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Authors: Maryani Setyowati and Vilda Ana Viera Setyawati

Affiliation: Dian Nuswantoro University Semarang, Indonesia

Keyword(s): Data processing model, descriptive, maternal health, maternal mortality, midwife.

Abstract: Maternal mortality cases are still common in Central Java, this may affect the achievement of Sustainable Development Goals. The Government of Central Java has accompanied pregnant women and mother data collection by midwives, but still the discovery of inaccurate data. The objective of the research is to design a form of maternal health data processing that facilitates midwife in the field. This research type was descriptive with qualitative data based on observation and interview method, using system development life cycle. Respondent was 15 Puskesmas midwives selected by nonprobability sampling method with purposive sampling. The location of the research is based on the findings of the highest maternal mortality case in Semarang city, while the data analysis is descriptive about the health data processing model maternal in puskesmas. The design of data processing form of record-based android. Based on the results of the study, maternal health data has been computerized but has not facilitated the task of midwife in the field, so it is necessary to designed the SIM-Bumil application which is expected to help the work efficiency of midwife in field and improve the accuracy of maternal health data that can support maternal health program (More)

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Paper citation in several formats:
Setyowati, M. and Setyawati, V. (2018). Implementation of Maternal Health Data Processing of Computerization for Preventing the Case of Maternal Mortality by Midwives at Puskesmas in Supporting SDG's Achievements. In Proceedings of the 2nd International Symposium of Public Health - ISOPH; ISBN 978-989-758-338-4; ISSN 2184-3643, SciTePress, pages 202-208. DOI: 10.5220/0007511502020208

@conference{isoph18,
author={Maryani Setyowati. and Vilda Ana Viera Setyawati.},
title={Implementation of Maternal Health Data Processing of Computerization for Preventing the Case of Maternal Mortality by Midwives at Puskesmas in Supporting SDG's Achievements},
booktitle={Proceedings of the 2nd International Symposium of Public Health - ISOPH},
year={2018},
pages={202-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007511502020208},
isbn={978-989-758-338-4},
issn={2184-3643},
}

TY - CONF

JO - Proceedings of the 2nd International Symposium of Public Health - ISOPH
TI - Implementation of Maternal Health Data Processing of Computerization for Preventing the Case of Maternal Mortality by Midwives at Puskesmas in Supporting SDG's Achievements
SN - 978-989-758-338-4
IS - 2184-3643
AU - Setyowati, M.
AU - Setyawati, V.
PY - 2018
SP - 202
EP - 208
DO - 10.5220/0007511502020208
PB - SciTePress