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All Journal Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Dicki Ardiansyah
STMIK Kaputama
Computer Science & IT

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Diagnosa Penyakit Hernia Menggunakan Metode Certainty Factor Dicki Ardiansyah; Akim M. H. Pardede; Hermansyah Sembiring
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 5 (2026): Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i5.1809

Abstract

Hernia is a medical condition that occurs when tissue or an organ protrudes through a defect and can affect individuals of various ages, including infants and children. Hernia in children is generally associated with congenital abnormalities and is most commonly found in the inguinal region. Difficulties in recognizing early symptoms, children's limited ability to communicate their complaints, and differences in healthcare professionals' experience can lead to delays and uncertainty in the diagnostic process. These problems are also encountered at RSU Bidadari Binjai, creating a need for a system that can assist the diagnostic process in a more systematic and consistent manner. This study aims to develop an expert system for diagnosing hernia based on patients' symptoms using the Certainty Factor method. This method is used to determine the level of diagnostic certainty based on a combination of expert confidence values and the symptoms selected by the patient. The developed system provides information regarding the type of hernia and its level of diagnostic certainty based on the calculation results. Based on the test results, the Certainty Factor method successfully determined the level of diagnostic certainty, with the highest result being Inguinal Hernia at 1.0000 or 100.00%. This value indicates a very high level of certainty regarding the diagnosis based on the symptoms entered. Therefore, the developed expert system can assist in the early diagnosis of hernia more quickly, objectively, and consistently, while supporting healthcare professionals in determining further treatment.
Co-Authors Hermansyah Sembiring Pardede, Akim Manaor Hara