Sistem Pakar Diagnosa Penyakit Insomnia Sekunder Pada Manusia Menggunakan Metode Dempster-Shafer
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Institusion
STMIK Bumi Gora
Author
Wira Aditya, I Komang
Subject
T Technology (General)
Datestamp
2022-03-08 09:01:33
Abstract :
Secondary insomnia is a sleep disorder that occurs due to other conditions in the human body that can cause humans to have difficulty sleeping. This system was built using the Dempster-Shafer method which is considered capable of solving problems by providing disease probability results with a high confidence value based on the calculation of the expert's confidence value on the symptoms experienced. The purpose of making this expert system is to help both users of secondary insomnia sufferers and doctors in providing diagnostic results in the form of conclusions and trust values from disease diagnoses. Collecting data related to secondary insomnia obtained through interviews with experts and asking for their willingness to give weighting Belief scores for each symptom. This system is based on a website using the PHP and MySQL programming languages. In the testing section, 3 tests were carried out and have given results, namely black box testing with testing by 5 respondents from the Computer Science study program at Bumigora University stating that the system built can work according to its function with 100% conformity, theoretical testing which states that manual calculations is in accordance with system calculations, and accuracy testing with 20 diagnostic cases stated that the system built had an accuracy of 95%. With an accuracy of 95%, it is hoped that it can help in diagnosing secondary insomnia
Secondary insomnia is a sleep disorder that occurs due to other conditions in the human body that can cause humans to have difficulty sleeping. This system was built using the Dempster-Shafer method which is considered capable of solving problems by providing disease probability results with a high confidence value based on the calculation of the expert's confidence value on the symptoms experienced. The purpose of making this expert system is to help both users of secondary insomnia sufferers and doctors in providing diagnostic results in the form of conclusions and trust values from disease diagnoses. Collecting data related to secondary insomnia obtained through interviews with experts and asking for their willingness to give weighting Belief scores for each symptom. This system is based on a website using the PHP and MySQL programming languages. In the testing section, 3 tests were carried out and have given results, namely black box testing with testing by 5 respondents from the Computer Science study program at Bumigora University stating that the system built can work according to its function with 100% conformity, theoretical testing which states that manual calculations is in accordance with system calculations, and accuracy testing with 20 diagnostic cases stated that the system built had an accuracy of 95%. With an accuracy of 95%, it is hoped that it can help in diagnosing secondary insomnia
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