APLIKASI PENERAPAN METODE FORWARD CHAINING UNTUK MENGIDENTIFIKASI PENYAKIT LIMFOMA MALIGNA BERDASARKAN FAKTOR GENETIK DAN RIWAYAT PENYAKIT
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
GYNA, PUSPITASARI
Haris, Abdul
Rusjdi, Darma
Haris, Abdul
Rusjdi, Darma
Subject
Teknik Informatika
Datestamp
2022-09-22 07:11:16
Abstract :
A cancer of the lymph nodes (Lymphoma Maligna) is one of the fastestgrowing cancer. Deaths from this disease is high enough. This is because the symptoms of this disease is like a mild disease so patients who checked him already in an advanced stage. In addition, the lack of education of the community's response to the disease. Previous researchers were able to solve the problem is to make the application expert system that aims to provide education to the community that are capable of generating predictions of cancer lymphoma. However, the application was not optimal for use as one of the five test data generating predictions wrong. This has been the cornerstone of the development of this application with improvements and additions to the knowledge base of factors that affect the disease. Expected with the development of this application is able to provide a more optimal prediction results. Method of forward chaining is able to help in making predictions on expert system to factors that influence as the premise and conclusion prediction results. Based on the results of the assessment of the respondent, this application get an average rating of 4.63 assessment indices with A (5) = very good, B (4) = good, C (3) = moderate, D (2) = pretty, and E (1) = less. Therefore, this application is more optimal for use in generating a prediction of cancer of the lymph glands compared to the application Page that Lymphoma has an average application under 4.
A cancer of the lymph nodes (Lymphoma Maligna) is one of the fastestgrowing cancer. Deaths from this disease is high enough. This is because the symptoms of this disease is like a mild disease so patients who checked him already in an advanced stage. In addition, the lack of education of the community's response to the disease. Previous researchers were able to solve the problem is to make the application expert system that aims to provide education to the community that are capable of generating predictions of cancer lymphoma. However, the application was not optimal for use as one of the five test data generating predictions wrong. This has been the cornerstone of the development of this application with improvements and additions to the knowledge base of factors that affect the disease. Expected with the development of this application is able to provide a more optimal prediction results. Method of forward chaining is able to help in making predictions on expert system to factors that influence as the premise and conclusion prediction results. Based on the results of the assessment of the respondent, this application get an average rating of 4.63 assessment indices with A (5) = very good, B (4) = good, C (3) = moderate, D (2) = pretty, and E (1) = less. Therefore, this application is more optimal for use in generating a prediction of cancer of the lymph glands compared to the application Page that Lymphoma has an average application under 4.
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