Determinan BBLR dari Riwayat Maternal sebagai Bahan Pengembangan Fuzzy Logic Method Teknologi Informatika
DOI:
https://doi.org/10.47859/jmu.v10i02.519Keywords:
BBLR, Determinan maternal, teknologi informasiAbstract
Background: Infants born with Low Birth Weight (LBW) are a significant factor contributing to stunting in children under five. Therefore, a system is needed for early detection of LBW. To develop an accurate system, accurate variables are necessary. Descriptive research on the determinants of LBW based on maternal history is crucial. Objective: To identify the determinants of LBW from maternal history as a basis for developing Fuzzy Logic Method technology. Method: This quantitative study employs a descriptive analytic approach. Results: SPSS data analysis indicates a relationship between LBW and gestational age (p-value: 0.001), parity (p-value: 0.008), Mid-Upper Arm Circumference (MUAC) (p-value: 0.758), hemoglobin levels (p-value: 0.021), and pregnancy risk (p-value: 0.001). Conclusion: The independent variables significantly associated with LBW are gestational age, parity, anemia status from hemoglobin data, and pregnancy risk status. Conversely, MUAC is not significantly associated with LBW.
References
Aji, A. H., Furqon, M. T., & Widodo, A. W. (2018). Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor ( CF ). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(5), 2127–2134. http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1556
Aldave, A., Vara, J. M., Granada, D., & Marcos, E. (2019). Leveraging creativity in requirements elicitation within agile software development: A systematic literature review. Journal of Systems and Software, 157. https://doi.org/10.1016/j.jss.2019.110396
Anil, K. C., Basel, P. L., & Singh, S. (2020). Low birth weight and its associated risk factors: Health facility-based case-control study. PLoS ONE, 15(6 June), 1–10. https://doi.org/10.1371/journal.pone.0234907
Ariska, F., & Yulianton, H. (2023). Penerapan Sistem Pakar Diagnosa Penyakit Autisme pada Anak dengan Metode Forward Chaining Berbasis Web. Jurnal Riset Sistem Informasi Dan Teknik Informatika (JURASIK), 8(2), 549–557.
https://tunasbangsa.ac.id/ejurnal/index.php/jurasik
Bupati Cilacap. (2019). Surat Keputusan Bupati Cilacap Tentang Penurunan Stunting (Vol. 1).
Chersich, M. F., Pham, M. D., Areal, A., Haghighi, M. M., Manyuchi, A., Swift, C. P., Wernecke, B., Robinson, M., Hetem, R., Boeckmann, M., & Hajat, S. (2020). Associations between high temperatures in pregnancy and risk of preterm birth, low birth weight, and stillbirths: Systematic review and meta-analysis. The BMJ, 371, 1–13. https://doi.org/10.1136/bmj.m3811
Erlindawari, Ciselia, D., & Amalia, R. (2024). faktor-faktor yang Berhubungan Dengan Kejadian Berat Badan Lahir Rendah (BBLR). Jurnal ’Aisyiyah Medika, 9, 102–114.
Febrianti, T., Abdullahi Omar, N., Sabilla, M., Efendi, R., & Arum Ariasih, R. (2023). DETERMINAN KEJADIAN BERAT BAYI LAHIR RENDAH (BBLR) DI RSUD KOJA, JAKARTA UTARA Determinants of Low Birth Weight (LBW) in Koja Hospital, North Jakarta. Jurnal Kesehatan Reproduksi, 13(2), 115–121.
Ferinawati, & Sari, S. (2020). Faktor-Faktor Yang Berhubungan Dengan Kejadian BBLR Di Wilayah Kerja Puskesmas Jeumpa Kabupaten Bireuen. Journal of Healthcare Technology and Medicine, 6(1), 353–363.
Figueiredo, A. C. M. G., Gomes-Filho, I. S., Batista, J. E. T., Orrico, G. S., Porto, E. C. L., Pimenta, R. M. C., Dos Santos Conceição, S., Brito, S. M., De Santana Xavier Ramos, M., Sena, M. C. F., Vilasboas, S. W. S. L., Da Cruz, S. S., & Pereira, M. G. (2019). Prospective cohort study. PLoS ONE, 14(3), e0212817.
https://doi.org/10.1371/journal.pone.0212817
Figueiredo, A. C. M. G., Gomes-Filho, I. S., Silva, R. B., Pereira, P. P. S., Da Mata, F. A. F., Lyrio, A. O., Souza, E. S., Cruz, S. S., & Pereira, M. G. (2018). Maternal anemia and low birth weight: A systematic review and meta-analysis. Nutrients, 10(5), 1–17. https://doi.org/10.3390/nu10050601
Fojtik, R. (2011). Extreme programming in development of specific software. Procedia Computer Science, 3, 1464–1468. https://doi.org/10.1016/j.procs.2011.01.032
Kemenkes RI. (2023). Menteri Kesehatan Republik Indonesia Hasil Survei Status Gizi Indonesia (SSGI) 2022. 1–7.
Kusumawati, D. D., Septiyaningsih, R., & Susilawati. (2022). Efektifitas Kartu Pintar Cegah Stunting Terhadap Peningkatan Pengetahuan Ibu Hamil Tentang Stunting. Jika, 7(1), 32–37.
