Deteksi Anemia pada Ibu Hamil Mengunakan Metode Non Invasif Berbasis Kecerdasan Artifisial
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
References
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Parker, M., Han, Z., Abu-Haydar, E., Matsiko, E., Iyakaremye, D., Tuyisenge, L., Magaret, A., & Lyambabaje, A. (2018). An evaluation of hemoglobin measurement tools and their accuracy and reliability when screening for child anemia in Rwanda: A randomized study. PLOS ONE, 13(1). https://doi.org/10.1371/journal.pone.0187663
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Utama, I. N.-P. (2021). Pengaruh Penerapan Modul Pengelolaan Anemia Terhadap Perubahan Perilaku Ibu Dalam Upaya Meningkatkan Kadar Hemoglobin Ibu Hamil Dengan Anemia, Skripsi, Tidak di Publikasikan, Politeknik Kesehatan Kemenkes Semarang. https://repository.poltekkes-smg.ac.id/?p=show_detail&id=20708
Yanti, N., Nurlisis, N., & Afni, N. (2021). Identifikasi Penyebab Anemia Pada Ibu Hamil di Puskesmas Sungai piring. Jurnal Kesehatan Komunitas, 6(3), 369–376. https://doi.org/10.25311/keskom.vol6.iss3.554
Ajmal, S. Shankarnath, M. Athif and E. H. Jayatunga (2019). Non-Invasive Screening Tool to Detect Anemia, IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT), Bethesda, 67-70. https://doi.org/10.1109/HI-POCT45284.2019.8962856
Alfiana, R. D., Zakaria, H., Shahib, M. N., & Susanto, H. (2019). Accuracy of Hemoglobin Measurement using Noninvasive Oxyhemoglobinometer In Pregnant Women at Health Center of Bantul District. Jurnal Ners Dan Kebidanan Indonesia, 6(1), 59. https://doi.org/10.21927/jnki.2018.6(1).59-64
Astuti, F. A. (2021). Pemanfaatan Teknologi Artificial Intelligence untuk Penguatan kesehatan dan Pemulihan Ekonomi Nasional. Jurnal Sistem Cerdas, 4(1), 25–34. https://doi.org/10.37396/jsc.v4i1.124
BPPT. (2020). Strategi Nasional Kecerdasan Artifisial Indonesia. Available from: https://ai-innovation.id/server/static/ebook/stranas-ka.pdf
Chanda Halim, & Hendri Prasetyo. (2018). Penerapan Artificial Intelligence dalam Computer Aided Instructure (CAI). Jurnal Sistem Cerdas, 1(1), 50–57. https://doi.org/10.37396/jsc.v1i1.6
Dimauro, G., Caivano, D., & Girardi, F. (2018). A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the Conjunctiva. IEEE Access, 6, 46968–46975. https://doi.org/10.1109/access.2018.2867110
Faatih, M. (2018). Penggunaan Alat Pengukur Hemoglobin di Puskesmas, Polindes dan Pustu. Jurnal Penelitian Dan Pengembangan Pelayanan Kesehatan, 6(1), 32–39. https://doi.org/10.22435/jpppk.v1i1.424
Jayakody, J. A. D. C. A., Edirisinghe, E. A. G. A., & Lokuliyana, S. (2021). HemoSmart: A Non‐Invasive Device and Mobile App for Anemia Detection. Cognitive Engineering for Next Generation Computing, 93–119. https://doi.org/10.1002/9781119711308.ch3
Kemenkes RI. (2021). Profil Kesehatan RI Tahun 2020 .139p. Availablefrom:https://pusdatin.kemkes.go.id/resources/download/pusdatin/profil-kesehatanindonesia/Profil-Kesehatan-Indonesia-Tahun-2020.pdf
Kartika, I. D., Savitri, A., & Gayatri, S. W. (2020). Pencegahan dan Tata Laksana Awal Penyakit Anemia pada Ibu Hamil di RSIA St. Khadijah 1 Makassar. Jurnal Pengabdian Kedokteran Indonesia, 1(1), 12–16. https://doi.org/10.33096/jpki.v1i1.100
Lailla, M., Zainar, Z., & Fitri, A. (2021). Perbandingan Hasil Pemeriksaan Hemoglobin Secara Digital terhadap Hasil Pemeriksaan Hemoglobin Secara Cyanmethemoglobin. Jurnal Pengelolaan Laboratorium Pendidikan, 3(2), 63–68. https://doi.org/10.14710/jplp.3.2.63-68
Minasi, A., Susaldi, S., Nurhalimah, I., Imas, N., Gresica, S., & Candra, Y. (2021). Faktor yang Mempengaruhi Kejadian Anemia pada Ibu Hamil. Open Access Jakarta Journal of Health Sciences, 1(2), 57-63. https://doi.org/10.53801/oajjhs.v1i3.21
Mannino, R. G., Myers, D. R., Tyburski, E. A., Caruso, C., Boudreaux, J., Leong, T., Clifford, G. D., & Lam, W. A. (2018). Smartphone app For Non-Invasive Detection of Anemia using Only Patient-Sourced Photos. Nature Communications, 9(1). https://doi.org/10.1038/s41467-018-07262-2
Ningsih, E. W., Fajrin, H. R., & Fitriyah, A. (2019). Pendeteksi Hemoglobin Non Invasive. Medika Teknika : Jurnal Teknik Elektromedik Indonesia, 1(1). https://doi.org/10.18196/mt.010102
Parker, M., Han, Z., Abu-Haydar, E., Matsiko, E., Iyakaremye, D., Tuyisenge, L., Magaret, A., & Lyambabaje, A. (2018). An evaluation of hemoglobin measurement tools and their accuracy and reliability when screening for child anemia in Rwanda: A randomized study. PLOS ONE, 13(1). https://doi.org/10.1371/journal.pone.0187663
Peksi, N. J., Yuwono, B., & Florestiyanto, M. Y. (2021). Classification of anemia with digital images of nails and palms using the naive Bayes method. Telematika, 18(1), 118. https://doi.org/10.31315/telematika.v18i1.4587
Utama, I. N.-P. (2021). Pengaruh Penerapan Modul Pengelolaan Anemia Terhadap Perubahan Perilaku Ibu Dalam Upaya Meningkatkan Kadar Hemoglobin Ibu Hamil Dengan Anemia, Skripsi, Tidak di Publikasikan, Politeknik Kesehatan Kemenkes Semarang. https://repository.poltekkes-smg.ac.id/?p=show_detail&id=20708
Yanti, N., Nurlisis, N., & Afni, N. (2021). Identifikasi Penyebab Anemia Pada Ibu Hamil di Puskesmas Sungai piring. Jurnal Kesehatan Komunitas, 6(3), 369–376. https://doi.org/10.25311/keskom.vol6.iss3.554
Published
2023-12-10
Section
Articles
Copyright (c) 2023 Siti Hajrianti, Melyana Nurul Widyawati, Kurnianingsih Kurnianingsih
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