Expert System for Diagnosing Brain Tumors Using the Certainty Factor (CF) Method
DOI:
https://doi.org/10.35870/jtik.v9i3.3825Keywords:
Expert System, Artificial Intelligence, Brain Tumor, Certainty FactorAbstract
The development of computer technology helps many aspects of life. One aspect of life that takes advantage of technological developments is the health sector, in order to solve problems including brain tumors. Brain Tumor Disease is the growth of abnormal cells in or around the brain in an unnatural and uncontrolled manner. Patients with brain tumors continue to increase every year, because the initial symptoms are often underestimated. Therefore created a software that can help diagnose brain tumors using the certainty factor method.
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Abdullah, R., & Fakieh, B. (2020). Health care employees’ perceptions of the use of artificial intelligence applications: survey study. Journal of medical Internet research, 22(5), e17620.
Al Kuwaiti, A., Nazer, K., Al-Reedy, A., Al-Shehri, S., Al-Muhanna, A., Subbarayalu, A. V., ... & Al-Muhanna, F. A. (2023). A review of the role of artificial intelligence in healthcare. Journal of personalized medicine, 13(6), 951.
Albahri, A. S., Duhaim, A. M., Fadhel, M. A., Alnoor, A., Baqer, N. S., Alzubaidi, L., ... & Deveci, M. (2023). A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion. Information Fusion, 96, 156-191.
Altarazi, R. E., Hamad, M. S., Elbanna, R., Elborno, D., & Abu-Naser, S. S. (2023). A CLIPS-based expert system for brain tumor diagnosis.
Arinal, V., & Simarmata, N. I. (2025). Expert System For Diagnosing Brain Tumors Using the Certainty Factor (CF) Method. Repeater: Publikasi Teknik Informatika dan Jaringan, 3(2), 01-07. https://doi.org/10.62951/repeater.v3i2.387.
El-Dahshan, E. S. A., Mohsen, H. M., Revett, K., & Salem, A. B. M. (2014). Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm. Expert systems with Applications, 41(11), 5526-5545. https://doi.org/10.1016/j.eswa.2014.01.021.
Elfira, E., Priharti, W., & Rahmawati, D. (2022). Comparison of GLCM and First Order Feature Extraction Methods for Classification of Mammogram Images. Jurnal Teknokes, 15(4), 197-205.
El-Sayed, A., Mohsen, H. M., Revett, K., & Salem, A. B. M. (2014). Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm. Expert systems with Applications, 41(11), 5526-5545.
Guo, Y., Hao, Z., Zhao, S., Gong, J., & Yang, F. (2020). Artificial intelligence in health care: bibliometric analysis. Journal of medical Internet research, 22(7), e18228.
Husna, J. (2023). Design of a Web-Based Expert System Using Certainty Factors for Internal Disease Diagnosis. Jurnal Inotera, 8(1), 34-42.
Indriani, A. F., Yuni, E. F., & Dwi, J. (2018). Utilization of Certainty Factor Method in Expert System for Diagnosing Diseases in Children. FMIPA UNNES. Semarang.
Kusumawati, R. (2008). Kecerdasan Buatan Manusia (Artificial Intelligence); Teknologi Impian Masa Depan. ULUL ALBAB Jurnal Studi Islam, 9(2), 257-274.
Sharma, M., Savage, C., Nair, M., Larsson, I., Svedberg, P., & Nygren, J. M. (2022). Artificial intelligence applications in health care practice: scoping review. Journal of medical Internet research, 24(10), e40238.
Suparyati, A., Widiastuti, I., Saputro, I. N., & Pambudi, N. A. (2023). The role of artificial intelligence (AI) in vocational education. JIPTEK: Jurnal Ilmiah Pendidikan Teknik dan Kejuruan, 17(1).
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Copyright (c) 2025 Veri Arinal, Nuary Inaldi Simarmata

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