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Erli Sari Harahap
Universitas Budi Darma, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Sistem Pakar Untuk Mendiagnosa Penyakit Syaraf Terjepit Pada Tulang Belakang (HNP) Menerapkan Metode Case Based Reasoning Erli Sari Harahap
Journal of Computer System and Informatics (JoSYC) Vol 1 No 4 (2020): August 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Nucleus hernia (HNP) is a disease that often causes pain in the vertebrae. HNP occurs due to the presence of nucleus pulpus (a filling material in the form of a springy substance such as gell) that comes out of the discus vertebral (spinal joints). Early symptoms of this disease are often not realized by sufferers. As a result of this lack of awareness can actually cause activities to be inhibited. This is because HNP can cause pain in the spine that can affect the pain in the thighs, calves and legs and can even cause spinal deformities. To reduce the risk of this HNP disease, we need an expert system that can help both sufferers and experts in diagnosing the initial symptoms of this disease so that prevention of harmful effects can be done more quickly. In this study, an expert system was made that functions to diagnose the early symptoms of HNP with a case-based reasoning method as an expert system logic that was made. This solution was made because with the help of web technology, patients can easily diagnose the symptoms of HNP anytime and anywhere
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