Sistem Pakar Diagnosa Penyakit Guillain-Barre Syndrome dengan Menerapkan Algoritma Teorema Bayes

Authors

  • Ita Arfyanti STMIK Widya Cipta Dharma, Samarinda
  • Muhammad Fahmi STMIK Widya Cipta Dharma, Samarinda

DOI:

https://doi.org/10.30865/mib.v7i2.6065

Keywords:

Expert System, Bayes Theorem Algorithm, Disease Guillain-Barre Syndrome

Abstract

One of the diseases of the peripheral nervous system is Guillain-Barre Syndrome, this disease usually affects adults aged 30 years and over but does not rule out the possibility of attacking at various ages. This disease usually occurs in someone who has a deficiency of vitamins including B1, B6, B12 and among those who are addicted to alcohol, exposed to poisons and do too many repetitive movements. There are various kinds of symptoms that mark a patient with Guillain-Barre Syndrome including muscle pain, tingling, difficulty swallowing, difficulty breathing, loss of response to motor movements, increased pulse, indigestion, excessive sweating, unstable blood pressure. Then a study was carried out that utilized an expert system with the Bayes theorem algorithm. This system can make it easier for an expert to diagnose the patient's disease easily and more efficiently with the advantage of not having to meet directly between the patient and the doctor. Based on these problems, the researcher applied the algorithm above to produce a diagnosis with a percentage of the possibility that the patient suffered from this disease based on existing symptom data of 77.2%.

References

D. Daniel and G. Virginia, “IMPLEMENTASI SISTEM PAKAR UNTUK MENDIAGNOSIS PENYAKIT DENGAN GEJALA DEMAM MENGGUNAKAN METODE CERTAINTY FACTOR,†J. Inform., vol. 6, no. 1, Apr. 2010.

F. F. Wahyu, “Guillain-Barré Syndrome : Penyakit Langka Beronset Akut yang Mengancam Nyawa,†Medula, vol. 8, no. 1, pp. 112–116, 2018.

N. Shahrizaila, H. C. Lehmann, and S. Kuwabara, “Guillain-Barré syndrome,†Lancet, vol. 397, no. 10280, pp. 1214–1228, Mar. 2021.

N. Nining, “Literatur Review Karakteristik Pasien Guillain Barre Sindrom,†Dec. 2020.

H. Febriani and H. Wahyudi, “Studi Deskriptif Mengenai Resiliensi pada Pasien Guillain Barre Syndrome di CGC Kota Bandung,†Pros. Psikologi; Vol 4, No 2, Pros. Psikol. (Agustus, 2018); 988-994, Aug. 2018.

M. R. Handoko and N. Neneng, “Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web,†J. Teknol. Dan Sist. Inf., vol. 2, no. 1, pp. 50–58, 2021.

Y. B. Widodo, S. A. Anggraeini, and T. Sutabri, “Perancangan Sistem Pakar Diagnosis Penyakit Diabetes Berbasis Web Menggunakan Algoritma Naive Bayes,†J. Teknol. Inform. dan Komput., vol. 7, no. 1, pp. 112–123, 2021.

D. Puspita, “Penerapan Metode Forward Chaining untuk Sistem Pakar Diagnosa Penyakit Rabies Pada Manusia,†Sains, Apl. Komputasi dan Teknol. Inf., vol. 3, no. 2, pp. 70–77, 2023.

P. Purwadi and A. H. Nasyuha, “Implementasi Teorema Bayes Untuk Diagnosa Penyakit Hawar Daun Bakteri (Kresek) Dan Penyakit Blas Tanaman Padi,†JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 4, p. 777, 2022.

A. Wenda, K. Kraugusteeliana, A. A. Suryanto, S. N. Alam, and K. Suhada, “Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes,†J. MEDIA Inform. BUDIDARMA, vol. 7, no. 1, pp. 82–88, 2023.

F. Bangun, “Sistem Pakar Mendiagnosa Penyakit Tbc Menggunakan Metode Teorema Bayes,†J. Tek. Dan Inform., vol. 6, no. 2, pp. 23–29, 2019.

M. Ramadhan and H. Winata, “Sistem Pakar Mendiagnosa Gangguna Fungsi Kardiovaskular Dengan Metode Theorema Bayes,†Semin. Nas. Sains dan Teknol. Inf., vol. 2, no. 1, Aug. 2019.

N. Sulardi and A. Witanti, “Sistem Pakar Untuk Diagnosis Penyakit Anemia Menggunakan Teorema Bayes,†J. Tek. Inform., vol. 1, no. 1, pp. 19–24, 2020.

R. Rachman, “Sistem Pakar Deteksi Penyakit Refraksi Mata Dengan Metode Teorema Bayes Berbasis Web,†J. Inform., vol. 7, no. 1, pp. 68–76, 2020.

H. Hafizah, tugiono tugiono, and azlan azlan, “Sistem Pakar Untuk Pendiagnosaan Karies Gigi Menggunakan Teorema Bayes,†J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 4, no. 1, pp. 103–111, Feb. 2021.

J. Hutagalung, D. Nofriansyah, and M. A. Syahdian, “Penerimaan Bantuan Pangan Non Tunai ( BPNT ) Menggunakan Metode ARAS,†vol. 6, pp. 198–207, 2022.

J. Perintis et al., “Sistem Pakar Diagnosa Kerusakan Mesin Sepeda Motor Matic Injeksi Berbasis Web Dengan Metode Forward Chaining,†SISITI Semin. Ilm. Sist. Inf. dan Teknol. Inf., vol. 12, no. 1, pp. 425–438, Feb. 2023.

H. Wahyu Putra, G. Widi Nurcahyo, F. Ilmu Komputer, and U. YPTK Padang, “Sistem Pakar Diagnosis Penyakit Ginjal Dengan Metoda Forward Chaining,†vol. 5, no. 1, 2019.

R. Rosnelly, Sistem Pakar: Konsep dan Teori. 2012.

M. Syahrizal and H. Haryati, “Perancangan Aplikasi Sistem Pakar Deteksi Kerusakan Mesin Alat Berat (Beko) Dengan Menerapkan Metode Teorema Bayes,†J. MEDIA Inform. BUDIDARMA, 2018.

M. Zunaidi, U. F. S. S. Pane, and A. H. Nasyuha, “Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang,†J. Media Inform. Budidarma, vol. 5, no. 4, p. 1302, 2021.

Verawaty Monica Barus, M. Mesran, S. Suginam, and A. Karim, “SISTEM PAKAR UNTUK MENDIAGNOSIS HAMA PADA TANAMAN JAMBU BIJI MENGGUNAKAN METODE BAYES,†J. INFOTEK, vol. 2, no. 1, Feb. 2017.

P. S. Ramadhan, “SISTEM PAKAR PENDIAGNOSAAN DERMATITIS IMUN MENGGUNAKAN TEOREMA BAYES,†InfoTekJar(Jurnanl Nas. Inform. dan Teknol. Jaringan), vol. 3, no. 73, pp. 43–48, 2018.

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Published

2023-04-27

Issue

Vol. 7 No. 2 (2023): April 2023

Section

Articles

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