Web-Based Expert System for Diagnosing Pregnancy Disease Risk in Pregnant Women Using the Certainty Factor Method

Authors

  • Winarningsih Julianti Fakultas Sains dan Teknologi, Universitas Cipasung, Jawa Barat, Indonesia
  • N. Nelis Febriani SM Fakultas Sains dan Teknologi, Universitas Cipasung, Jawa Barat, Indonesia https://orcid.org/0000-0003-0873-7720

DOI:

https://doi.org/10.51903/yjn52668

Keywords:

Expert system, Pregnancy Risk, We-based, Certainty Factor, Diagnosis

Abstract

The Maternal Mortality Rate (MMR) in Indonesia remains relatively high, partly due to delayed pregnancy risk detection and limited access to healthcare services. This study aims to develop a web-based expert system for early pregnancy risk detection using the Certainty Factor (CF) method. System development employed the Expert System Development Life Cycle (ESDLC) framework, supported by Unified Modeling Language (UML) for system modeling. Research data were collected through interviews with midwives and literature studies covering clinical symptoms, maternal risk categories, and diagnostic rules. The system integrates early risk detection, initial treatment recommendations, automatic notifications to midwives for high-risk or emergency conditions, and printable consultation results to support further medical examinations. Testing through manual calculation simulations demonstrated a confidence level of up to 93.38%, indicating the system's ability to identify pregnancy risks based on established diagnostic rules. The main contribution of this research is the implementation of the CF method in a web-based expert system that combines early risk assessment, health education, and digital communication with healthcare professionals. This integration is expected to support faster, more structured pregnancy risk identification and facilitate timely medical responses at primary healthcare facilities, while serving as a supplementary tool rather than replacing professional medical diagnosis.

References

[1] N. Yasmin, Y. Yuhandri, and G. W. Nurcahyo, “Analisis Metode Forward Chaining dan Certainty Factor untuk Diagnosa Penyakit pada Ibu Hamil,” Bull. Comput. Sci. Res., vol. 5, no. 5, pp. 1195–1202, 2025, doi: 10.47065/bulletincsr.v5i5.756.

[2] E. F. Wati, E. Sunita Perangin-Angin, and B. Sudrajat, “Pregnancy Disease Diagnostic Expert System with Certainty Factor Method,” Int. J. Inf. Syst. Technol. Akreditasi, vol. 6, no. 158, pp. 754–760, 2023.

[3] S. Nasional, T. Elektro, S. Informasi, and T. Informatika, “Penerapan Sistem Pakar menggunakan Metode,” pp. 416–422, 2023.

[4] S. S. Sundari, S. Sarmidi, and A. F. Nuraropah, “Sistem Pakar Diagnosis Penyakit Gangguan Kehamilan Menggunakan Metode Forward Chaining dan Certainty Factor Berbasis Web,” It (Informatic Tech. J., vol. 9, no. 2, p. 164, 2021, doi: 10.22303/it.9.2.2021.164-175.

[5] D. Purnawan, J. E. Hutagalung, and S. R. M. Azmi, “Penerapan Metode Certainty Factor dalam Mendiagnosa Penyakit Kehamilan Berbasis Web,” Build. Informatics, Technol. Sci., vol. 4, no. 2, pp. 614–623, 2022, doi: 10.47065/bits.v4i2.2039.

[6] R. H. Pratama, Juhartini, and B. Imran, “Sistem Pakar Diagnosa Penyakit pada Ayam menggunakan Metode Certainty Factor,” J. Kecerdasan Buatan dan Teknol. Inf., vol. 2, no. 2, pp. 106–114, 2023, doi: 10.69916/jkbti.v2i2.25.

[7] A. Wahyu Widodo Aryu Hanifah Aji , M.Tanzil Furqon, “Sistem Pakar Diagnosa Penyakit Ibu Hamil menggunakan Metode Certainty,” J. Pengemb. Teknol. Inf., vol. 2, no. 5, pp. 2127–2134, 2022, [Online]. Available: http://j-ptiik.ub.ac.id

[8] Arief and B. Hasbiyanor, “Sistem Pakar Deteksi Dini Masalah Kesehatan Ibu Hamil menggunakan Metode Certainty Factor (Cf),” J. Teknol. Inf., vol. 1, no. 5, 2022, doi: 10.20527/bti.v8i2.2343.

[9] A. B. Hasbiyanor, “Sistem Pakar Diagnosa Keluhan Selama Masa Kehamilan menggunakan Metode Certainty Factor Berbasis Web,” Jutisi, vol. 6, no. 1, pp. 1311–1448, 2017, doi: 10.20527/bti.v8i2.2343.

[10] T. Hidayat and N. Ramsari, “Sistem Pakar Diagnosa Awal Penyakit Ginjal menggunakan Metode Forward Chaining: Expert System for Early Diagnosis of Kidney Disease using Forward Chaining,” Indones. J. Mach. Learn. Comput. Sci., vol. 3, no. 2, pp. 125–135, 2023.

[11] A. Ismono, “Penerapan Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit Diabetes Melitus,” J. Comput. Syst. Informatics, vol. 4, no. 1, pp. 1–6, 2022, doi: 10.47065/josyc.v4i1.2465.

[12] S. Wardani, A. Manaor, H. Pardede, and I. G. Prahmana, “Expert System of Disease Diagnosis in,” vol. 3, no. May, pp. 1–23, 2024.

[13] M. Anggita Ratnaningtyas and F. Indrawati, “Karakteristik Ibu Hamil dengan Kejadian Kehamilan Risiko Tinggi,” HIGEIA (Journal Public Heal. Res. Dev., vol. 7, no. 3, p. 334, 2023, doi: https://doi.org/10.15294/higeia/v7i3/64147.

