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ISSN : 2581-5148

Title:
MANAGEMENT OF MATERNAL HEALTH DATA AND STIMULATION OF EARLY DETECTION AND INTERVENTION GROWING WITH AN ANDROID-BASED INFORMATION SYSTEM

Authors:
Ainin Sadida , Aris Puji Widodo and Farid Agushybana

Abstract:
Management of maternal and child health data that uses manual systems will cause problems in recording the results of inspection and reporting data. Data differences occur if the data recapitulation is done manually. If data analysis comes from invalid and reliable data, the program may not be on target. It is necessary to develop maternal health information systems and stimulation of detection and early intervention of child development based on Android with the aim of getting data on child growth and facilitating access to information for parents. Qualitative research methods with respondents 4 health office data managers, 3 health center locus data managers, 3 locus midwives and 30 parents of children from 3 stunting intervention villages with the FAST method showed that the growth information system is feasible to develop. Quantitative stages with respondents 4 health office data managers, 3 health center data locus managers, 3 midwives. Quantitative data evaluation using the usability method using the PSSUQ measurement component overalls 77.50%, so that the child's growth and development information system falls into the "Eligible" category to be developed because the results of the trials show satisfaction to the user.

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