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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Sanitas: Journal of Health, Medical, and Psychological Studie
Yeni Setiani
Unknown Affiliation
Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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Visualisasi Data Malnutrisi Anak Di Asia Menggunakan Looker Studio Serta Analisis Data Dengan Metode ANOVA Yeni Setiani; Nabila Rachmah; Indra Purnama
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2023): November : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i3.701

Abstract

Child malnutrition is a serious problem involving complex factors in various countries. The level of the economy in a country is one of the factors that influences the occurrence of this problem. Using data obtained from the data UNICEF site on Child Malnutrition, this study involved processing the data to create a data visualization in the form of a dashboard. This dashboard is able to provide information on the prevalence of child malnutrition and its geographic distribution patterns in the Asian region by utilizing the Looker Studio platform. In addition, this study was also conducted to analyze the effect of state income classification on the percentage of child malnutrition that occurs. The use of the ANOVA analysis method in this study is the basis for answering research questions related to analysis. The stages carried out in this study were Data Collection, Data Preprocessing, data analysis using the ANOVA method, and data visualization. The result of this study is a data visualization in the form of an informative dashboard, as well as the results of the analysis showing that there is a significant effect of the classification of state income on the percentage of child malnutrition in that country. This study provides important insights into the problem of child malnutrition in Asia in a visual form and provides results of statistical significance, indicating that there is a significant relationship or influence between the classification of national income and the percentage of child malnutrition that occurs in that country, not just a coincidence.
Gambaran Dampak Picky Eater pada Anak Usia Remaja Yeni Setiani; Indra Tri Astuti; Herry Susanto
Journal of Health, Medical, and Psychological Studies Vol 1 No 3 (2026): April: Sanitas: Journal of Health, Medical, and Psychological Studies
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/dgv3wv31

Abstract

Adolescence is a developmental phase characterized by significant physical, psychological, and social changes, including the formation of eating behavior. One phenomenon that commonly emerges is picky eating, defined as a tendency to select or reject certain types of food. This behavior may persist into adolescence and potentially affects psychological, physiological, and cognitive conditions. This study aims to describe the impact of picky eating among adolescents at SMA Kesatrian 1 Semarang. This study employed a survey design with a sample of 156 adolescents selected through purposive sampling. Data were collected using the Picky Eater Scale (PES), the DASS-42, BMI and hemoglobin measurements, and the Cognitive Assessment Questionnaire (CAQ). Data analysis was conducted using univariate analysis. He findings showed that 82 respondents (52.6%) were categorized as picky eaters. Psychological impacts were most commonly found in the severe category (25.6%). Physiological impacts were indicated by mild anemia in 45 respondents (28.8%) and below-normal BMI in 55 respondents (35.5%). The most frequent cognitive impact was in the low category, recorded in 59 respondents (37.8%). Picky eating affects the psychological, physiological, and cognitive conditions of adolescents. The psychological impact is mostly categorized as severe, the physiological impact is reflected in mild anemia and below-normal BMI, and the greatest impact appears in the cognitive aspect (37.8%), with most respondents classified in the low category.
Co-Authors Herry Susanto Indra Purnama Nabila Rachmah