indicators were tested using the Friedman test with Wilcoxon post-hoc comparisons. RGI was calculated as the difference between 2021 and 2019 values. Significance was set at p-value<0.05. Results: PoU increased significantly across years (p-value<0.001). DDP availability score differed between years (p-value=0.009), although the difference between 2020 and 2021 became non-significant after correction. DDP consumption score, availability of energy and protein, and protein intake remained stable (p-value>0.05). Energy consumption increased significantly from 2020 to 2021 (+29.7 kcal/capita/day; p-value=0.010). RGI showed that 32% to 74% of provinces experienced deterioration relative to pre-pandemic levels, especially for PoU. Conclusions: The COVID-19 pandemic increased PoU indicators and reduced dietary quality. Although energy consumption improved, recovery was uneven across provinces. These findings indicate the need for policies to strengthen PoU and dietary quality tailored to provincial contexts to reduce interregional disparities.