Infotekmesin
Vol 13 No 1 (2022): Infotekmesin: Januari, 2022

Sistem Pakar Deteksi Dini Penyakit Preeklamsia pada Ibu Hamil Menggunakan Metode Certainty Factor

Nur Wachid Adi Prasetya (Politeknik Negeri Cilacap)
Linda Perdana Wanti (Politeknik Negeri Cilacap)
Laura Sari (Politeknik Negeri Cilacap)
Lina Puspitasari (Stikes Graha Mandiri Cilacap)



Article Info

Publish Date
17 Sep 2022

Abstract

Preeclampsia is a disease in pregnant women characterized by high blood pressure and positive urine protein. The disease has a high risk of maternal and fetal death, so there is a need for early detection of mothers at risk of preeclampsia. Early online detection of preeclampsia is the best solution during the Covid-19 pandemic by analyzing the influencing factors. The purpose of this study is to build an expert system for early detection of preeclampsia in pregnant women using the Certainty Factor method and the waterfall system development model in order to provide the possibility of pregnant women suffering from preeclampsia. Testing the accuracy of 30 medical record data for pregnant women resulted in a system accuracy level of 90%, while usability testing resulted in a user satisfaction level of 55 with the System Usability Testing (SUS) score criteria being "Poor", therefore improvements are needed on expert system in the future.

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Journal Info

Abbrev

infotekmesin

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Description

INFOTEKMESIN is a peer-reviewed open-access journal with e-ISSN 2685-9858 and p-ISSN: 2087-1627 published by Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Cilacap. The journal invites scientists and engineers to exchange and disseminate theoretical and practice-oriented in the ...