Pelatihan SIPAKPRIH untuk Deteksi Dini Preeklamsia sebagai Dukungan Peningkatan Kinerja IBI Kabupaten Cilacap

  • Linda Perdana Wanti Politeknik Negeri Cilacap
  • Nur Wachid Adi Prasetya Politeknik Negeri Cilacap
  • Lina Puspitasari STIKES Graha Mandiri Cilacap
  • Laura Sari Politeknik Negeri Cilacap
  • Annisa Romadloni Politeknik Negeri Cilacap
Keywords: Health Service, Performance Improvement, Early Detection, Pregnant Women, Preeclampsia

Abstract

IBI (Indonesian Midwives Association) Cilacap Regency is a forum for the association of midwife medical personnel in the Cilacap Regency. The performance of midwives can be continuously improved through training that supports all health service activities in the community. One of them is training in the use of information systems to detect the presence of preeclampsia in pregnant women (SIPAKPRIH) from the first to the third trimester by selecting the causative factors experienced by pregnant women. Midwives can take advantage of the expert system to support the performance of midwives in terms of health services for the community, especially pregnant women and the babies/fetus they contain. The solution proposed through this PkM activity is to improve the performance of midwives, especially midwives in Cilacap Regency in supporting health service activities to the community that are useful for monitoring the health of mothers and babies during pregnancy. The output target of this PkM activity is to increase the skills and knowledge of midwives for monitoring the health of pregnant women who are detected with preeclampsia through optimizing SIPAKPRIH.

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References

Bracken, H., Buhimschi, I. A., Rahman, A., Smith, P. R. S., Pervin, J., Rouf, S., Bousieguez, M., López, L. G., Buhimschi, C. S., Easterling, T., & Winikoff, B. (2021). Congo red test for identification of preeclampsia: Results of a prospective diagnostic case-control study in Bangladesh and Mexico. EClinicalMedicine, 31. https://doi.org/10.1016/j.eclinm.2020.100678

Fikar Ahmad, Z., Surya Indah Nurdin, S., Kesehatan Masyarakat, J., Olahraga dan Kesehatan, F., Negeri Gorontalo, U., Studi Kebidanan, P., Ilmu Kesehatan, F., & Muhammadiyah Gorontalo, U. (2019). FAKTOR RISIKO KEJADIAN PREEKLAMSIA DI RSIA SITI KHADIJAH GORONTALO. Akademika, 8(2), 150–162.

Indrawati, L., & Tjandrarini, D. H. (2018). Peran Indikator Pelayanan Kesehatan untuk Meningkatkan Nilai Sub Indeks Kesehatan Reproduksi dalam Indeks Pembangunan Kesehatan Masyarakat (IPKM). Media Penelitian Dan Pengembangan Kesehatan, 28(2), 95–102. https://doi.org/10.22435/mpk.v28i2.180

Irawan, B., & Ainy, A. (2018). Analisis Faktor-Faktor Yang Berhubungan Dengan Pemanfaatan Pelayanan Kesehatan Pada Peserta Jaminan Kesehatan Nasional Di Wilayah Kerja Puskesmas Payakabung, Kabupaten Ogan Ilir. Jurnal Ilmu Kesehatan Masyarakat, 9(3), 189–197. https://doi.org/10.26553/jikm.v9i3.311

Macedo, T. C. C., Montagna, E., Trevisan, C. M., Zaia, V., de Oliveira, R., Barbosa, C. P., Laganà, A. S., & Bianco, B. (2020). Prevalence of preeclampsia and eclampsia in adolescent pregnancy: A systematic review and meta-analysis of 291,247 adolescents worldwide since 1969. European Journal of Obstetrics and Gynecology and Reproductive Biology, 248(March), 177–186. https://doi.org/10.1016/j.ejogrb.2020.03.043

Nopriansyah, U., Wulandari, H., & Pangastuti, R. (2020). Pengembangan Aplikasi Kesehatan Berbasis Mobile Untuk Pemantauan Deteksi Dini Tumbuh Kembang (DDTK) Anak Usia 4-6 Tahun. Al Althfaal: Jurnal Ilmiah Pendidikan Anak Usia Dini, 3(1), 98–111.

Puspitasari, I., & Indrianingrum, I. (2020). Ketidaknyamanan Keluhan Pusing Pada Ibu Hamil Di Wilayah Kerja Puskesmas Gribig Kabupaten Kudus. Jurnal Ilmu Keperawatan Dan Kebidanan, 11(2), 265. https://doi.org/10.26751/jikk.v11i2.844

Risnawati, R., & Kurniati, E. (2018). Hubungan Graviditas dengan Kejadian Preeklamsia pada Ibu Bersalin Kabupaten Bulukumba Tahun 2017. JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE, 4(2), 218–224.

Rusdiana, L., & Setiawan, H. (2019). Perancangan Aplikasi Monitoring Kesehatan Ibu Hamil Berbasis Mobile Android. Sistemasi, 8(1), 169. https://doi.org/10.32520/stmsi.v8i1.391

Wanti, L. P., Fadillah, Romadloni, A., Ikhtiagung, G. N., Prasetya, N. W. A., Prihantara, A., Bahroni, I., & Pangestu, I. A. (2022). Pemanfaatan Teknologi Informasi untuk Pengembangan Desa Wisata Widarapayung Wetan melalui Pemberdayaan Kelompok Sadar Wisata (Pokdarwis). Dinamisia : Jurnal Pengabdian Kepada Masyarakat, 6(1), 128–135. https://doi.org/10.31849/dinamisia.v6i1.8385

Wanti, L. P., Ikhtiagung, G. N., & Pangestu, I. A. (2021). Implementasi Extreme programming Pada Website Marketplace Lapak Petani Online. 12(01), 50–58. https://doi.org/10.35970/infotekmesin.v12i1.427

Wanti, L. P., Laksono, K. Y., & Purwanto, R. (2019). Implementasi Metode User Centered Design Pada Sistem Pendukung Keputusan Peramalan Penjualan Ikan Hias. Jurnal ICT : Information Communication & Technology, 18(1), 26–33. https://doi.org/10.36054/jict-ikmi.v18i1.39

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

Yanto, B. F., Werdiningsih, I., & Purwanti, E. (2017). Aplikasi Sistem Pakar Diagnosa Penyakit Pada Anak Bawah Lima Tahun Menggunakan Metode Forward Chaining. Journal of Information Systems Engineering and Business Intelligence, 3(1), 61. https://doi.org/10.20473/jisebi.3.1.61-67

Zhang, X., Chen, Y., Salerno, S., Li, Y., Zhou, L., Zeng, X., & Li, H. (2022). Prediction of severe preeclampsia in machine learning. Medicine in Novel Technology and Devices, 15(July). https://doi.org/10.1016/j.medntd.2022.100158

Published
2023-06-22
How to Cite
Wanti, L. P., Prasetya, N. W. A., Puspitasari, L., Sari, L., & Romadloni, A. (2023). Pelatihan SIPAKPRIH untuk Deteksi Dini Preeklamsia sebagai Dukungan Peningkatan Kinerja IBI Kabupaten Cilacap. Dinamisia : Jurnal Pengabdian Kepada Masyarakat, 7(3), 581-591. https://doi.org/10.31849/dinamisia.v7i3.11586
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