Intelligent System for Diagnosing Infectious Diseases in  Children Using the Certainty Factor and Naive Bayes Methods Based on Android

Authors

  • Ahmad Khomsi Magister Teknik Informatika, Universitas Putra Indonesia "YPTK" Padang
  • Syafri Arlis Magister Teknik Informatika, Universitas Putra Indonesia "YPTK" Padang
  • Sumijan Magister Teknik Informatika, Universitas Putra Indonesia "YPTK" Padang

DOI:

https://doi.org/10.46984/fxfa7415

Keywords:

Health Expert System, Early Detection of Childhood Diseases, Certainty Factor, Naïve Bayes, Android

Abstract

Infectious diseases in children remain a serious health problem due to their high vulnerability resulting from an immune system that is not yet fully developed. Limited access to medical personnel and delays in early detection often result in ineffective treatment. Therefore, this study aims to design and implement an Android-based intelligent system application capable of detecting infectious diseases in children early on by utilizing the Certainty Factor and Naïve Bayes methods. This system is designed as an expert system that mimics the way pediatricians analyze symptoms and determine preliminary diagnoses. The research methods used include collecting disease and symptom data based on the knowledge of pediatric health experts, data analysis, rule base formation, and the design and implementation of an Android-based system. The Certainty Factor method is used to handle the uncertainty of the level of confidence in the symptoms selected by the user, while the Naïve Bayes method is used to calculate the probability of disease based on historical data. The combination of these two methods aims to improve the accuracy and reliability of diagnostic results. The results of the study show that the developed expert system application is capable of providing initial diagnostic information on infectious diseases in children quickly and easily accessible to parents and health workers. This system is expected to be an effective early detection tool, support initial medical decision-making, and contribute to the development of artificial intelligence-based health technology in Indonesia.

References

Pongtambing, Y. S., Makassar, U. N., Hasanuddin, U., & Manapa, E. S. (2023). Sistem Informasi Kesehatan Dan Telemedicine: Narrative Review Yulita Sirinti Pongtambing Eliyah A M Sampetoding. Compromise Journal : Community Proffesional Service Journal, 1(4).

Jessyca Azzahra, & Angga Cipta Narsa. (n.d.). Analisis Karakteristik dan Profil Pengobatan Pasien Demam Berdarah Dengue Anak di Instalasi Rawat Inap Rumah Sakit Samarinda Medika Citra Tahun 2020-2021 Analysis of Characteristics and Medication Profile of Dengue Hemorrhagic Fever Patients in Children at the Inpatient Installation of Samarinda Medika Citra Hospital in 2020-2021 Jessyca Azzahra, Angga Cipta Narsa, Novianty Indjar Gama *. Jurnal Sains Dan Kesehatan (J. Sains Kes.) 2023, 5. https://doi.org/10.25026/jsk

Kurniawati, P., Sukihananto, S., & Atin Amanah, D. (2023). Using Mobile Health Based Expert System In Monitoring Risk Signs Of Pregnancy: Literature Review. Journal of Health and Cardiovascular Nursing, 3(1), 17–27. https://doi.org/10.36082/jhcn.v3i1.998

Nugraha, I. S., Agustin, Y. H., & Rahayu, R. E. G. (2024). Pengembangan Sistem Pakar Diagnosa Kerusakan Motor Injeksi Matic Menggunakan Forward Chaining dan Expert System Development. Jurnal Algoritma, 21(1), 107–118. https://doi.org/10.33364/algoritma/v.21-1.1493

Oktafiani, R., & Witanti, A. (2024). SISTEM PAKAR DETEKSI AWAL STUNTING PADA BALITA MENGGUNAKAN METODE CERTAINTY FACTOR. Technologia : Jurnal Ilmiah, 15(1), 130. https://doi.org/10.31602/tji.v15i1.13675

Pongtambing, Y. S., Makassar, U. N., Hasanuddin, U., & Manapa, E. S. (2023). Sistem Informasi Kesehatan Dan Telemedicine: Narrative Review Yulita Sirinti Pongtambing Eliyah A M Sampetoding. Compromise Journal : Community Proffesional Service Journal, 1(4).

