Expert System for Diagnosing Liver Disease Using Web-Based Bayes Theorem Method Metode

Sistem Pakar Diagnosa Penyakit Hati Menggunakan Metode Teorema Bayes Berbasis Web

  • Fandy Rachmatulloh Universitas Muhammadiyah Sidoarjo, Indonesia
  • Ade Eviyanti Universitas Muhammadiyah Sidoarjo, Indonesia
Keywords: expert system, liver disease, bayes theorem

Abstract

Many people still do not know the risks, prevention, and treatment solutions related to liver disease. Therefore, many Indonesian people are affected by liver diseases such as hepatitis and other liver diseases because they are not aware of the symptoms they are experiencing. Therefore, this expert system is designed to help diagnose the symptoms experienced by people or patients who have liver disease. With this expert system, it can help overcome delays in handling so that it is not severe later. This expert system is created using the Bayes theorem method where in each symptom there is a probability or possibility which then gets the final result in the form of how big the event occurred. This expert system diagnoses the symptoms selected by the patient. After that, get the value of the possibility of a disease suffered by the patient. The results of this study are to produce an expert system for diagnosing liver disease using the website-based Bayes theorem method. This system can help diagnose a patient’s symptoms quickly and is used anywhere.

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References

Rhyzoma G. R., Nurul Hidayat, Ratih K. D., “Diagnosis Penyakit Hati Menggunakan Metode Naïve Bayes dan Certainty Factor”, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, Vol. 2, No. 11, November 2018. DOI: https://doi.org/10.29207/resti.v2i1.349

Ardi Pujiyanta, Ari Pujiantoro, “Sistem Pakar Penentuan Jenis Penyakit Hati dengan Metode Inferensi Fuzzy Tsukamoto”, Jurnal Informatika, Vol 6, No. 1, Januari 2012.

Hersatoto Listiyono, “Merancang dan Membuat Sistem Pakar”, Jurnal Teknologi Informasi DINAMIK, Vol 8, No. 2, Juli 2008.

Raisa Amanda Putri, M.Ti. “Sistem Pakar”, Program Studi Ilmu Komputer.

Arief K. N., Retantyo Wardoyo, “Sistem Pakar Menggunakan Teorema Bayes untuk Mendiagnosa Penyakit Kehamilan”, Berkala MIPA, Vol. 23, No. 3, September 2013.

Trinanda Syahputra, Muhammad Dahria, Prilla Desila Putri, “Sistem Pakar untuk Mendiagnosa Penyakit Anemia dengan Menggunakan Metode Teorema Bayes”, Jurnal SAINTIKOM Vol. 16, No. 3, September 2017.

Ilham Akhsanu Ridlo, Panduan Pembuatan Flowchart. Surabaya, 2017.

Umi Hanifah, Ronggo Alit, Sugiarto. “Penggunaan Metode Black Box Pada Pengujian Sistem Informasi Surat Keluar Masuk”, SCAN Vol. 11, No. 2, Juni 2016.

Wibisono Sukmo Wardhono, Marji, Lingga Perdana Kusuma, “Evaluasi User Acceptance Augmented Reality Triage Mobile Pada Sistem Kedaruratan Medis”, Seminar Teknologi dan Rekayasa, 2015.

Teri Ade Putra, M.Kom, Pradani Ayu Widya Purnama, M.Kom, “Perancangan Sistem Pakar untuk Mendiagnosa Penyakit Toksoploma pada Wanita Menggunakan Metode Bayes dengan Bahasa Pemrograman PHP dan Database MySQL”, Jurnal & Penelitian Teknik Informatika, Vol. 3, No. 1, Oktober 2018.

Published
2021-06-30
How to Cite
[1]
Fandy Rachmatulloh and Ade Eviyanti, “Expert System for Diagnosing Liver Disease Using Web-Based Bayes Theorem Method Metode”, PELS, vol. 1, no. 2, Jun. 2021.