Bedjo Santoso, Bedjo
Islamic Banking and Finance IIUM Economics Faculty of Islamic University of Sultan Agung Semarang

Published : 32 Documents

Found 1 Documents
Journal : Jurnal Keperawatan Silampari

Diagnosa Preeklampsia pada Ibu Hamil Menggunakan Sistem Informasi Berbasis Web Aini, Fajaria Nur; Widyawati, Melyana Nurul; Santoso, Bedjo
Jurnal Keperawatan Silampari Vol 2 No 2 (2019): Jurnal Keperawatan Silampari (JKS)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (926.851 KB) | DOI: 10.31539/jks.v2i2.508


The aims of this research are to produce a diagnosis system for preeclampsia with online system and to determine the time differences to diagnose preeclampsia using a web-based information system and  using manual system. This research method is to formulate a framework, which is to compile a web-based information system framework then apply it to pregnant women. The research design used was quasi experimental with post test only with control group. This research was conducted at the Puskesmas. The sampling technique used is non probability sampling with purposive sampling, with a sample number of 66 respondents. The intervention group (n = 33) used an information system, while the control group (n = 33) used a manual checklist. The results showed that the majority of respondents were healthy pregnant women, namely in the intervention group a total of 20 pregnant women (30.30%) and in the control group of 15 pregnant women (22.73%). The smallest number of diagnoses is in the case of superimposed preeclampsia. Web-based information systems are also able to increase the speed of diagnosis to reach 7.21%. The results of statistical tests using Independent T-Test obtained P-value of 0.041 <0.05 (α), so that Ha was accepted and Ho was rejected, in other words there was a difference in the time of diagnosis of preeclampsia using a web-based information system with a manual system.   Keywords: Diagnosis, Preeclampsia, Information Systems, Web