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All Journal Journal of Telenursing (JOTING)
Hajrianti, Siti
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Health Professions Nursing

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Deteksi Anemia pada Ibu Hamil Mengunakan Metode Non Invasif Berbasis Kecerdasan Artifisial Hajrianti, Siti; Widyawati, Melyana Nurul; Kurnianingsih, Kurnianingsih
Journal of Telenursing (JOTING) Vol 5 No 2 (2023): Journal of Telenursing (JOTING)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/joting.v5i2.7468

Abstract

This study aims to create a non-invasive tool for anemia detection in pregnant women based on artificial intelligence. The method used is Research and Development (R&D) with small-scale tests. The results showed that a non-invasive anemia detection tool was feasible to use because it got an AUC value of 91% which was good in the diagnostic test of the tool and the sensitivity value of the tool was 94% which means the tool is feasible to use. In addition, it can determine anemia status in pregnant women with a value of (p -value 0.957). Conclusion, the design of a non-invasive anemia detection tool based on artificial intelligence is feasible and provides valid and fast results in measuring Hb levels in determining anemia status in pregnant women. Keywords: Anemia, Artificial Intelligence, Hemoglobin
Co-Authors Kurnianingsih Kurnianingsih, Kurnianingsih Melyana Nurul Widyawati