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All Journal Jurnal Bidan Prada Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Kebidanan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Epidemiology and Public Health Jurnal Kesehatan Al-Irsyad Infotekmesin Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Jurnal Kebidanan Harapan Ibu Pekalongan Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Global Health research Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat Jurnal Kabar Masyarakat Jurnal Inovasi Daerah
Lina Puspitasari
Stikes Graha Mandiri Cilacap
Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Journal : Infotekmesin

 1 
Sistem Pakar Deteksi Dini Penyakit Preeklamsia pada Ibu Hamil Menggunakan Metode Certainty Factor Nur Wachid Adi Prasetya; Linda Perdana Wanti; Laura Sari; Lina Puspitasari
Infotekmesin Vol 13 No 1 (2022): Infotekmesin: Januari, 2022
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v13i1.1050

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.
Indonesia Nur Wachid Adi Prasetya; Linda Perdana Wanti; Lina Puspitasari
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1635

Abstract

Preeclampsia is a disease of pregnant women, causing many complaints, including dizziness. Massage is the right solution to reduce dizziness since the use of analgesic drugs is not recommended. Submission of massage information can be more effective through digital technology. The purpose of this research is to build an application based on Augmented Reality (AR) as a guide for facial massage movements for midwives and pregnant women to deal with complaints of dizziness for pregnant women. The method used is the Multimedia Development Life Cycle (MDLC), which consists of the stages of making a concept, making a design, collecting materials, combining materials, testing, and distribution. Black box testing on 10 scenarios produces a value of 100%, which means the application can run properly. In addition, usability testing using the System Usabilities Scale (SUS) method shows a value of 69.5, which means that the application has the "good" criteria and is acceptable to users.
Indonesia Prasetya, Nur Wachid Adi; Linda Perdana Wanti; Lina Puspitasari; Indonesia
Infotekmesin Vol 14 No 1 (2023): Infotekmesin: Januari, 2023
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v14i1.1635

Abstract

Preeclampsia is a disease of pregnant women, causing many complaints, including dizziness. Massage is the right solution to reduce dizziness since the use of analgesic drugs is not recommended. Submission of massage information can be more effective through digital technology. The purpose of this research is to build an application based on Augmented Reality (AR) as a guide for facial massage movements for midwives and pregnant women to deal with complaints of dizziness for pregnant women. The method used is the Multimedia Development Life Cycle (MDLC), which consists of the stages of making a concept, making a design, collecting materials, combining materials, testing, and distribution. Black box testing on 10 scenarios produces a value of 100%, which means the application can run properly. In addition, usability testing using the System Usabilities Scale (SUS) method shows a value of 69.5, which means that the application has the "good" criteria and is acceptable to users.
Co-Authors Annisa Romadloni Argyo Demartoto, Argyo Azizatul Misti Bhisma Murti Ernawati Ernawati Ernawati Ernawati Fatimah Azzahroh Indonesia Isofi Laspiriyanti Laura Sari Linda Perdana Wanti Linda Perdana Wanti Livana PH Livana Ph, Livana M. Cholid Mawardi Mardiah, Nurul Aini Nur Wachid Adi Prasetya Oktaviani, Anisa Sevi Oman Somantri Pradani, Restu Ika Verry Verry Wiwit Desi Intarti