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dc.contributor.authorAulia Maghfiroh, Sufi-
dc.contributor.authorDwi Wulandari, Ratna-
dc.date.accessioned2023-03-11T02:40:10Z-
dc.date.available2023-03-11T02:40:10Z-
dc.date.issued2022-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4202-
dc.description.abstractEVALUATION OF POSYANDU INFORMATION SYSTEMS USING THE HEALTH METRIC NETWORK MODEL E-Sufi Aulia Maghfiroh 1 , Ratna Dwi Wulandari 1 1 Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia Correspondence Address: Sufi Aulia Maghfiroh E-mail: sufi.aulia.maghfiroh-2016@fkm.unair.ac.id ulia.m aghfir oh-2016@fkm.unair.ac.id ABSTRACT Introduction: Posyandu has an important role in disseminating health information and monitoring the growth and development of infants and toddlers. The information generated serves as a material for consideration of decision-making. In order for the decision-making to be right on target, it is necessary to evaluate the Posyandu recording and reporting system. The purpose of this study is to assess the implementation of the Putra Bangsa Posyandu recording and reporting system in Bojonegoro which is more commonly referred as Posyandu Information System (PIS). Methods: used in this study is a qualitative approach that is presented descriptively using in-depth interviews and observation methods without making any intervention on the target. The Posyandu Information System Assessment uses Health Metrics Network components which are grouped into 3 parts, namely input, process, and output. Result: of the evaluation of the implementation of the Posyandu Information System at Putra Posyandu show that in terms of input the implementation of the Posyandu Information System is not in accordance with the guidelines for implementing the Posyandu Information System. From the aspect of the process it was found that data collection had been carried out routinely, but there was one format that was not yet routine. In terms of output it shows that the data generated are quite complete but not timely. Conclusion: Human Resources (HR) is one of the most dominant factors causing Posyandu Information Systems not to run optimally. The results of this study can help Health Information Management in improving the Posyandu Information System. Keywords: Posyandu, Health Metric Network, Record, Reporten_US
dc.subjectPosyanduen_US
dc.subjectHealth Metric Networken_US
dc.subjectRecorden_US
dc.subjectReporten_US
dc.titleEVALUATION OF POSYANDU INFORMATION SYSTEMS USING THE HEALTH METRIC NETWORK MODELen_US
dc.typeArticleen_US
Appears in Collections:VOL 17 NO 3 2022

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