SISTEM PAKAR MENDIAGNOSIS PENYAKIT RHINOSINUSITIS DENGAN MENGGUNAKAN METODE NAÏVE BAYES

  • Muhammad Hafist Khalaf Universitas Dehasen Bengkulu
  • Herlina Latipa Sari Universitas Dehasen Bengkulu
  • Jhoanne Fredricka Universitas Dehasen Bengkulu
Keywords: Expert System, Rhinosinusitis, Naive Bayes Method

Abstract

Rafflesia Hospital Is One Of The Private Public Hospitals In Bengkulu City, And Is Supported By Specialist Doctors And Other Supporting Medical Facilities. One Of Them Is The Rhinosinusitis Service. Rhinosinusitis Is Inflammation Of The Mucosa Or Mucous Membrane Of The Nose And Sinuses. Rhinosinusitis Is Caused By All Conditions That Result In Obstruction Of The Flow Of Mucus From The Sinuses To The Nasal Cavity. Due To The Large Number Of Patients With Rhinosinusitis And Not Being Comparable To The Available Medical Personnel, There Is Limited Time For Patients To Consult And Receive Services At Rafflesia Hospital. The Expert System For Diagnosing Rhinosinusitis Using The Naïve Bayes Method Can Be Accessed Online With Internet Access Via The Web Link Http://Rhinosinusitis.Yms.My.Id/.This Expert System Application Was Created Using The PHP Programming Language And Mysql Database. In The Application, The Naive Bayes Method Has Been Applied Which Is Used To Trace Rhinosinusitis Based On The Symptoms Experienced By The Patient. The System Successfully Displays The Expert System Application Page And Can Assist In Diagnosing Rhinosinusitis, By Providing Consultation Directions Starting From Entering Symptoms To Obtaining Consultation Results And Solutions Provided To Treat The Disease. Based On The Results Of The Tests That Have Been Carried Out, It Can Be Concluded That The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method Is Running Well, As Shown By The Expert System Application For Diagnosing Rhinosinusitis Using The Naive Bayes Method That Can Be Easily Used By Users.

Downloads

Download data is not yet available.

References

[1] Budiman et al, 2021:2, Perancangan Sistem Informasi Nilai Siswa Berbasis Website. Jurnal Kreativitas Mahasiswa Informatika.
[2] Darnila, E et al, 2019:4, Aplikasi Teknologi Sistem Pakar Berbasis Fuzzy Clustering. Medan: Yayasan Kita Menulis.
[3] Hafiz et al, 2018:31, Tulang Berbasis Web Menggunakan. Rekursif.
[4] Haryadi, B, H 2018:2-4, Sistem Pakar Penyelesaian Kasus Menentukan Minat Baca, Kecenderungan, dan Karakter Siswa Dengan Metode Forward Chaining. Yogyakarta: Deepublish.
[5] Hikmah et al, 2017:52, Pemanfaatan Metode Naïve Bayes Classifier Dalam Pembuatan Sistem Pakar Untuk Diagnosa Penyakit Kelamin. Jurnal Energy.
[6] Indrajani, 2018:25, Database Design Theory, Practice, and Case Study. Jakarta: PT. Elex Media Komputindo.
[7] Jannah, M et al, 2019:1, Mahir Bahasa Pemrograman PHP. Jakarta: PT. Elex Media Komputindo.
[8] Kadarsih & Pujianto, D, 2022:2, Step By Step Belajar Database MySQL Untuk Pemula. Tangerang Selatan: Pascal Books.
[9] Kasim, et al, 2020:275, Hubungan Rinosinusitis Kronik Dengan Rinitis Alergi. Jurnal Ilmiah Kesehatan Sandi Husada.
[10] Mandar, R 2017:1, Solusi Tepat Menjadi Pakar Adobe Dreamweaver CS6. Jakarta: PT. Elexmedia Komputindo.
[11] Manurung et al, 2020:16, Perancangan Sistem Informasi Lembaga Kemahasiswaan Universitas Kristen Satya Wacana Salatiga. Jurnal SITECH : Sistem Informasi dan Teknologi.
[12] Rahayu et al, 2022:639, Seorang Laki-Laki Usia 28 Tahun Dengan Rinosinusitis Kronis : Laporan Kasus. Countinuing Medical Education.
[13] Safutri et al, 2020:146, Sistem Pakar Pendeteksi Masalah Pada Hardware Komputer Menggunakan Metode Backward Chaining. Jurnal Kreativitas Mahasiswwa Informatika.
[14] Salman, M 2019:53, Pengembangan Media Pembelajaran Matematika Menggunakan Aplikasi Adobe Dreamweaver Cs6 Dengan Metode Inkuiri Pada Materi Garis Singgung Persekutuan Dua Lingkaran. Delta: Jurnal Ilmiah Pendidikan Matematika.
[15] Silmi et al, 2018:31, Sistem Pakar Berbasis Web Dan Mobile Web Untuk Mendiagnosis Penyakit Darah Pada Manusia Dengan Menggunakan Metode Inferensi Forward Chaining Muhammad. Muhamad Silmih.
[16] Siregar, C et al, 2020:104, Implementasi Metode Naive Bayes Classifier (NBC) Pada Komentar Warga Sekolah Mengenai Pelaksanaan Pembelajaran Jarak Jauh (PJJ). Jurnal Teknologia.
[17] Susana, H 2022:3, Penerapan Model Klasifikasi Metode Naive Bayes Terhadap Penggunaan Akses Internet. Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI).
[18] Sutojo, A 2018, Good Corporate Governance. Jakarta: PT Damar Mulia Pustaka
[19] Yendrianof, D et al, 2022:78, Analisis dan Perancangan Sistem Informasi. Medan: Yayasan Kita Menulis.
Published
2024-04-04
How to Cite
Khalaf, M., Sari, H., & Fredricka, J. (2024). SISTEM PAKAR MENDIAGNOSIS PENYAKIT RHINOSINUSITIS DENGAN MENGGUNAKAN METODE NAÏVE BAYES. JURNAL MEDIA INFOTAMA, 20(1), 86-97. https://doi.org/10.37676/jmi.v20i1.5344
Section
Articles