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dc.contributor.authorMilkhatun, Milkhatun
dc.contributor.authorAstuti, Zulmah
dc.contributor.authorWahyuni, Tri
dc.contributor.authorRizal, Alfi Ari Fahrur
dc.date.accessioned2023-04-10T00:50:44Z
dc.date.available2023-04-10T00:50:44Z
dc.date.issued2022-10-25
dc.identifier.urihttps://dspace.umkt.ac.id//handle/463.2017/3145
dc.description.abstractBackground: The current decline in maternal mortality is still an indicator of the success of achieving the SDGs in all countries, including Indonesia. Efforts to reduce maternal mortality in the current COVID-19 pandemic situation are a challenge due to restrictions on activities outside the home for everyone. This also has an impact on the health of pregnant women who are also unable to check their condition directly to health services. Based on this, it is necessary to develop an application that can help mothers to find out the risk factors in pregnancy that they may be experiencing at this time and which can provide initial information about what the mother should do if she experiences it so that the mother can decide to immediately be able to check her condition. This research method has been a Research & Development research using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) stages to design an application called the AFRIKOT Application (Analisis Faktor Resiko Ibu Rekomendasi Terpadu/Integrated Recommendation Maternal Risk Factor Analysis). This web-based application contains data that can be filled in by the mother regarding previous health history and data during the current pregnancy. Based on these data, this application provides information to mothers about the degree of risk factors that mothers currently have and also displays recommendations regarding the results of the analysis of these risk factors. The results of the research are the application that is formed consists of wife and husband data, pregnant women's health data, previous pregnancy history, current pregnancy history, pregnancy examination data and data display Interpretation or results include the current mother's risk degree and recommendations, Mass Index Value Current maternal body BMI, as well as data on estimated time of delivery.id_ID
dc.language.isoenid_ID
dc.publisherUniversitas Gadjah Madaid_ID
dc.relation.ispartofseries;57
dc.subjectMaternal Mortalityid_ID
dc.subjectApplicationid_ID
dc.subjectCOVID-19 pandemicid_ID
dc.subjectPregnant Womenid_ID
dc.titleWEB-BASED APPLICATION DEVELOPMENT TO PREDICT MATERNAL RISK FACTORS DURING PREGNANCYid_ID
dc.typeArticleid_ID


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