Application of Expert System With Forward Chaining Method in Detecting Infectious Diseases in Children

Authors

  • Mauliza Mauliza Medical Education, Faculty of Medicine, Universitas Malikussaleh, Lhokseumawe, Aceh, 24351, Indonesia
  • Mutammimul Ula Department of Information System, Universitas Malikussaleh, Lhokseumawe, Aceh, 24351, Indonesia
  • Ilham Saputra Department of Information System, Universitas Malikussaleh, Lhokseumawe, Aceh, 24351, Indonesia
  • Rosya Afdelina Medical Education, Faculty of Medicine, Universitas Malikussaleh, Lhokseumawe, Aceh, 24351, Indonesia
  • Muhammad Ikhsan Medical Education, Faculty of Medicine, Universitas Malikussaleh, Lhokseumawe, Aceh, 24351, Indonesia

DOI:

https://doi.org/10.35335/midwifery.v10i4.714

Keywords:

Sistem Pakar, Forward Chaining, Penyakit Anak

Abstract

Limited information about infectious diseases, especially diseases in children, is a major problem. The application of an expert system in detecting infectious diseases in children is needed in early detection in diagnosing diseases. The purpose of this study was to determine the diagnosis of infectious diseases in children based on the symptoms of the disease and the results of the diagnosis from the system for recommendations to patients with the type of disease suffered and the solutions provided. The stages of the research are collecting data and information on infectious diseases in children. The second is symptom and rule data collection. The third is making each solution from the types of diseases, and the last step is the solution for preventing infectious diseases in children, which is displayed in the system based on the analysis of disease rules. As for the variables in the application of disease tracing graphs, there are 17 rule graphs in detecting diseases in children. Analysis of the rules in the forward chaining method in disease detection for the types of symptoms of high fever (G001), sore throat and cough (G004), persistent hard cough that begins with a long breath through the mouth (G023), and diarrhea (defecation). watery more than three times per day (G030) Itching (G48), irritable and irritable (G033) The upper right abdominal area will feel pain, especially when pressed (G49). Analysis of each symptom G001, G004, G023, G030, G031, G033, G48, G49, the disease that will be detected is P009, namely Hepatitis A. The results obtained are in accordance with patient input by conducting a search using a rule model that utilizes a trace tree. forward based on tracing pediatric disease diagnoses with existing facts. The results of this study can display the results of diagnosis, disease analysis, solutions, and prevention based on the symptoms of the disease in children.

Downloads

Download data is not yet available.

