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Web-Based Comprehensive Assessment for Postpartum Care using Rule-Based Algorithm
Author(s) -
Sa’adah Mujahidah,
S Suryono,
Melyaurul Widyawati
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1179/1/012142
Subject(s) - computer science , web application , intervention (counseling) , health care , algorithm , information system , data mining , medicine , machine learning , nursing , world wide web , engineering , electrical engineering , economics , economic growth
Administration of postpartum care has been performed in line with health care standards. Unfortunately the health service medical record data is still incomplete.This results in delays in establishing a diagnosis and providing therapy which results in a worsening of the postpartum mother’s condition.This paper proposes a web-based information system that may become one solution in solving the remaining issues in postpartum care. The system developed here is expected to improve health care quality with better data completion of postpartum mothers and access to them. The system developed here is web-based, in that it applies the rule-based artificial intelligence system. Input of the system are results of physical examination performed by medical professionals. Then processed using the rule-based algorithm to produce diagnosis and proper recommendation. This research is quasi-experimental using posttest only with control group. There were 40 were categorized into intervention group (n=20) who used the information system and control group (n=20) who used the present system endorsed by the government.. The rule-based algorithm in the information system uses validation from experts. Results show that the information system developed here is capable of solving the issue of incomprehensive data, as well as effectiveness in providing postpartum care.

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