Expert System for Disease Diagnosis in Pregnant Women Using Backward Chaining Method

Authors

  • Yosefin Caltrin Odelia
  • Patmawati Hasan Universitas Sepuluh Nopember Papua
  • Emy Lenora Tatuhey Universitas Sepuluh Nopember Papua

DOI:

https://doi.org/10.35870/ijsecs.v5i2.4498

Keywords:

Expert System, Pregnant Women, Backward Chaining, Disease Diagnosis, North Jayapura Health Center

Abstract

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

Downloads

Download data is not yet available.

Author Biographies

  • Yosefin Caltrin Odelia

    Informatics Engineering Study Program, Universitas Sepuluh Nopember Papua, Jayapura City, Papua Province, Indonesia

  • Patmawati Hasan, Universitas Sepuluh Nopember Papua

    Informatics Engineering Study Program, Universitas Sepuluh Nopember Papua, Jayapura City, Papua Province, Indonesia

  • Emy Lenora Tatuhey, Universitas Sepuluh Nopember Papua

    Informatics Engineering Study Program, Universitas Sepuluh Nopember Papua, Jayapura City, Papua Province, Indonesia

References

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.

Downloads

Published

2025-08-01

Issue

Section

Articles

How to Cite

Odelia, Y. C., Hasan, P., & Tatuhey, E. L. (2025). Expert System for Disease Diagnosis in Pregnant Women Using Backward Chaining Method. International Journal Software Engineering and Computer Science (IJSECS), 5(2), 820-831. https://doi.org/10.35870/ijsecs.v5i2.4498