PENERAPAN METODE FORWARD CHAINING PADA APLIKASI PENELUSURAN PREDIKSI PENYAKIT KANKER KALENJAR GETAH BENING (LIMFOMA MALIGNA) SEBAGAI MEDIA EDUKASI BAGI MASYARAKAT
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
HARDIYANTI, RINI
Haris, Abdul
Kuswardani, Dwina
Haris, Abdul
Kuswardani, Dwina
Subject
Teknik Informatika
Datestamp
2020-02-11 08:19:07
Abstract :
Lymphatic cancer (malignant lymphoma) is one type of cancer incidence rates continue to rise. WHO estimates about 1.5 million people worldwide currently living with lymphatic cancer and 300,000 people die from the disease each year. Based on data from the National Cancer Registration 1993-1997, lymphatic cancer even occupied 3rd position most to blend the case of men and women. While the survey results that the author did, based on the nine most cancer cases, only 21.9% of people who claimed to know about this type of cancer. This became the foundation made an application that aims to provide education to the community about cancer lymphatic accompanied predicted searches, enabling users to predict their medical condition based on symptoms is entered. The symptoms are then processed using the method on a forward chaining expert system to produce the predicted outcome. Educational results and the predictions are expected to be a reference to the people to control their lifestyle and want to check their cancer probability early. Trial application while an assessment of the expert and the patient had done and got an average rating of 3.97 out of 5, with an index of 1 = very poor, 2 = adequate, 3 = moderate, 4 = good, 5 = very good, so this application is considered optimal in its use.
Lymphatic cancer (malignant lymphoma) is one type of cancer incidence rates continue to rise. WHO estimates about 1.5 million people worldwide currently living with lymphatic cancer and 300,000 people die from the disease each year. Based on data from the National Cancer Registration 1993-1997, lymphatic cancer even occupied 3rd position most to blend the case of men and women. While the survey results that the author did, based on the nine most cancer cases, only 21.9% of people who claimed to know about this type of cancer. This became the foundation made an application that aims to provide education to the community about cancer lymphatic accompanied predicted searches, enabling users to predict their medical condition based on symptoms is entered. The symptoms are then processed using the method on a forward chaining expert system to produce the predicted outcome. Educational results and the predictions are expected to be a reference to the people to control their lifestyle and want to check their cancer probability early. Trial application while an assessment of the expert and the patient had done and got an average rating of 3.97 out of 5, with an index of 1 = very poor, 2 = adequate, 3 = moderate, 4 = good, 5 = very good, so this application is considered optimal in its use.
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