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All Journal TATAL Jurnal Surya Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI)
Luqman Assaffat
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Muhammadiyah Semarang Jl. Kasipah no. 12, Semarang 50254
Computer Science & IT Dentistry Education Electrical & Electronics Engineering Medicine & Pharmacology Public Health Other

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Journal : Journal of Intelligent Computing and Health Informatics (JICHI)

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Expert System for Diagnosis Pregnancy Disorders using Forward Chaining Method Based on Android Safitri, Dina; Safuan, Safuan; Assaffat, Luqman
Journal of Intelligent Computing & Health Informatics Vol 4, No 2 (2023): September
Publisher : Universitas Muhammadiyah Semarang Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jichi.v4i2.13013

Abstract

Technology's rapid evolution has extended its impact into the healthcare field, including the development of artificial intelligence-based expert systems designed to streamline the work processes of nurses and obstetricians. In this research, we use the forward chaining method to build an android-based expert system for diagnosing fetal disorders in pregnant women. This system is made for ease of use on mobile devices by targeting pregnant women where this application provides a self-detection mechanism for pregnancy abnormalities. The test results show a high level of respondent satisfaction with this expert system application, with an average score of 90.16%, indicating a strong acceptance of the quality and functionality of the application. It can be concluded that our proposed expert system application shows a positive response from respondents and is considered successful in providing pregnancy diagnosis services independently.
Co-Authors Adinullhaq, Juyus Muhammad Akhmad Fathurrohman Ardhani, Yevi Alviatul Ariyanto, Nova Febrianto Febrianto, Febrianto Ilham, Ahmad Kindarto, Asdani Muhammad Munsarif Muhammad Sam'an Nurmantoro, Irvan Ramadhani, Arfido Safitri, Dina Safuan Safuan