Perancangan Sistem Pakar Berbasis Web Untuk Mendiagnosa Penyakit Syaraf Terjepit pada RSUD M. Natsir Kota Solok dengan Metode Certainty Factor

Authors

  • Muhammad Shobri Armadi Universitas Putra Indonesia YPTK Padang
  • Sri Rahmawati Universitas Putra Indonesia YPTK Padang
  • Hezy Kurnia Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.35134/senatkom.v8i1.63

Keywords:

Pinched Nerve Disease, Nucleus Hernias, Diagnosis, Expert Systems, Certainty Factor, Php and MySQL

Abstract

Pinched nerve disease is a condition that presses on a nerve, causing disturbances in the nerve. Neuroscientists often encounter a problem, including the answers stated by the patient in the form of uncertain answers, such as maybe, most likely and almost certainly. The problem in this research is how to produce an expert system that can help diagnose pinched nerve disease and assist a pinched nerve disease specialist in making decisions from the results of the system diagnosis. The aim is to build an expert system that is able to help the diagnosis process of pinched nerve disease, especially for M. Natsir Hospital, Solok City and implement the certainty factor method in overcoming the uncertainty of the diagnosis of a pinched nerve disease expert system. Certainty factor is a method that can show whether a statement is certain or not and is generally used in expert systems. This method is very suitable in expert systems that diagnose something that is not certain. With this pinched nerve expert system, users can handle the problem as early as possible and can prevent it directly without having to consult a doctor, because this expert system provides the final result process in the form of the presentation value of the disease suffered by the patient. With this expert system application, users can obtain information and make it easier for them to recognize the symptoms of a pinched nerve and can consult with the system, get consultation results and solutions related to pinched nerves

References

Harahap, E. S. (2020). Sistem Pakar Untuk Mendiagnosa Penyakit Syaraf Terjepit Pada Tulang Belakang (HNP) Menerapkan Metode Case Based Reasoning. Journal of Computer System and Informatics (JoSYC), 1(4), 352– 357.

. Sarumaha, L., Hermawan, H., & Tampubolon, F. R. (2019). Sistem Pakar Dalam Mendiagnosis Penyakit Monkey Pox Menerapkan Metode Certeinty Factor ( CF ). Sistem Pakar Dalam Mendiagnosis Penyakit Monkey Pox Menerapkan Metode Certeinty Factor ( CF ), 471–475.

Situmeang, N., & Sulindawaty, S. (2019). Sistem Pakar Mendiagnosa Penyakit Saraf Pusat Manusia Dengan Metode Certainty Factor. REMIK (Riset Dan E-Jurnal Manajemen Informatika Komputer), 4(1), 28. https://doi.org/10.33395/remik.v4i1.10224

Hidayat, F. (2020). Konsep Dasar Sistem Informasi Kesehatan. Deepublish. https://books.google.co.id/books?id=dJfwDwAAQBAJ

Hayadi, B. H. (2018). Sistem Pakar. Deepublish. https://books.google.co.id/books?id=rNxiDwAAQBAJ

Parhusip, J., Pranatawijaya, V. H., & Putrisetiani, D. (2017). Sistem Pakar Diagnosa Penyakit Jantung Menggunakan Metode Certainty Factor Berbasis Web. Media Informatika Budidarma (MIB), 1(3), 67–70.

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Published

2023-11-30

How to Cite

Armadi, M. S. ., Rahmawati, S., & Kurnia, H. (2023). Perancangan Sistem Pakar Berbasis Web Untuk Mendiagnosa Penyakit Syaraf Terjepit pada RSUD M. Natsir Kota Solok dengan Metode Certainty Factor. Prosiding Senatkom: Seminar Nasional Dan Peningkatan Kompetensi, 8(1), 42–45. https://doi.org/10.35134/senatkom.v8i1.63

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Articles