E-Diagnostic Early Detection of Pulmonary Tuberculosis Disease Using Certainty Factor Method

Dina Aulia Arsyika; Firahmi Rizky; Hevlie Winda Nazry S; Amin Harahap

doi:10.55227/ijhet.v3i5.249

Authors

Dina Aulia Arsyika Information Systems Study Program, Faculty of Computer Science and Information Technology, Universitas Muhammadiyah Sumatera Utara
Firahmi Rizky ) Information Systems Study Program, Faculty of Computer Science and Information Technology, Universitas Muhammadiyah Sumatera Utara
Hevlie Winda Nazry S Data Science Study Program, Faculty of Computer Science and Information Technology, Universitas Muhammadiyah Sumatera Utara
Amin Harahap Study Program Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Labuhanbatu

DOI:

https://doi.org/10.55227/ijhet.v3i5.249

Keywords:

Expert system, Pulmonary Tuberculosis, Certainty Factor

Abstract

Currently, technological developments are very rapid, this development has brought significant changes to the role and function of computer technology. Pulmonary Tuberculosis Pelnylakit is an infectious disease caused by the infectious bacterium Mylcobactelrium Tubelculosis. The Mellati Community Health Center is one of the Mellati Community Health Centers which provides early detection services for pulmonary tuberculosis patients in the Pelrbaungan District. Pulmonary Tuberculosis disease at the Melati Community Health Center is limited to four with sixteen symptoms. The programming language that will be used is MySQL database and PHP. With this research, the aim is to create a system with accurate results for pulmonary tuberculosis. This expert system uses the certainty factor method and can be used to solve problems regarding pulmonary tuberculosis in patients well. The final result of the diagnosis is in the form of several questions that will be answered by the patient according to the condition they feel.

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References

A.S, S. (2018). Expert System for Diagnosing Employee Work Stress Using Method Cell Factor Web-Based. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

al, K. el. (2019). Design and Construction of Welb-Based Investoryl Information System Using ABC Classification Method. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

Andriani. (2017). Expert System for Diagnosing Work Stress in Employees Using Meltodel Celrtaintyl Felctor Based on Welb. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

Audrilia, B. (2020). Design and Construction of Savings Transaction System for Waste Management Using Simple Additive Weighing (SAW) Method Based on Welb. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

Budi Wijayla, R. T. (2019, Juliesign and Development of Android-Based Expert System Application Using Forward Chaining Method to Diagnose Laptop Hardware Damage. TELKNIKA, 8, 25-35.

Delstriana, T. S. (2020). Design and Construction of Savings Transaction System for Waste Management Using Simple Additive Weighing (SAW) Method Based on Welb. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

Freldonovallel, M. A. (2020). Implementation of Convolutional Neural Network in Image Recognition for Arabic Language Game Development: Android-Based Book Learning (Writing). Thesis. Syarif Hidayatulla Islamic University Jakarta.

Harahap. (2018). Design and Construction of Welb-Based Investoryl Information System Using ABC Classification Method. Thesis. Islamic University of Negeri Syarif Hidayatullah Jakarta.

Hayladi. (2018). Expert System for Diagnosing Pests and Pelnylakit in Rice Plants. Thesis. Tidar University.

Ikhsan Sylamsudin, EL. S. (2022, Delselmbelr). Application of Meltodel Cellulose Factor in Expert System for Diagnosing Pulmonary Tuberculosis (TB) Disease Based on Mobile Welb. JUSIM (Jurnal of Musirawas Information System, 7, 126-135.

Intan Pelrmata Sari, A. P. (2020, Del selm belr). Android-Based Expert System for Diagnosis of Hepatitis Pelnylakit Using Meltodel Celrtaintyl Factor with Forward Chaining Search. Journal of ELdukasi and Peln ellitian Informatika, 6, 393-400.

Junirianto. (2018). Design and Construction of Savings Transaction System for Waste Management Using Simple Additive Weighing (SAW) Method Based on Welb. Thesis. Islamic University of Nelgelri Syarif Hidaylatullah Jakarta.

Nasution, D. A. D. (2024, November). Analysis of the Use of Artificial Intelligence in Preparing Regional Government Financial Reports. In Proceeding of The International Conference on Business and Economics (Vol. 2, No. 2, pp. 274-280).