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Journal : Journal of Telenursing (JOTING)

Peningkatan Imunitas Ibu Nifas Melalui Senyawa Flavonoid Hasil Ekstraksi Lemon (Citrus Limon) Menggunakan Teknologi Ultrasound Assisted Extraction Septiani, Camilla; Widyawati, Melyana Nurul; Kurnianingsih, Kurnianingsih; Sudiyono, Sudiyono; Susanto, Edy
Journal of Telenursing (JOTING) Vol 6 No 1 (2024): 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.v6i1.5256

Abstract

This study aims to determine the effectiveness of the extraction of lemon liquid (citrus limon) using Ultrasound Assisted Extraction (UAE) technology against increasing the immunity of puerperal mothers. The method used is true experiment with randomized pretest and posttest with control group design. The results showed that the average increase in immunity of postpartum mothers in the pretest intervention group was 264.66 and posttest was 328.16 while in the control group the average result of increasing immunity was 208.76 and posttest was 137.05. The conclusion of giving the results of the extraction of lemon liquid (citrus limon) using Ultrasound Assisted Extraction (UAE) technology at a dose of 7grams / 175ml given for 14 days was proven to have an effect on increasing the immunity of postpartum mothers with a p value of <0.05. Keywords : Immunity, Mother Puerperium, Flavonoid Compounds, Lemon Extraction, Ultrasound Assisted Extraction (UAE).
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