Expert System to Diagnose Eye Disease Due to Frequently Using Computer with Bayes Theorem Method

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Published: Mar 30, 2022
DOI: https://doi.org/10.35335/idss.v5i1.46
Keywords:
Expert System, Eye Disease, Bayes Theorem
Issue
Vol. 5 No. 1 (2022): March: Intelligent Decision Support System (IDSS)
Section
Articles
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Taozara Laia
STMIK Pelita Nusantara
Penda Sudarto Hasugian
STMIK Pelita Nusantara

Abstract

Eye disease due to frequent use of computers is one of the dangerous diseases in health because if not treated quickly it will result in blindness. These eye diseases can be diagnosed through the symptoms that arise in humans or through their clinical picture, through these symptoms an expert system can be made to make a diagnosis. An expert system is a system that seeks to adopt human knowledge to a computer that is built to solve problems like an expert. The expert system made in carrying out the diagnosis uses the Bayes theorem method to calculate the probability of an event occurring based on the influence obtained from the results of observations and experts. The system was built using PHP and MySQL programming as a database. The method used for tracing is Bayes' theorem. While the results of the diagnosis will inform about the results of the diagnosis containing a list of symptoms entered, information on the results of the rules regarding the eye disease suffered and information about possible treatments that can be carried out as well as treatment solutions.

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How to Cite
Laia, T., & Hasugian, P. S. . (2022). Expert System to Diagnose Eye Disease Due to Frequently Using Computer with Bayes Theorem Method. Journal of Intelligent Decision Support System (IDSS), 5(1), 1-9. https://doi.org/10.35335/idss.v5i1.46
References
Kurniawan, M. B. (2017). SISTEM PAKAR DIAGNOSIS TIPE GANGGUAN JIWA SKIZOFRENIA MENGGUNAKAN METODE TEOREMA BAYES. Universitas Mercu Buana Yogyakarta.
Murni, S., & Riandari, F. (2018). Penerapan Metode Teorema Bayes Pada Sistem Pakar Untuk Mendiagnosa Penyakit Lambung. JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP), 1(2), 166–172.
Priliandita, N. T. (2015). Analisis Faktor Yang Berhubungan Dengan Keluhan Computer Vision Syndrome Pada Operator Komputer Warung Internet Di Kelurahan Sumbersari Kabupaten Jember.
Qamaruzzaman, M. H. (2016). Sistem Pakar Untuk Mendiagnosa Penyakit Mata Pada Manusia Menggunakan Teorema Bayes. IJNS-Indonesian Journal on Networking and Security, 5(4).
Ramadhan, P. S. (2018). Sistem Pakar Pendiagnosaan Dermatitis Imun Menggunakan Teorema Bayes. InfoTekJar: Jurnal Nasional Informatika Dan Teknologi Jaringan, 3(1), 43–48.
Ramadhan, P. S., Kom, M., Pane, U. F. S., & Kom, M. (2018). Mengenal Metode Sistem Pakar. Uwais Inspirasi Indonesia.
Sagat, N. A., & Purnomo, A. S. (2021). Sistem Pakar Diagnosa Penyakit Mata Menggunakan Metode Teorema Bayes. Jurnal Pendidikan Dan Teknologi Indonesia, 1(8), 329–337.
Sihotang, H. T., Panggabean, E., & Zebua, H. (2018). Sistem Pakar Mendiagnosa Penyakit Herpes Zoster Dengan Menggunakan Metode Teorema Bayes. Journal Of Informatic Pelita Nusantara, 3(1).
Siregar, E. T. (2017). Penerapan Teorema Bayes Pada Sistem Pakar Untuk Mengidentifikasi Penyakit Tumbuhan Padi. Seminar Nasional Informatika (SNIf), 1(1), 23–26.
Sulardi, N., & Witanti, A. (2020). Sistem Pakar Untuk Diagnosis Penyakit Anemia Menggunakan Teorema Bayes. Jurnal Teknik Informatika (Jutif), 1(1), 19–24.
Syahputra, T., Dahria, M., & Putri, P. D. (2017). Sistem Pakar Untuk Mendiagnosa Penyakit Anemia Dengan Menggunakan Metode Teorema Bayes. Jurnal SAINTIKOM Vol, 16(3), 284.