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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 11, 2023.
Abstract: Nurses are professionals who provide health services using a scientific process called nursing. In nursing, problem-solving uses the nursing process which is a critical thinking method, nurses must analyze the data found in patients to diagnose and determine the results and appropriate intervention plans. Prospective nursing students are required to be able to apply the nursing process in carrying out nursing care according to existing nursing standards, of course, with supervision by nursing experts to improve the quality of medical services. This study aims to develop an android application with the help of an expert system as a nursing diagnosis tool, which helps nursing students learn the nursing process and helps lecturers monitor the nursing process carried out by nursing students. This research uses 116 symptom data, 22 diagnosis data, 60 intervention data, 8 type data, and 864 description data. The results of this research are in the form of an expert system with an android-based forward chaining method that has been tested using the black box testing method.
Aristoteles , Abie Perdana Kusuma, Anie Rose Irawati, Dwi Sakethi, Lisa Suarni, Dedy Miswar and Rika Ningtias Azhari, “Development of Nursing Process Expert System for Android-based Nursing Student Learning” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141122
@article{2023,
title = {Development of Nursing Process Expert System for Android-based Nursing Student Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141122},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141122},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Aristoteles and Abie Perdana Kusuma and Anie Rose Irawati and Dwi Sakethi and Lisa Suarni and Dedy Miswar and Rika Ningtias Azhari}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.