Expert System for Diagnosing Lipoma Disease in Hospital Patients Latersia Using the Certainty Factor (CF) Method
Keywords:Expert System, Lipoma, Certainty Factor Method, PHP, MySQL
Lipoma disease is a disease characterized by a lump filled with a layer of fat that gradually accumulates under the skin, where this lump is between the skin and the muscle layer. This disease often appears on the neck, back, shoulders, arms, and thighs. In general, fat lumps or lipomas can be said to have slow growth between the skin and muscle layers. People tend to just let the lumps happen to them and think they are just normal lumps, without carrying out further examinations. The queue to see a doctor for further examination is also a factor. Therefore, it is necessary to make efforts so that the public can obtain information and be able to diagnose lipoma early without having to visit a doctor. From the description above, it is the basis for building a system that can provide information on lipoma disease and diagnose lipoma disease early. The system to be built can produce an early diagnosis analysis based on symptoms that are felt like a doctor, this system is commonly called an expert system, to support accuracy in building an expert system a method is needed in the analysis of its completion. One of the methods to be used is Certainty Factor (CF). The CF method is a clinical parameter value given by MYCIN to indicate the level of trust. The php programming language and MySQL database can build a system for diagnosing lipoma disease using the Certainty Factor method. type of lipoma Lipo Sarcoma 42.24%, Spindle cell lipoma, 56.59%, Myxoid liposarcoma 51.36%, Hibernoma 32%, Intramuscular hemangioma 51.48%, Chondroid lipoma 51.48%, Atypical lipoma 24%. From these results it can be said that the greatest confidence value is the type of Spindle cell lipoma disease with a confidence value of 56.59%.
M. Sari and MA Adiguna, "Web-Based Expert System for Diagnosis of Diabetes Mellitus Using the Forward Chaining Method (Case Study: Practice of General Practitioner Dr. TM Ikbal)," OKTAL J. Computer Science. and Sci. , vol. 1, no. 1, 2022.
E. Sitepu, M. Simanjuntak, and H. Khair, "Expert System for Diagnosing Blood Disorders in Humans Using Web-Based Bayes Methods," Tech. Inform. Kaputama , vol. 6, no. 1, 2022.
AW Bangun, K. Erwansyah, and E. Elfritiani, "Expert System for Diagnosing Mastitis Using the Certainty Factor Method," J. Sist. Inf. Triguna Dharma (JURSI TGD) , vol. 1, no. 2, 2022, doi: 10.53513/jursi.v1i2.4910.
R. Rusito and T. W. A. Putra, “Perancangan Sistem Pakar Untuk Mendekteksi Kerusakan Komputer Dengan Metode Certainty Factor,” J. Teknol. Inf. DAN Komun., vol. 13, no. 1, 2022, doi: 10.51903/jtikp.v13i1.307.
Y. A. Yoon, Y. E. Kwon, S. Y. Choi, K. S. Choi, C. H. An, and S. Y. An, “Giant lipoma of the tongue: A case report and review of the literature,” Imaging Sci. Dent., vol. 51, no. 1, 2022, doi: 10.5624/ISD.20210140.
D. Rana, S. Kulkarni, J. Zuberi, and F. Berlin, “Frontal subcutaneous lipoma associated with large interhemispheric lipoma and corpus callosum agenesis,” Radiol. Case Reports, vol. 17, no. 3, 2022, doi: 10.1016/j.radcr.2021.12.016.
M. Gandini, DE Freeman, and G. Giusto, “Hypothesis on the pathophysiology of small intestinal strangulation by a pedunculated lipoma,” Equine Vet. Educ. , vol. 34, no. 4, 2022, doi: 10.1111/eve.13485.
yankes.kemkes.go.id, “https://yankes.kemkes.go.id/view_article/780/lipoma,” 2023. .
MH As'ary, RI Ginting, and MG Suryanata, "Identifying Facial Skin Types in Selection of Skin Care Products Using the Certainty Factor Method," J. Sist. Inf. Triguna Dharma (JURSI TGD) , vol. 1, no. 3, 2022, doi: 10.53513/jursi.v1i3.5115.
L. Meniati, NY Lumban Gaol, and I. Santoso, "Expert System for Diagnosing Cocoa Plant Diseases Using the Certainty Factor Method," J-SISKO TECH (Jurnal Teknol. Sist. Inf. and Sist. Komput. TGD) , vol . 5, no. 1, 2022, doi: 10.53513/jsk.v5i1.4798.
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