Klasifikasi Tingkat Gangguan Tidur Menggunakan Algoritma Naïve Bayes

Authors

  • Iwan Ady Prabowo STMIK Sinar Nusantara, Indonesia http://orcid.org/0000-0003-1797-0751
  • Dwi Remawati STMIK Sinar Nusantara, Indonesia
  • Aji Pratama Wisnu Wardana STMIK Sinar Nusantara, Indonesia

DOI:

https://doi.org/10.30646/tikomsin.v8i2.519

Abstract

The Sleep disorder sometimes happens to someone unconsciously. Many health worker need a lot of time to detect the cause of sleep disorder, it is because there are some similar type of sleep disorder. The public health center in Karangmalang Sragen is needed a system to help the health workers to analyze the cause of sleep disorders. The aim of this research is to make a system to analyze the cause of sleep disorder by using the Naïve Bayes method. This research is conducted on Integrated Healthcare Center especially for the elderly in kedungwaduk. This research chooses the Naïve Bayes method to analyzing the type of sleep disorder experiences happen by the patient. The types of sleep disorders that used in this study were insomnia, hypersomnia, narcolepsy, sleep terror, disturbed sleep schedules and nightmares. The result in this study is patients can get solution about their sleep disorder, and also it can reduce the bad effect for the patient. The validation result of the Naïve Bayes method showed that 80% data was accuracy and it will be compared between 10 data from diagnostic test and 30 testing data.

Keywords : Sleep disturbance, diagnosis, naïve bayes

References

A. Fadhli Almuiin and Miftachuniam, "Aplikasi penentuan jenis penyakit yang memungkinkan bisa diterapi dengan bawang merah dengan menggunakan metode naïve bayes," Jurnal Ilmiah Teknologi dan Informasi ASIA, pp. 34-44, 2015.

Departemen Kesehatan, Pedoman Penggolongan dan Diagnosis Gangguan Jiwa di Indonesia III, Jakarta: Departemen Kesehatan, 1993.

N. Rifqi, W. Maharani and Shaufiah, Analisis Dan Implementasi Klasifikasi Data Mining Menggunakan Jaringan Syaraf Tiruan Dan Evolution Strategis, Bali: Konferensi Nasional Sistem dan Informatika, 2011.

W. Setiawan and S. Ratnasari, "Sistem Pakar Diagnosa Penyakit Mata Menggunakan Naive Bayes Classifier," Seminar Nasional Sains dan Teknologi, pp. 1-6, 2014.

R. A. Saputra, "Komparasi Algoritma Klasifikasi Data Mining Untuk Memprediksi Penyakit Tuberculosis (Tb):Studi Kasus Puskesmas Karawang Sukabumi," Seminar Nasional Inovasi dan Tren (SNIT), pp. 1-8, 2014.

A. S. Rosa and M. Shalahudin, Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek Edisi Revisi, Informatika, 2018.

Downloads

Additional Files

Published

2020-10-20

Issue

Vol. 8 No. 2 (2020): Jurnal TIKomSiN, Vol.8, No. 2, 2020

Section

Articles

Citation Check

License

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.