Resnawita Resnawita, & Billy Hendrik. (2023). Sistem Pakar Mendiagnosa Penyakit Rabies Menggunakan Metode Certainty Factor. Jurnal Ilmiah Sistem Informasi Dan Ilmu Komputer, 3(3), 144–153. https://doi.org/10.55606/juisik.v3i3.673

Syahril Dwi Prasetyo, Shofa Shofiah Hilabi, & Fitri Nurapriani. (2023). Analisis Sentimen Relokasi Ibukota Nusantara Menggunakan Algoritma Naïve Bayes dan KNN. Jurnal KomtekInfo, 1–7. https://doi.org/10.35134/komtekinfo.v10i1.330

Udin, F., & Ritiauw, S. P. (2024). SOSIALISASI PENCEGAHAN CACAR AIR PADA ANAK-ANAK DI KELURAHAN HATIVE KECIL ASTER MELALUI VIDEO PEMBELAJARAN. Pattimura Mengabdi : Jurnal Pengabdian Kepada Masyarakat, 1(4), 204–208. https://doi.org/10.30598/pattimura-mengabdi.1.4.204-208

Zulham, M., Saripurna, D., & Siambaton, Mhd. Z. (2023). Aplikasi Diagnosa Penyakit Hepatitis dengan Menggunakan Metode Teorema Bayes dan Certainty Factor. Blend Sains Jurnal Teknik, 2(1), 1–15. https://doi.org/10.56211/blendsains.v2i1.241

Suyantoputri, F., Suyantoputri, F., Umaidah, Y., & Mayasari, R. (2025). SISTEM PAKAR MENDIAGNOSA PENYAKIT GIGI MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEBSITE. Jurnal Informatika Dan Teknik Elektro Terapan, 13(1). https://doi.org/10.23960/jitet.v13i1.5743

Saropah, S., Astuti, R., & Basysyar, F. M. (2023). ALGORITMA NAÏVE BAYES UNTUK MELAKUKAN ANALISA SENTIMEN TERHADAP APLIKASI AXISNET DI GOOGLE PLAY. In Jurnal Mahasiswa Teknik Informatika (Vol. 7, Issue 6).

Wenda, A., Saludin, S., Alam, S. N., Winarno, E., & Mahendika, D. (2023). Penerapan Algoritma Certainty Factor pada Sistem Pakar Diagnosis Penyakit Creutzfeldt-Jakob Disease. JURNAL MEDIA INFORMATIKA BUDIDARMA, 7(2), 626. https://doi.org/10.30865/mib.v7i2.5934

Lasniari, S., Jasril, J., Sanjaya, S., Yanto, F., & Affandes, M. (2022). Pengaruh Hyperparameter Convolutional Neural Network Arsitektur ResNet-50 Pada Klasifikasi Citra Daging Sapi dan Daging Babi. Jurnal Nasional Komputasi Dan Teknologi Informasi (JNKTI), 5(3), 474–481. https://doi.org/10.32672/jnkti.v5i3.4424

Humayrah, U., Sumpala, A. T., Pasrun, Y. P., & Bantun, S. (2023). Sistem Pakar Diagnosis Penyakit Mata Menggunakan Certainty Factor Berbasis Web (Vol. 1, Issue 1).

Downloads

Published

2026-06-30

Issue

Vol. 30 No. 1 (2026): June 2026

Section

Articles

License

Copyright (c) 2026 Ahmad Khomsi, Syafri Arlis, Sumijan

Creative Commons License

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

Authors retain all their rights to the published works, such as (but not limited to) the following rights; Copyright and other proprietary rights relating to the article, such as patent rights, The right to use the substance of the article in own future works, including lectures and books, The right to reproduce the article for own purposes, The right to self-archive the article

How to Cite

“Intelligent System for Diagnosing Infectious Diseases in  Children Using the Certainty Factor and Naive Bayes Methods Based on Android” (2026) Sebatik, 30(1), pp. 136–144. doi:10.46984/fxfa7415.