1.Maternal Factors and Stunting among Children Age 0-24 Months in Banten Province Indonesia
Dian Mardhiyah ; Yeyen Desiar Firda Sary ; Tukimin Sansuwito ; Novita Ana Anggraini ; Rahmanita Ambarika ; Iin Aini Isnawati
Malaysian Journal of Medicine and Health Sciences 2020;16(Supp 10, November):55-58
Introduction: Pandeglang regency in Banten provinceis one of the top 100 counties noted for stunting issue. In 2018
stunting prevalence was recorded to be 8,303 children (38.5%). Indonesia was in the fifth rank in the world with
stunting prevalence of 37.2%. This study aimed to determine the correlation between maternal factors and stunting
in children aged 0-24 months in Koroncong Village. Methods: This study used cross sectional method and total
sampling technique. Total samples in this study were mother with children aged 0-24 monthsin Koroncong Village,
Koroncong Sub-County, Pandeglang County which passed inclusion and exclusion requirements as 63 respondents.
Results: Data analyses showed stuntingamong 19 respondents (30%) in the population. The percentage of stunting
was significant among mothers with >2 children and 5.8 times higher than mothers with <2 children. Conclusion:
This finding shows that the percentage of stunting cases is high and requires more aggressive promotion and prevention
2.Impact of Mobile Application Intervention: DETAK in Early Detection and Early Treatment of Acute Coronary Syndrome
Novita Ana Anggraini ; Faridah Mohd Said ; Nur Syazana Umar ; Rahmania Ambarika ; Wardah Fauziah ; Made Mahaguna Putra ; Sri Haryuni
Malaysian Journal of Medicine and Health Sciences 2024;20(No.1):119-125
Introduction: Acute Coronary Syndrome (ACS) is still a major cause of mortality and morbidity globally. One of
the factors that cause a prehospital delay is the delay in early detection and inaccuracy of early treatment of ACS.
The Internet of Things, which is supported by the high use of smartphones with the DETAK application, can be an
opportunity to facilitate ACS education programs so that ACS can be detected early. Method: This study has used a
quantitative research design with a quasi-experimental approach which pretest and posttest, in which both the experimental and control groups participate. The inclusion criteria of this study were age >45 years; obesity; smoker; Respondents with a history of: hypertension/diabetes mellitus/hyperlipidemia/hypercholesterolemia/CVD/families with
cardiovascular disease. 252 respondents who met the inclusion criteria were randomly divided into control (n=126)
and intervention groups (n=126). The intervention group was given education through the DETAK application and
the control group was given leaflet about ACS. Results: The results of the study showed that there was an increased in
early treatment ability was only found in the intervention group (p<.001). Mean differences of the ability of early detection (p<.001) and early treatment (p=.019)between intervention and control groups were both significance. Conclusion: There is potential for DETAK applications to improve the early detection and treatment capabilities of ACS.