SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR

Janner Pelanjani Simamora, Linda Hernike Napitupulu

Abstract


ABSTRACT

 

The major virus is a disease that is often experienced by humans, this disease is a disease caused by mosquito bites. Sometimes not everyone knows the virus caused by mosquitoes, this disease generally attacks children due to imperfect immunity. To be able to find out a virus that is infected by a mosquito, a diagnosis can be made by looking at the symptoms that are felt. The diagnostic process is the first step to knowing a type of disease. In this case, many people experience problems because of the lack of knowledge of various diseases caused by mosquitoes, especially the major virus. So that it is necessary to detect someone who has the disease to immediately handle the disease, so that it does not cause and have fatal consequences later. Expert systems can be a solution to these problems and provide knowledge designed to model problem-solving skills like an expert. Expert systems are built so that they can help the tasks of experts by utilizing the help of systems that have knowledge, without an expert working in that place. Expert systems have several methods that can be implemented in expert systems, and one of them is the certainty factor method. The certainty factor method is a method used to prove the uncertainty of a fact based on metrics and symptoms that occur

 

Keywords: Expert System, Diagnosis, Virus, Mayora, Certainty Factor


Full Text:

PDF

References


DAFTAR PUSTAKA

Agustina, D., Mustafidah, H., & Purbowati, M. R. (2016). Sistem Pakar Diagnosa Penyakit Kulit Akibat Infeksi Jamur ( Expert System to Diagnose of Skin Disease Due to Fungal Infections ). Juita Issn: 2086-9398, IV(2), 67–77.

Aji, A. H., Furqon, M. T., & Widodo, A. W. (2018). Sistem Pakar Diagnosa Penyakit Ibu Hamil Menggunakan Metode Certainty Factor ( CF ). Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 3(5), 2127–2134. http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1556

Nurhena, S., Hasibuan, N. A., & Ulfa, K. (2018). Sistem Pakar Mendiagnosa Virus Mayora Dengan Metode Variable Centered Intelligent Rule System (Vcirs). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1), 109–115. https://doi.org/10.30865/komik.v2i1.916

Rahmawati, E. (2016). Sistem Pakar Diagnosis Penyakit Paru-Paru Menggunakan Metode Forward Chaining. Jurnal Teknik Elektro, 8(2), 64–69. https://doi.org/10.15294/jte.v8i2.7436

Rahmi Ras, F., Nelly Astuti, H., & Efori, B. (2017). Perancangan Sistem Pakar Diagnosa Penyakit Asidosis Tubulus Renalis Menggunakan Metode Certainty Factor Dengan Penelusuran Forward Chaining. Media Informatika Budidarma, 1(1), 13–16.

Ritonga, E. R., & Irawan, M. D. (2017). Sistem Pakar Diagnosa Penyakit Paru-Paru. Journal Of Computer Engineering, System And Science, 2(1), 39–47. https://doi.org/https://doi.org/10.24114/cess.v2i1.7179

Septiana, L. (2016). Perancangan Sistem Pakar Diagnosa Penyakit Ispa Dengan Metode Certainty Factor Berbasis Android. None, 13(2), 1–7.

Setyaputri, K. E., Fadlil, A., & Sunardi, S. (2018). Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT. Jurnal Teknik Elektro, 10(1), 30–35. https://doi.org/10.15294/jte.v10i1.14031

SIHOTANG, H. T. (2019). Perancangan Aplikasi Sistem Pakar Diagnosa Diabetes Dengan Metode Bayes. 1(1), 36–41. https://doi.org/10.31227/osf.io/znj3r

Syahputra, G. R., Irsan, M., & Harsadi, I. (2020). Sistem Pakar Diagnosa Penyakit Aedes Aegypti Berbasis Web. JIMTEK : Jurnal Ilmiah Mahasiswa Fakultas Teknik, 1, 55–59.


Refbacks

  • There are currently no refbacks.