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All Journal Jurnal Penelitian Rumpun Ilmu Teknik
Astiana Pidi Buka
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Computer Science & IT Engineering

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Rancang Bangun Sistem Pakar untuk Mendiagnosis Penyakit Epilepsi Menggunakan Pendekatan Certainty Factor pada Puskesmas Kabukarudi Astiana Pidi Buka; Andreas Ariyanto Rangga; Maria Wilda Malo
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4330

Abstract

Expert systems are one type of computer technology that is being used by a lot of people in the medical industry to help doctors examine patients. This is being done in an effort to make patient service better now and in the future. An expert system is a computer program that mimics how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.
Co-Authors Andreas Ariyanto Rangga Maria Wilda Malo