Expert System for Disease Diagnosis in Pregnant Women Using Backward Chaining Method
DOI:
https://doi.org/10.35870/ijsecs.v5i2.4498Keywords:
Expert System, Pregnant Women, Backward Chaining, Disease Diagnosis, North Jayapura Health CenterAbstract
Healthcare providers treating pregnant women need reliable tools for accurate disease diagnosis. We created an expert system that assists doctors in identifying illnesses during pregnancy through backward chaining inference methods. The project involved collaboration with medical professionals at North Jayapura Health Center who shared their clinical expertise to develop the system. Our backward chaining method examines patient symptoms by working backward from potential diseases to find diagnostic matches. Through detailed interviews, healthcare professionals contributed their years of experience treating pregnant patients. We transformed their knowledge into diagnostic rules that help the system recommend possible diagnoses based on symptom patterns. The system serves as a decision support tool that helps doctors make quicker, more confident diagnostic choices. Many pregnancy-related diseases share similar symptoms, which can confuse even experienced practitioners. Our tool helps sort through these diagnostic challenges while preserving the doctor's authority in making final decisions. Evaluation showed the expert system significantly improved diagnostic performance in primary care settings. Many healthcare facilities lack access to specialists familiar with pregnancy complications. The system brings expert-level diagnostic knowledge to these underserved areas, improving patient care quality
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Rachmawati, R., Sukma, I., & Gafrun. (2022). Sistem pakar diagnosa penyakit kehamilan menggunakan metode Dempster-Shafer berbasis web. Simtek: Jurnal Sistem Informasi Dan Teknik Komputer, 7(1), 35-45. https://doi.org/10.51876/simtek.v7i1.117
Agave, S., & Ulum, M. B. (2023). Aplikasi sistem pakar untuk diagnosa penyakit ibu hamil menggunakan metode forward chaining berbasis website. Jurnal Komputasi, 11(1), 1-10.
Effendi, H. (2020). Sistem pakar diagnosa penyakit pada ibu hamil. Teknomatika, 10(1), 9-20.
Sobri, S. A., & Noverendi, B. A. (2023). Implementasi sistem pakar diagnosis penyakit pada ibu hamil menggunakan metode naïve Bayes. Journal of Information System Research (JOSH), 4(4), 1245-1252. https://doi.org/10.47065/josh.v4i4.3836
Pratiwi, L., KM, M., Liswanti, M. Y., Nawangsari, H., ST, S., Keb, M., & Ners, H. F. (2022). Anemia pada ibu hamil. CV Jejak (Jejak Publisher).
Rikhiana, E. D., & Fadlil, A. (2013). Implementasi sistem pakar untuk mendiagnosa penyakit dalam pada manusia menggunakan metode Dempster Shafer. Jurnal Sarjana Teknik Informatika, 1(1), 1-10.
Hanif, K. H., Muntiari, N. R., & Ramadhani, P. A. (2022). Penerapan metode certainty factor untuk mendiagnosa penyakit preekslamsia pada ibu hamil dengan menggunakan bahasa pemrograman Python. Insect (Informatics and Security): Jurnal Teknik Informatika, 7(2), 63-71. https://doi.org/10.33506/insect.v7i2.1818
Adhar, D. (2021). Sistem pakar mendiagnosa penyakit pre-eklampsia pada ibu hamil menggunakan metode Dempster-Shafer. JTIK (Jurnal Teknik Informatika Kaputama), 5(2), 130-139. https://doi.org/10.59697/jtik.v5i2.408
Manurung, R. M., Syahra, Y., & Ginting, R. I. (2021). Sistem pakar mendiagnosa penyakit infeksi saluran kemih dengan menggunakan metode teorema Bayes. Jurnal Cyber Tech, 4(5), 1-17. https://doi.org/10.53513/jct.v4i5.3995
Sitohang, N. (2023). Penerapan data mining untuk peringatan dini banjir menggunakan metode klastering K-means. Jurnal Sains Informatika Terapan (JSIT), 2(1), 16-20.
Novita, S., Aspriyono, H., & Elfianty, L. (2023). Sistem pakar identifikasi penyakit hipertensi pada ibu hamil menggunakan metode certainty factor. JUKI: Jurnal Komputer dan Informatika, 5(1), 43-51. https://doi.org/10.53842/juki.v5i1.176
Maulidina, N. (2023). Penggunaan metode Bayes untuk mendiagnosa penyakit diabetes gestasional pada ibu hamil [Undergraduate thesis]. STMIK Kaputama.
Nawangnugraeni, D. A. (2021). Sistem pakar berbasis android untuk diagnosis diabetes melitus dengan metode forward chaining. Komputika: Jurnal Sistem Komputer, 10(1), 19-27. https://doi.org/10.34010/komputika.v10i1.3553
Winarsih, S. S., & Palupi, R. (2020). Perancangan prototipe perangkat lunak expert system dengan metode backward chaining untuk membantu proses pemeriksaan antenatal di tingkat pelayanan dasar. JITU: Journal Informatic Technology And Communication, 4(1), 1-9. https://doi.org/10.36596/jitu.v4i1.226
Rasapta, D. (2023). Analisis metode sistem pakar dengan certainty factor dan algoritma fuzzy untuk mendiagnosa kesehatan kandungan pada ibu hamil. Journal of Research and Publication Innovation, 1(4), 1297-1301.
Wijayana, Y. (2020). Sistem pakar kerusakan hardware komputer dengan metode backward chaining berbasis web. Media Elektrika, 12(2), 99-107. https://doi.org/10.26714/me.v12i2.5359
Maulina, D. (2020). Metode certainty factor dalam penerapan sistem pakar diagnosa penyakit anak. Journal of Information System Management (JOISM), 2(1), 23-32. https://doi.org/10.24076/joism.2020v2i1.171
Stefani, R. (2022). Sistem pakar diagnosa penyakit pada ikan koi menggunakan metode backward chaining. Jurnal Riset Rumpun Ilmu Hewani, 1(2), 16-30. https://doi.org/10.55606/jurrih.v1i2.526
Nasution, M. R., Nasution, K., & Siambaton, M. Z. (2021). Perancangan sistem pakar mendiagnosa penyakit Covid-19 dengan metode backward chaining berbasis online. Buletin Utama Teknik, 16(3), 235-239.
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Copyright (c) 2025 Yosefin Caltrin Odelia, Patmawati Hasan, Emy Lenora Tatuhey

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