Analisis Faktor Keteraturan Kunjungan Posyandu Balita Dan Status Gizi Balita Berdasarkan Berat Badan/Umur

Riawati, Danik; Sari, Ajeng Novita

doi:10.36419/jkebin.v10i1.252

Cited by 2 publications

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“…11 As Table 1 shows, the study participants included 60 boys and 64 girls, indicating that there were more females than males. This is in line with research conducted by Riawati et al, 24 which states that more female respondents visited the Integrated Healthcare Center. Table 1 also shows that most participants were 4-5 years old, with 50 children (40.3%) in each group.…”

Section: Discussionsupporting

confidence: 92%

Detection of caries and determination of treatment needs using DentMA teledentistry: A deep learning approach

Abdat,

Herwanda,

Jannah

et al. 2024

Dent. J.

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Background: Teledentistry is considered capable of detecting dental caries remotely without direct contact with patients. Deep learning (DL) algorithms are trained with sufficient datasets to find patterns and models based on learning. By using a DL model, we propose a conceptual framework for the screening of dental caries using smartphones: the DentMA application, a new breakthrough in teledentistry technology. In this study, the DentMA teledentistry application was used for mobile screening for caries. Purpose: This study aimed to analyze the use of DentMA teledentistry to detect dental caries, enamel-dentin caries, and untreated caries, and to determine treatment needs in children. Methods: The participants of this study were 124 children aged 4–6 years. The study was conducted by having the participants’ mothers take intraoral clinical photos of the participants using the DentMA teledentistry application on their smartphones. For the photo to be taken, each participant was directed to sit upright, with the head looking straight ahead and the mouth open. Results: The results showed that DentMA teledentistry was capable of detecting dental, enamel-dentin, and untreated caries in children, and its ability to predict dental treatment needs was good (p < 0.005). Teledentistry screening using a mobile phone can detect not only caries but also a relationship between the complaints and the medical histories of patients with dental caries. Conclusion: The DentMA teledentistry application can detect dental caries in children according to the individuals’ complaints, including enamel-dentin caries and advanced caries, and can help determine treatment needs.

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Section: Discussionsupporting

confidence: 92%

Detection of caries and determination of treatment needs using DentMA teledentistry: A deep learning approach

Abdat,

Herwanda,

Jannah

et al. 2024

Dent. J.

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“…Hasil penelitian Riawati (2019) menemukan 66% anak dengan status gizi buruk dan kurang tidak teratur dalam kunjungan posyandu. Ibu yang tidak melakukan kunjungan posyandu secara teratur sebagai penyebab anak tidak mendapat kapsul vitamin A pada bulan Februari dan Agustus (Aghaji et al, 2019;Riawati & Sari, 2019). Perlu upaya promosi kesehatan untuk meningkatkan pengetahuan, sikap dan tindakan ibu dalam pemberian kapsul vitamin A kepada bayi dan balita (Wu et al, 2019).…”

Section: Pembahasanunclassified

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Azri¹,

Simbolon²

2022

JKM

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Vitamin A is an essential nutrient for humans. Need of Vitamin A must be met from the outside. The coverage of vitamin A capsule administration in Indonesia has not yet reached the national target and WHO recommendations. This study aims to determine the determinants of giving vitamin A capsules to children aged 6-59 months in Indonesia.The study used a cross sectional study design by conducting further analysis of the 2017 IDHS data. The research sample was 5,884 toddlers aged 6-59 months in Indonesia with the criteria for the last child born to women of childbearing age (WUS) aged 15-49 years. The independent variable was family characteristics. , mother and child. The dependent variable is the administration of vitamin A capsules to children under five. The results of the study found that 77.4% of Indonesian toddlers received vitamin A capsules according to the recommendations. Toddlers from families with very poor socioeconomic status have a risk of 1.085 times (OR 1.085;, unaffordable health access has a risk of 1.224 times (OR 1.224;, mothers who do not attend school have a risk of 1.625 times ) and infant of LBW have a risk of 2.519 times (OR 2.519; did not receive vitamin A. Toddlers from very low socioeconomic families, did not access health services, mothers with low education and those born with low birth weight are given priority in giving vitamin A capsules to prevent of deaseases caused by vitamin A deficiency.

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Analisis Faktor Keteraturan Kunjungan Posyandu Balita Dan Status Gizi Balita Berdasarkan Berat Badan/Umur

Cited by 2 publications

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Detection of caries and determination of treatment needs using DentMA teledentistry: A deep learning approach

Detection of caries and determination of treatment needs using DentMA teledentistry: A deep learning approach

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