[14] K. H. Hanif, N. R. Muntiari, and P. A. Ramadhani, “Penerapan Metode Certainty Factor untuk Mendiagnosa Penyakit Preekslamsia pada Ibu Hamil dengan Menggunakan Bahasa Pemrograman Python,” Insect (Informatics Secur. J. Tek. Inform., vol. 7, no. 2, pp. 63–71, 2022, doi: 10.33506/insect.v7i2.1818.

[15] A. Lena, I. Denni, and D. D. Bhakti, “Pengembangan Sistem Pakar BK Berbasis Web: Analisis Kebutuhan dan Akuisisi Pengetahuan dengan Metode Forward Chaining,” J. Bimbing. Dan Konseling Ar-Rahman, vol. 11, no. 2, p. 297, 2025, doi: 10.31602/jbkr.v11i2.21174.

[16] D. D. S. Fatimah, Y. Septiana, and G. Ramadhan, “Rancang Bangun Aplikasi Sistem Pakar Diagnosa Penyakit Stunting Berbasis Web Menggunakan Metode Certainty Factor,” J. Algoritm., vol. 19, no. 2, pp. 547–557, 2022, doi: 10.33364/algoritma/v.19-2.1144.

[17] S. D. Pratama, L. Lasimin, and M. N. Dadaprawira, “Pengujian Black Box Testing pada Aplikasi Edu Digital Berbasis Website menggunakan Metode Equivalence dan Boundary Value,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 6, no. 2, p. 560, 2023, doi: 10.53513/jsk.v6i2.8166.

[18] M. Zen, Irwan, Hafni, and M. D. P. Ananda, “Implementasi dan Pengujian Menggunakan Metode BlackBox Testing Pada Sistem Informasi Tracer Study,” Bull. Comput. Sci. Res., vol. 4, no. 4, pp. 327–340, 2024, doi: 10.47065/bulletincsr.v4i4.359.

[19] M. A. Khair, P. Aldiyuda, N. Enjelina P, M. Z. Zukhrufa, and M. Adrezo, “Perancangan Sistem Absensi Mahasiswa Berbasis Face Recognition di Lingkungan UPN Veteran Jakarta,” Inform. J. Ilmu Komput., vol. 20, no. 1, pp. 35–42, 2024, doi: 10.52958/iftk.v20i1.6696.

[20] A. Patappari and N. Muhlisa, “Sistem Informasi Persediaan Barang Berbasis Web pada Toko Throve Store Soppeng,” J. Ilm. Sist. Inf. dan Tek. Inform., vol. 6, no. 1, pp. 1–8, 2023, doi: 10.57093/jisti.v6i1.142.

[21] K. S. Murni, A. T. Sumpala, and Y. P. Pasrun, “Penerapan Metode Certainty Factor pada Sistem Pakar Mendiagnosis Penyakit Kehamilan Berbasis Web,” Pros. Semin. Nas. Pemanfaat. Sains dan Teknol. Inf., vol. 1, no. 1, pp. 307–316, 2023, [Online]. Available: https://epublikasi.digitallinnovation.com/index.php/sempatin/article/view/71

[22] Ismail Ismail, Asni Asni, and Sagenawati Sagenawati, “Sistem Pakar Diagnosa Penyakit Ganguan Kehamilan Menggunakan Metode Berbasis WEB,” J. Ilm. Sist. Inf. dan Ilmu Komput., vol. 5, no. 3, pp. 620–637, 2025, doi: 10.55606/juisik.v5i3.1791.

[23] L. Sabda Lesmana, “Aplikasi Sistem Pakar Diagnosa Gejala Penyakit Ibu Hamil Berdasarkan Keluhan Berbasis Web,” JOISIE J. Inf. Syst. Informatics Eng., vol. 4, no. Desember, pp. 62–69, 2020.

[24] Y. Maulina, A. Gunaryati, and R. T. Aldisa, “Sistem Pakar Diagnosis Awal Penyakit Anemia menggunakan Metode Naïve Bayes dan Certainty Factor,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 8, no. 1, p. 110, 2023, doi: 10.30998/string.v8i1.16468.

[25] R. Agusli, F. Saputra, and M. Iqbal, “Sistem-Pakar-Diagnosa-Penyakit-Pada-Ibu,” Acad. J. Comput. Sci. Res., vol. 2, no. 1, pp. 37–45, 2020.

[26] N. N. Febriani, D. R. Nursamsi, M. Maharani, and D. Junior, “Sistem Pakar Deteksi Dini Penyakit Sepsis Neonatal pada Bayi Baru Lahir menggunakan Metode Certainty Factor dan Forward Chaining,” vol. 18, no. 1, 2026.

Downloads

Published

2026-10-28

Issue

Vol. 5 No. 3 (2026): November

Section

Web-Based Information Systems and Knowledge-Based Systems

License

Copyright (c) 2026 Winarningsih Julianti, N. Nelis Febriani SM

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All articles published in this journal are open access and licensed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

Under this license:

  • Authors retain copyright of their work.

  • Others are free to:

    • Share — copy and redistribute the material in any medium or format;

    • Adapt — remix, transform, and build upon the material for any purpose, even commercially;

  • As long as they:

    • Give appropriate credit to the original author(s) and the source;

    • Provide a link to the license;

    • Indicate if changes were made;

    • Distribute their contributions under the same license as the original.

This ensures that derivative works will also remain free and open under the same terms.