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MEASURING THE USER EXPERIENCE OF THE SATUSEHAT APPLICATION WITH THE HEART METRICS METHOD APPROACH Antonius Alijoyo, Franciskus; Suhaerudin, Suhaerudin; Meilia, Safina
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol. 3 No. 4 (2024): March
Publisher : Penerbit Lafadz Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v3i4.1854

Abstract

Satu Sehat application is a transformation of the Peduli Lindungi application as an important innovation step in an effort to utilise information technology to improve the quality of health services. This study aims to measure user satisfaction or user experience of the SatuSehat application using the HEARTMetric method so as to analyse the application from the point of view of user experience satisfaction which includes Happines, Engagment, Adoption, Retention and Task Success. Data collection was carried out by simple random sampling with respondents used in this research sampling test were 140 respondents. After the data is collected, the validity and reliability of the statement items are tested and analysed using Importance Performance Analysis. Based on the results of the analysis, the main priority that needs to be done is to increase and improve the quality of the Happiness variable. OneHealth application developers need to develop features that make it easier for users, innovate features and socialise the use of application features.
Linear Regression Analysis To Measure The Correlation Between Poverty Rate And Stunting Rate Suhaerudin, Suhaerudin; Ade Sumardi; Christina juliane
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.13007

Abstract

Children's stunting or growth disorders are becoming major global health issues, particularly in impoverished nations. It is characterized by short height for children and affects future economic potential, health, and cognitive development over the long run. Stunting has a detrimental effect on cognitive growth, schooling, and future economic production in addition to being a sign of dietary deficiencies. This study aims to analyze the relationship between poverty levels and stunting rates. Using secondary data from health surveys and population censuses, this study analyzed the rate of stunting in children aged 0-5 years and correlated it with poverty indicators at the household and community levels. Correlation analysis methods were used to assess the relationship between these variables, while controlling for confounding variables such as parental education, access to health services, and nutrition. The multiple linear regression test results prove that the incidence of stunting is influenced by the poor population variable by 34.1%, so there are other factors that influence it by 64.9%. The results of the analysis show that there is a significant positive correlation between the poverty rate and the prevalence of stunting. This finding underscores the importance of cooperation between the health and economic sectors in efforts to reduce stunting and poverty.