Mamidi, R. S., Banjara, S. K., Manchala, S., Babu, C. K., Geddam, J. J. B., Boiroju, N. K., Varanasi, B., Neeraja, G., Reddy, G. V. R., Ramalakshmi, B. A., Hemalatha, R., & Meur, G. (2022). Maternal Nutrition, Body Composition and Gestational Weight Gain on Low Birth Weight and Small for Gestational Age—A Cohort Study in an Indian Urban Slum. Children, 9(10). https://doi.org/10.3390/children9101460
Muhamasri, C. (2023). Sistem Pakar Untuk Diagnosa Awal Penyakit Lambung Dempster-Shafer Berbasis Web. Jurnal SANTI - Sistem Informasi Dan Teknik Informasi, 1(3), 9–13. https://doi.org/10.58794/santi.v1i3.332
Phan, H. T., Nguyen, N. T., Tran, V. C., & Hwang, D. (2021). An approach for a decision-making support system based on measuring the user satisfaction level on Twitter. Information Sciences, 561, 243–273. https://doi.org/10.1016/j.ins.2021.01.008
Riska, M. A. H., Hanifa, F., & Ola, S. E. (2022). Hubungan Primigravida Muda, Kekurangan Energi Kronis (KEK) dan Sosial Ekonomi dengan Kejadian Berat Badan Lahir Rendah (BBLR) di Puskesmas Tenjo Tahun 2022. SIMFISIS Jurnal Kebidanan Indonesia, 2(2), 297–302. https://doi.org/10.53801/sjki.v2i2.81
Rusdiansyah, R., Setiawan, S., & Badrul, M. (2019). Diabetes Mellitus Diagnosis Expert System With Web-Based Forward Chaining. SinkrOn, 3(2), 61. https://doi.org/10.33395/sinkron.v3i2.10055
salsabila G, Arafiyah R, I. H. (2019). Sistem Pakar Diagnosa Penyakit Demam Berdarah Berbasis Website Menggunakan Metode Certainty Factor. Universitas Negeri Jakarta, 1–127.
Santra, D., Basu, S. K., Mandal, J. K., & Goswami, S. (2020). Rough set based lattice structure for knowledge representation in medical expert systems: Low back pain management case study. Expert Systems with Applications, 145, 113084. https://doi.org/10.1016/j.eswa.2019.113084
Sari, I. K., Tjekyan, R. S., & Zulkarnain, M. (2018). Faktor Resiko Dan Angka Kejadian Berat Badan Lahir Rendah (Bblr) Di Rsup Dr. Mohammad Hoesin Palembang Tahun 2014. Jurnal Ilmu Kesehatan Masyarakat, 9(1), 41–52. https://doi.org/10.26553/jikm.2018.9.1.41-52
Susyani, S., Febry, F., Margarhety, I., Sadiq, A., Sartono, S., Sari, I. P., & Ni’mah, T. (2022). Maternal Risk Factor on Incidence of Stunting in South Sumatera. Open Access Macedonian Journal of Medical Sciences, 10(E), 1599–1604. https://doi.org/10.3889/oamjms.2022.10761
UNICEF/WHO/WORLD BANK. (2021). Levels and trends in child malnutrition UNICEF / WHO / World Bank Group Joint Child Malnutrition Estimates Key findings of the 2021 edition. World Health Organization, 1–32. https://www.who.int/publications/i/item/9789240025257
UNICEF, WHO, & WORLD BANK. (2023). Level and trend in child malnutrition. World Health Organization, 4. https://www.who.int/publications/i/item/9789240073791
Wang, H., & Meng, X. (2019). Transformation from IT-based knowledge management into BIM-supported knowledge management: A literature review. Expert Systems with Applications, 121, 170–187. https://doi.org/10.1016/j.eswa.2018.12.017
Wanti, L. P., & Lina Puspitasari. (2022). Optimization of the Fuzzy Logic Method for Autism Spectrum Disorder Diagnosis. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 6(1), 16–24. https://doi.org/10.29207/resti.v6i1.3599
Wanti, L. P., & Romadhon, S. (2020). Implementasi Forward Chaining Method Pada Sistem Pakar Untuk Deteksi Dini Penyakit Ikan. Infotekmesin, 11(2), 74–79. https://doi.org/10.35970/infotekmesin.v11i2.248
Wanti, L. P., Somantri, O., Romadloni, A., & Tripustikasari, E. (2021). Optimization of Extreme Programming Methods in Plastics Waste Management Company Websites. JISA(Jurnal Informatika Dan Sains), 4(2), 144–148. https://doi.org/10.31326/jisa.v4i2.1018
Wigati A, Islami, A. D. (2024). Kejadian Berat Badan Lahir Rendah Berdasarkan Riwayat Kehamilan. Jurnal Ilmu Keperawatan Dan Kebidanan, 15(1), 102–109.
Zieschang, L., Klein, M., Jung, N., Krämer, J., & Windbergs, M. (2019). Formulation development of medicated chewing gum tablets by direct compression using the SeDeM-Diagram-Expert-System. European Journal of Pharmaceutics and Biopharmaceutics, 144(April), 68–78. https://doi.org/10.1016/j.ejpb.2019.09.003
Zurhayati, & Hidayah, N. (2022). Pendahuuan Stunting termasuk gangguan pertumbuhan pada anak usia dua tahun kebawah . terjadi pada periode seribu hari pertama dari dalam kandungan yang akan berdampak bagi kelangsungan hidup anak [ 1 ]. Badan tidak tinggi , beresiko memiliki berat badan. Journal of Midwifery Science, 6(1), 1–10.
