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All Journal Teknika ELEKTRO SAMUDERA RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Techno Nusa Mandiri : Journal of Computing and Information Technology METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science Jurnal Vokasi JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Ners Jurnal Tekinkom (Teknik Informasi dan Komputer) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) International Journal of Engineering, Science and Information Technology International Journal of Research in Vocational Studies (IJRVOCAS) TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Journal of Mathematics Instruction, Social Research and Opinion Journal of Advanced Computer Knowledge and Algorithms Jurnal Solusi Masyarakat Dikara INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) ITEJ (Information Technology Engineering Journals)
Eva Darnila
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Social Sciences Transportation Other

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Journal : building of informatics technology and science

 1 
Development of an Expert System to Detect Mental Disorders in Pregnant Women using Forward and Backward Chaining Methods Dela, Monisa; Darnila, Eva; Rosnita, Lidya
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7930

Abstract

Mental health during pregnancy plays a critical role in fetal development and maternal well-being. However, psychological conditions such as depression, stress, and anxiety in pregnant women often go undetected, especially in primary healthcare settings. This research aims to design and develop a web-based expert system capable of diagnosing the mental health conditions of pregnant women using Forward Chaining and Backward Chaining inference techniques. Forward Chaining is applied to infer possible conditions based on reported symptoms, while Backward Chaining is used to validate hypotheses by tracing required supporting symptoms. The system was developed using patient data collected from three health centers in Lhokseumawe City, totaling 500 records with parameters including name, age, gestational age, number of children, and reported complaints. It incorporates 30 symptoms and 9 diagnostic rules to classify the mental condition and its severity.The results indicate that 179 women were diagnosed with depression (mild 107, moderate 33, severe 39), 150 with anxiety (mild 24, moderate 91, severe 35), and 171 with stress (mild 82, moderate 50, severe 39). The system also demonstrates diagnostic probability (e.g., 66.67% in a specific case). Validation using 20 test cases yielded an accuracy of 85%, showing the system performs reliably in aligning symptoms with diagnostic outcomes. This study makes two significant contributions. Practically, it offers a decision-support tool for midwives and general practitioners to perform early mental health screening of pregnant women, especially in regions lacking access to psychiatric specialists. Scientifically, it demonstrates the effectiveness of a hybrid reasoning approach in handling overlapping psychological symptoms and in assessing severity levels, thereby enriching the development of domain-specific expert systems in maternal mental health. In conclusion, this system provides a practical and accessible solution to support early detection and intervention in maternal mental health, ultimately contributing to improved health outcomes for both mothers and their babies.
Co-Authors Ade Muana Husniati Ainol Mardhiah Angaw, Mariance Wulan Asrianda Asrianda Bakti Viyata Sundawa Cindenia Puspasari Cut Agusniar Cut Dewi Aida Soraya Cut Fadhilah Dela, Monisa Dhyra Gibran Alinda Dinata, Rozzy Kesuma Ermatita - Fadisar, Nanda Fadlisyah Fadlisyah Fajriana , Fajriana Fajriana, Fajriana Febrin Aulia Batubara Fuadi, Wahyu Hafiz Al-Kautsar Hafni Hafni Hafni Hafni Harahap, Lina Mardiana Hazmanan Khair Hizamrul jaen Ichsan ilham - sahputra Irhami, Putri Iwan Pahendra jaen, Hizamrul Jannah, Rauzatul Japirman Purba Khainesya Khainesya Khairunnisa Khairunnisa Khalid Mawardi Lidya Rosnita Lina Mardiana Harahap M. Althaf Kiram Mandala, Rizki Maryana Maryana Maryana Maryana Maryana, Maryana Marzuki, Sinambela Mauliza, Mauliza Melly Yani Melly Melly, Melly Yani Melodi, Balqis Muhammad Azmi, Muhammad Muhammad Fikry Muhammad Iqbal Muhammad Iqbal Muhammad Rivai Muhammad Rizki Muhammad Rizki Mukti Qamal Mutammimul Ula Nasution, Tuti Adi Tama Nazimah Nazimah Nazira Nazira Nazira Nazira Nilahayati Nunsina Nunsina, Nunsina Nurahma, Syahfitri Nurdin Nurdin Nurfaiza Nursanti Nursanti Nursanti Nursanti Pane, Syamsul Buchori Ramadani, Suci Rauzatul Jannah Razi, Ar Razif Razif Rina Julita Rini Meiyanti Risawandi, Risawandi Ritonga, Maya Syarah Rozzi Kesuma Dinata Safrizal Safrizal Safwandi Safwandi Salsabila, Cut Syahira Sari Erliani Serlina Serlina Sinambela Marzuki Suci Ramadani Syaiful Bahri Syamsul Buchori Pane Teguh Rahayu TONNI LIMBONG Ulvityatni Wahyu Fuadi Widyana Verawaty Siregar Yaumil Iksan Zahratul Fitri, Zahratul Zara Yunizar