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Improving cadre knowledge in stunting prevention through android-based application

Bibliographic Data

ID15799782
AuthorsNovi Indrayati (Sekolah Tinggi Ilmu Kesehatan Kendal, corresponding author), Siti Musyarofah (0000-0002-3175-2235, Sekolah Tinggi Ilmu Kesehatan Kendal, corresponding author), P H Livana (Sekolah Tinggi Ilmu Kesehatan Kendal), Setianingsih Setianingsih (Sekolah Tinggi Ilmu Kesehatan Kendal)
Year2022
Pages761-767
Publication date2022-08-30
Open AccessYes
TypeARTICLE
VenueInternational Journal of Health Sciences (JOURNAL)
Journal identifiersISSN: 2550-696X • E-ISSN: 2550-6978
PublisherUniversidad Tecnica de Manabi (PUBLISHER • EC)
DOI10.53730/ijhs.v6ns9.12326
OpenAlexW4293686367
LanguageEN
References cited2

Stunting in children is one of the most significant barriers to human development, globally affecting approximately 162 million children under the age of 5 years. Stunting is one of the problems that the Indonesian government is currently focusing on, even during the Covid-19 pandemic. Government efforts to prevent stunting continue to be developed through the ministry of health, one of which is by optimizing public participation and awareness to prevent stunting at the lowest level, namely the village. The purpose of the study was to analyze the effect of cadre training on increasing cadre knowledge in stunting prevention through an android-based application. This research is a quantitative type with a quasi-experimental design using a pre post test without a control group. The sample of this research is health cadres in the village of Banyubiru and Ambarawa sub-districts, Semarang district, Central Java with a total sample of 120 respondents using purposive sampling technique. The research instrument used a questionnaire. Bivariate data analysis using Paired T-test. There is a significant increase in the level of knowledge of cadres between before and after being given training with a P value of 0.000

Accidental sampling · Bivariate analysis · Christian ministry · Developing country · Economic growth · Environmental health · Government (linguistics · Indonesian · Indonesian government · Java · Nonprobability sampling · Political science · Population · Socioeconomics · Sociology · Statistics · Computer Science · COVID-19 Prevention and Impact · Educational Methods and Media Use · Mathematics · Medicine · Psychology · Public Health and Nutrition

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