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All Journal International Journal of Basic and Applied Science Jurnal Media Informatika Jurnal EduHealth
Handayani, Purnama
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Physics Public Health Veterinary

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The Effect Of Giving Green Bean Juice On Hemoglobin Levels In Pregnant Women With Mild Anemia In The UPTD Area Of Alasa Health Center In 2023 Lubis, Anita Damayanti; Handayani, Purnama
Jurnal EduHealth Vol. 15 No. 03 (2024): Jurnal EduHealt (September), Year 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pregnancy and childbirth are natural processes for a woman. Pregnancy results in an increase in blood volume which can cause anemia. One alternative that can be done to prevent anemia in pregnant women is by giving green bean juice. This study aims to determine the effect of giving green bean juice on hemoglobin levels in mildly anemic pregnant women in the UPTD area of the Alasa Health Center in 2023. This research is a pre-experimental design research with a one group pretest and posttest design approach. This research was carried out from 2 October 2023 to 14 October 2023. The population was 58 people. Sampling used purposive sampling with a sample size of 20 people. The research results showed that the hemoglobin level in mildly anemic pregnant women before being given green bean juice in the UPTD area of Alasa Health Center was mild anemia and the hemoglobin level in mildly anemic pregnant women after being given green bean juice in the UPTD area of Alasa Health Center was normal. Based on the results of the paired t-test, the p value = 0.001 <0.05. The conclusion of this research is that there is an effect of giving green bean juice on hemoglobin levels in mildly anemic pregnant women in the UPTD Alasa Health Center area in 2023. Suggestions in this research are that UPTD Alasa Health Center provides education and information to pregnant women. Apart from consuming Fe tablets, mothers can also consume Fe tablets. green bean juice for preventing anemia.
Pengaruh Terapi Akupresure Menggunakan Titik L14 Terhadap Disminore Pada Santriwati Di Pondok Pesantren Al-Uswah Sumatera Utara Tahun 2024 Sumiatik, Sumiatik; Handayani, Purnama
Jurnal Media Informatika Vol. 6 No. 2 (2025): Jurnal Media Informatika
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i2.4741

Abstract

Disminore merupakan gejala yang sering dialami wanita pada saat menstruasi dan ditandai dengan nyeri kram pada perut bagian bawah yang disebabkan oleh kejang otot rahim hingga membatasi aktivitas normal. Sebagian remaja tidak mengerti tentang mangatasi disminore tanpa obat-obatan salah satunya dengan pijatan akupresure. Penelitian ini bertujuan untuk mengetahui Pengaruh Akupresure Dengan Menggunakan Titik L14 Terhadap Disminore Pada Santri Putri Di Pondok Pesantren Al-Uswah Sumatera Utara. Metode penelitian ini kuantitatif dengan desain eksperimen one group pretest posttest only design dilakukan di Pondok Pesantren Al-Uswah. Populasi dalam penelitian ini adalah seluruh santriwati Aliyah dengan teknik pengambilan sampel accidental sampling. Pengumpulan data dilakukan dengan membagikan pre test dan post test kepada responden. Penelitian ini menggunakan uji statistik paired sampel t-Test.  Hasil penelitian terdapat Nyeri haid pada santriwati di Pondok Pesantren Al-Uswah sebelum dilakukan akupresur mayoritas pada kategori nyeri haid sedang, nyeri haid pada santriwati di Pondok Pesantren Al-Uswah sesudah dilakukan akupresur mayoritas pada kategori nyeri haid ringan, berdasarkan uji statistik  paired t-Test didapatkan hasil p-value (0,00) ≤ (0,05), artinya Ha diterima yang artinya terdapat pengaruh akupresur terhadap penurunan nyeri haid pada santriwati yang mengalami disminore di Poondok pesantren Al-Uswah. Kesimpulan penelitian ini terdapat pengaruh akupresur terhadap penurunan nyeri haid pada santriwati yang mengalami disminore di Pondok pesantren Al-Uswah. Disarankan kepada santriwati Pondok Pesantren Al-Uswah yang sudah diberikan pelatihan dapat diterapkan sebagai tambahan non farmakologi menjelang menstruasi secara mandiri untuk mengurangi nyeri dismenorea.
Dynamic model for early detection of preterm labor Nugraeny, Lolita; Suhartini, Suhartini; Sumiatik, Sumiatik; Handayani, Purnama
International Journal of Basic and Applied Science Vol. 13 No. 4 (2025): Computer Science, Engineering, Basic and Applied mathematics Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v13i4.678

Abstract

Preterm labor is a major challenge in maternal and neonatal health because it contributes to high rates of newborn morbidity and mortality. Early detection is crucial, but conventional static approaches often fail to identify risks accurately and in a timely manner. This study proposes the development of a dynamic machine learning-based preterm birth risk prediction model using the Long Short-Term Memory (LSTM) architecture combined with the Bayesian Updating approach. The model is designed to process multivariate time-series data from various clinical sources such as EHR (electronic medical record), EHG (electrohysterography), CTG (cardiotocography), and vital signals collected longitudinally during pregnancy. By leveraging LSTM's ability to capture long-term temporal relationships and Bayesian probabilistic renewal mechanisms, the model is able to provide real-time and adaptive estimates of preterm labor risk on a weekly basis. Risk prediction results are visualized in the form of interactive graphs with risk categorization (low, medium, high) to support fast and accurate clinical interpretation. The study used simulated data on 500 pregnant patients and showed that the system can adjust risk predictions as new data comes in. This research makes a significant contribution to the development of artificial intelligence-based clinical decision support systems for pregnancy monitoring. Going forward, integration with real clinical data and external validation in the hospital environment is expected to improve the accuracy and implementability of the system in daily medical practice.
Co-Authors Lubis, Anita Damayanti Nugraeny, Lolita Suhartini Suhartini Sumiatik, Sumiatik