Rancang Bangun Sistem Pakar untuk Diagnosa Penyakit Mulut dengan Menggunakan Teorema Bayes Berbasis Android

Authors

  • Muhammad Iiqbal Panjaitan Universitas Imelda Medan
  • Elvika Rahmi Universitas Imelda Medan

DOI:

https://doi.org/10.54367/means.v5i2.993

Keywords:

The lack of knowledge of oral health and limited sources of information causes low public awareness of oral health and also causes people to be reluctant to have their oral health checked by a doctor due to the high cost of consultation. The expert system

Abstract

The lack of knowledge of oral health and limited sources of information causes low public awareness of oral health and also causes people to be reluctant to have their oral health checked by a doctor due to the high cost of consultation. The expert system for diagnosing oral diseases is expected to provide knowledge about the diagnosis of oral diseases, provide media for consultation on diseases of the mouth and reduce the number of consultation costs. Expert system (expert system) is a system with working principles by trying and adopting knowledge that is owned by humans and transferred to the computer, so that the computer can solve problems as usually done by experts. Bayes' Theorem is a way of finding conditional probabilities. Conditional probability is the probability of an event occurring, given that it has some relationship with one or more other events. This expert system application uses Android as the operating system. The Android-based operating system is an operating system that is open source so that it is easy to develop and optimize. The results of this study are an expert system application that can provide knowledge about the diagnosis of oral diseases, becoming a medium for consultation on oral diseases.

Author Biographies

Muhammad Iiqbal Panjaitan, Universitas Imelda Medan

Program studi manajemen informatika

Elvika Rahmi, Universitas Imelda Medan

Komputer Akuntasi

References

Riset Kesehatan Dasar (Riskesdas). 2018. Badan Penelitian dan Pengembangan Kesehatan Kementerian RI tahun 2018. https://www.kemkes.go.id/resources/download/infoterkini/materi_rakorpop_2018/Hasil%20Riskesdas%202018.pdf – Diakses Agustus 2020.

R. Pattman, M. Snow, P. Handy, K. N. Sankar, and B. Elawad, Ulcerative conditions, 6th ed. San Francisco, California: ELSEVIER, 2005.

F. F. Rohman and A. Fauzijah, “Rancang

Bangun Aplikasi Sistem Pakar untuk Menentukan Jenis Gangguan Perkembangan pada Anak,†Media Inform., 2017.

M. Marlina, W. Saputra, B. Mulyadi, B. Hayati, and J. Jaroji, “Aplikasi sistem pakar diagnosis penyakit ispa berbasis speech recognition menggunakan metode naive bayes classifier,†Digit. Zo. J. Teknol. Inf. dan Komun., 2017.

A. W. Ganda Anggara, Gede Pramayu, “Membangun sistem pakar menggunakan teorema bayes untuk mendiagnosa penyakit paru-paru,†Semin. Nas. Teknol. Inf. dan Multimed.2016, 2016.

S. Syarli and A. A. Muin, “Metode Naïve Bayes Untuk Prediksi Kelulusan (Studi Kasus : Data Mahasiswa Baru Perguruan Tinggi),†J. Ilm. Ilmu Komput., 2016.

B. A. Muktamar, N. A. Setiawan, and T. B. Adji, “Analisis Perbandingan Tingkat Akurasi Algoritma Naive Bayes Classifier dengan Correlated-Naive Bayes Classifier,†Semin. Nas. Teknol. Inf. dan Multimed. 2015, 2015

Published

2020-12-08

How to Cite

Panjaitan, M. I., & Rahmi, E. (2020). Rancang Bangun Sistem Pakar untuk Diagnosa Penyakit Mulut dengan Menggunakan Teorema Bayes Berbasis Android. MEANS (Media Informasi Analisa Dan Sistem), 5(2), 169–175. https://doi.org/10.54367/means.v5i2.993

Issue

Section

Daftar Artikel

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.