Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naive Bayes

Authors

DOI:

https://doi.org/10.21111/fij.v4i1.3019

Keywords:

Penyakit Gigi, Diagnosa, Sistem Pakar, Probabilitas, Naïve Bayes

Abstract

AbstrakPenyakit yang sering dianggap sepele namun sangat mengganggu adalah penyakit gigi. Umumnya gigi rentan terhadap makanan dan cuaca bila gigi mengalami permasalahan. Dari survey diperoleh sangat minim keinginan penderita sakit gigi berobat ke rumah sakit atau dokter spesialis. Sebuah sistem pakar memperkenalkan implementasi diagnosa penyakit gigi. Sipenderita dapat mengobati sakit gigi dengan arahan dari kommputer (pakar). Pakar sebagai sumber data basis pengetahuan diwakilkan komputer mendiagnosa penyakit. Menurut pakar gigi ada 7 jenis penyakit: Erosi Gigi, Ginggi-vitis, Pulpi-tis, Abses Gigi, Periodo-ntitis, Karies Gigi, Hali-tosis, dan Sindrom Gigi Retak. dengan 37 gejala (dikodekan sesuai kriteria). Dalam Naïve Bayes, pengklasifikasian menggunakan metode probabilitas dan statistik. Perhitungan Naïve Bayes berdasarkan data penyakit dan data gejala dengan variable Data, Hipotesa dan Probabilitas. Hasil dari penelitian ini adalah sebuah diagnosa terhadap penyakit gigi dengan hasil nilai probabilitas tertinggi. Nilai probabilitas dari gejala penyakit gigi diperoleh berdasarkan pengalaman seorang pakar atau dokter gigi. Dari data yang diuji sesuai kasus diketahui probabilitas Penyakit Halitosis adalah yang tertinggi dari penyakit lain yaitu 0.29646 atau 29.64%.Kata kunci: Penyakit Gigi, Diagnosa, Sistem Pakar, Probabilitas, Naïve Bayes Abstract[Expert System for Diagnosing Dental Disease Using Naive Bayes Method] Diseases that are often considered trivial but very disturbing are dental diseases. Generally, teeth are susceptible to food and weather when teeth experience problems. From the survey, it was obtained that there was very little desire for dental pain sufferers to go to hospitals or specialists. An expert system introduces the implementation of dental disease diagnoses. Patients can treat toothache with direction from a computer expert. Experts as knowledge base data sources are represented by computers diagnosing disease. According to dental experts, there are seven types of diseases: Dental Erosion, High-Vitis, Pulpitis, Dental Abscess, Periodonitisitis, Dental Caries, Halitosis, and Cracked Tooth Syndrome. with 37 symptoms (encoded according to criteria). In Naïve Bayes, the classification uses probability and statistical methods. Naïve Bayes calculations are based on disease data and symptom data with variable Data, Hypothesis and Probability. The results of this study are a diagnosis of dental disease with the highest probability value. The probability value of symptoms of dental disease is obtained based on the experience of an expert or dentist. From the data tested according to the case, it is known that the probability of Halitosis is the highest of other diseases, namely 0.29646 or 29.64%.Keywords: Dental Disease, Diagnosis, Expert System, Probability, Naïve Bayes

Author Biography

Anita Sindar Ros Maryana Sinaga, STMIK Pelita Nusantara

ST degree from ST-INTEN Bandung, Indonesia  and obtained M.TI degree from Bina Nusantara University Jakarta, Indonesia. Former Director of NNI Poliprofesi. Former Director of Polytechnic Gihon. Currently as a Lecturer in Informatics Engineering STMIK Penusa. 

References

Hana Maulinda, Ria Arafiyah, Mulyono, Rancang Bangun Sistem Pakar Diagnosa Penyakit Gigi Dan Mulut Menggunakan Metode Forward Chainingdan Naïve Bayes berbasis Web, J-Koma - Jurnal Ilmu Komputer Dan Aplikasi, Vol 1 No 1, hal: 2017.

Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Menggunakan Metode Naïve Bayes – Weighted Product, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, hal. 6952-6958, Vol 2 No 12, 2018.

Ni Kadek Pebriyanti1, Ary Wira Andika, Sistem Pakar Penentuan Tanaman Obat pada Penyakit THT Berbasis Web, Sintech Journal, Vol. 1No 1. Hal: 34-40, April 2018.

Sri Rahayu, Anita Sindar RM Sinaga, Penerapan Metode Naive Bayes Dalam Pemilihan Kualitas Jenis Rumput Taman CV. Rumput Kita Landscape, Jurnal Teknologi Informasi & Komunikasi Digital Zone, Volume 9, Nomor 2, 162-171, November 2018.

Roindah Simalango, Anita Sindar Sinaga, Bayes Diagnosa Penyakit Ikan Hias Air Tawar Dengan Teorema Bayes, Jurnal & Penelitian Teknik Informatika, Volume 3 Nomor 1, hal: 43-50, Oktober 2018.

Astrid Novita Putri, Penerapan Naive Bayesian Untuk Perankingan Kegiatan Di Fakultas Tik Universitas Semarang, Jurnal Simetris, Vol 8 No 2 hal: 603-610, November 2017.

Healtho Brilian Argario, Nurul Hidayat, Ratih Kartika Dewi, Implementasi Metode Naive Bayes Untuk Diagnosis Penyakit Kambing (Studi Kasus : UPTD. Pembibitan Ternak dan Hijauan Makanan Ternak Kec. Singosari Malang), Jurnal Pengembangan Teknologi Informasi dan Ilmu, hlm. 2719-2723, Vol. 2, No. 8, Agustus 2018.

Alfa Sale, Implementasi Metode Klasifikasi Naïve Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga, Citec Journal, Vol. 2, No. 3, hal. 207-217. Mei 2015 –Juli 2015.

Bustami, Penerapan Algoritma Naive Bayes Untuk Mengklasifikasi Data Nasabah Asuransi, Jurnal Informatika Vol. 8, No. 1, hal. 884-989, Januari 2014.

Sigit Riyadi, Penerapan Metode Naive Bayes dalam Pengklasifikasi Trafik Jaringan, Volume 06, Nomor 02, hal. 29-36, Tahun 2016.

Downloads

Submitted

2019-04-13

Published

2019-05-10

Issue

Vol. 4 No. 1 (2019): Mei

Section

Articles

License

Please find the rights and licenses in the Fountain of Informatics Journal (FIJ). By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.

1. License

The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. 

2. Author(s)' Warranties

The author warrants that the article is original, written by the stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author, and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).

3. User/Public Rights

FIJ's spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, FIJ permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and FIJ on distributing works in the journal and other media of publications. Unless otherwise stated, the authors are public entities as soon as their articles got published. 

4. Rights of Authors

Authors retain all their rights to the published works, such as (but not limited to) the following rights;

  • Copyright and other proprietary rights relating to the article, such as patent rights,
  • The right to use the substance of the article in own future works, including lectures and books,
  • The right to reproduce the article for own purposes,
  • The right to self-archive the article (please read out deposit policy),
  • The right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the article's published version (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal (Jurnal Optimasi Sistem Industri).

5. Co-Authorship

If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. FIJ will not be held liable for anything that may arise due to the author(s) internal dispute. FIJ will only communicate with the corresponding author.

6. Royalties

Being an open accessed journal and disseminating articles for free under the Creative Commons license term mentioned, author(s) aware that FIJ entitles the author(s) to no royalties or other fees. 

7. Miscellaneous

FIJ will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. FIJ's editors may modify the article to a style of punctuation, spelling, capitalization, referencing, and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.