References

Abu-Naser, S. S., Kashkash, K. A., & Fayyad, M. (2008). Developing an Expert System for Plant Disease Diagnosis. Journal of Artificial Intelligence, 1(2), 78–85. https://doi.org/10.3923/jai.2008.78.85
Belachew, E. B., & Tamiru, H. K. (2019). Chronic Kidney Disease Diagnosis Model Based on Case Based Reasoning. International Journal of Engineering and Advanced Technology, 9(2), 2738–2743. https://doi.org/10.35940/ijeat.B3624.129219
Dicki Alamsyah, A. P. (2019). Sistem Pakar Diagnosa Penyakit Ginjal Menggunakan Metode Forward Chaining Berbasis Android. International Journal of Artificial Intelligence, 6(1), 53–74. https://doi.org/10.36079/lamintang.ijai-0601.32
Husin, A., Faren, M. P., & Usman, U. (2019). Sistem Pakar Pendeteksi Penyakit Berdasarkan Keluhan Buang Air Kecil Menggunakan Metode Forward Chaining. Jurnal Ipteks Terapan, 12(4), 277. https://doi.org/10.22216/jit.2018.v12i4.2490
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
Muntari, S., & Gusmaliza, D. (2021). PENERAPAN METODE CERTAINTY FACTOR UNTUK MENDIAGNOSA PENYAKIT MENULAR PADA BALITA. Jurnal Ilmiah Teknosains, 7(2/Nov), 88–94. https://doi.org/10.26877/jitek.v7i2/Nov.9886
Novaliendry, D., Yang, C.-H., & Denno Guara Labukti, A. Y. (2015). The expert system application for diagnosing human vitamin deficiency through forward chaining method. 2015 International Conference on Information and Communication Technology Convergence (ICTC), 53–58. https://doi.org/10.1109/ICTC.2015.7354493
Pasalli, C. R., Poekoel, V., & Najoan, X. (2016). Sistem Pakar Diagnosa Penyakit Anak Menggunakan Metode Forward Chaining Berbasis Mobile. Jurnal Teknik Informatika, 8(1). https://doi.org/10.35793/jti.7.1.2016.12828
Ramadhan M. (2011). Sistem Pakar Dalam Mengidentifikasi Penyakit Kanker Pada Anak Sejak Dini dan Cara Penanggulangannya. Jurnal SAINTIKOM, 10(2), 125–135.
Rey, E., Mearin, F., Alcedo, J., Ciriza, C., Delgado-Aros, S., Freitas, T., Mascarenhas, M., Mínguez, M., Santos, J., & Serra, J. (2017). Optimizing the Use of Linaclotide in Patients with Constipation-Predominant Irritable Bowel Syndrome: An Expert Consensus Report. Advances in Therapy, 34(3), 587–598. https://doi.org/10.1007/s12325-016-0473-8
Samosir, K., & Yunus, Y. (2020). Identifikasi Sistem Operasi Prosedur Tingkat Penanganan Penyakit pada Anak Balita. Jurnal Informasi Dan Teknologi, 2(2), 36–41. https://doi.org/10.37034/jidt.v2i2.31
Sari, D. P. (2017). Sistem Pakar Untuk Diagnosa Penyakit Anak Yang Didukung Oleh Bahasa Pemograman Visual. Jurnal Sains Dan Informatika, 3(2), 108–117. https://doi.org/10.22216/jsi.v3i2.2791
Sari, M., Defit, S., & Nurcahyo, G. W. (2020). Sistem Pakar Deteksi Penyakit pada Anak Menggunakan Metode Forward Chaining. Jurnal Sistim Informasi Dan Teknologi, 2(4), 130–135. https://doi.org/10.37034/jsisfotek.v2i4.34
Sutojo. (2011). Kecerdasan Buatan. Andi Offset.
Syahputra, M. (2021). Sistem Pakar Metode Case Based Reasoning untuk Mengidentifikasi Penyakit Psoriasis. Jurnal Sistim Informasi Dan Teknologi, 3(1), 20–27. https://doi.org/10.37034/jsisfotek.v3i1.39
Ula, M., Ulva, A. F., Saputra, I., Mauliza, M., & M. (2022). Implementation of Machine Learning Using the K-Nearest Neighbor Classification Model in Diagnosing Malnutrition in Children. MULTICA SCIENCE AND TECHNOLOGY (MST) JOURNAL, 2(1), 94–99. https://doi.org/https://doi.org/10.47002/mst.v2i1.326
Ula et al. (2021). Implementasi Machine Learning Dengan Model Case Based Reasoning Dalam Mendiagnosa Gizi Buruk Pada Anak. Kaputama, 5(2), 333–339. https://doi.org/https://doi.org/10.1234/jik.v5i2.570
Ula, M., & Saputra, I. (2022). Penerapan Model Cased Based Reasoning Dalam Mendeteksi Gejala Kerusakan Mesin Mobil. Jurnal TIKA, 7(2), 197–203. https://doi.org/10.51179/tika.v7i2.1328
Yanto, B. F., Werdiningsih, I., & Purwanti, E. (2017). Aplikasi Sistem Pakar Diagnosa Penyakit Pada Anak Bawah Lima Tahun Menggunakan Metode Forward Chaining. Journal of Information Systems Engineering and Business Intelligence, 3(1), 61. https://doi.org/10.20473/jisebi.3.1.61-67
Yuhandri, R. W. (2014). Pembuatan Sistem Pakar Berbasis Web Untuk Mendiagnosa Penyakitanak. Jurnal KomTekInfo Fakultas Ilmu Komputer, 1(2), 70–76.

Downloads

Published

2022-09-26

How to Cite

Mauliza, M. (2022) “Application of Expert System With Forward Chaining Method in Detecting Infectious Diseases in Children”, Science Midwifery, 10(4), pp. 2777–2785. doi: 10.35335/midwifery.v10i4.714.

Issue

Vol. 10 No. 4 (2022): October: Science Midwifery

Section

Articles