The Use of Naive Bayes for Broiler Digestive Tract Disease Detection
Main Article Content
Abstract
Broiler chicken is a species of chicken that have high productivity. In order to get a good quality of chicken, good treatments of the breeding factors is needed, so the chicken will not easily infected by diseases. Gastrointestinal diseases are common disease that infects chickens. The mortality level caused by gastrointestinal diseases is considered high. This study is designed to address the problem by developing a system using the Naive Bayes algorithm. 60 chicken data samples were used, and the result shows that Naive Bayes might be used to detect gastrointestinal diseases among chickens with accuracy level of 93.3%. The number was confirmed by using confusion matrix evaluation method, and gave same level of accuracy compared to the expert judgments.
Downloads
Article Details
Please find the rights and licenses in the Journal of Information Technology and Computer Engineering (JITCE).
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(s) warrants that the article is original, written by 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 permissions to quote from other sources have been obtained by the author(s).
3. User Rights
JITCE adopts the spirit of open access and open science, which disseminates articles published as free as possible under the Creative Commons license. JITCE permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and JITCE on distributing works in the journal.
4. Rights of Authors
Authors retain 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 future own works, including lectures and books,
- the right to reproduce the article for own purposes,
- the right to self-archive the article.
- 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 (Journal of Information Technology and Computer Engineering).
5. Co-Authorship
If the article was jointly prepared by other authors; upon submitting the article, the author is agreed on this form and warrants that he/she has been authorized by all co-authors on their behalf, and agrees to inform his/her co-authors. JITCE will be freed on any disputes that will occur regarding this issue.
7. Royalties
By submitting the articles, the authors agreed that no fees are payable from JITCE.
8. Miscellaneous
JITCE will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed and JITCE or its sublicensee has become obligated to have the article published. JITCE may adjust the article to a style of punctuation, spelling, capitalization, referencing and usage that it 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.
References
[2]. Informatikalogi. 2017. “Algoritma Naive Bayes” https://informatikalogi.com/algoritma-naive-bayes/. (Diakses pada tanggal 02 Mei 2015)
[3]. Saleh Alfa. 2015. ”Implementasi Metode Klasifikasi Naive Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga”. Citec Jurnal. Vol. 2, No. 3.
[4]. Hermawati Laily. 2012. “Penerapan Algoritma Naive Bayes Untuk Deteksi Bakteri E-Coli”. Jurnal Teknik Unisfat. Vol. 8, No. 1, Hal. 17-23.
[5]. Syarifudin Achmad, Hidayat Nurul & Fanani Lutfi. 2017. “Sistem Pakar Diagnosis Pada Tanaman Jagung Menggunakan metode Naive Bayes Berbasis Android”. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer. Vol. 2, No. 7, Hal. 2738-2744.
[6]. Sulaksono Juli & Darsono. 2015. “Sistem Pakar Penentuan Penyakit Gagal Jantung Menggunakan Metode Naive Bayes Classifier”. Seminar Nasional Teknologi Informasi Dan Multimedia 2015. ISSN : 2302-3805.
[7]. Ginting Garuda, Tarigan S. H. Siska, & Fadlina. 2017. “Sistem Pakar Mendiagnosa Penyakit Gumboro Pada Ayam Broiler Dengan Metode Certainty Factor”. Media Informatika Budidarma. Vol. 1, No. 2, Hal. 54-57.
[8]. Sandjaja Andry, Emanuel W. H. Andi, & Wijianto C. Maresha. “Sistem Pakar Deteksi Penyakit Ayam Dengan Media Interaktif”. Seminar Nasional Teknologi Informasi Dan Komunikasi. ISSN : 2089-9815.
[9]. Setiawan Wahyudi & Ratnasari Sofie. 2014. “Sistem Pakar Diagnosis Penyakit Mata Menggunakan Naive Bayes Classifier”. Seminar Nasional Sains Dan Teknologi, ISSN : 2407-1846.
[10]. Omkicau. 2017. “Budidaya Ayam Ras Pedaging”. https://omkicau.com/berbagai-peluang-usaha-bidang-peternakan-perkebunan/budidaya-ayam-ras-pedaging/. (Diakses pada tanggal 13 Desember 2017)
[11]. Ilmu Ternak. 2016. “Cara Beternak Ayam Pedaging (Broiler) Yang Baik Bagi Pemula”. http://www.ilmuternak.com/2016/05/cara-beternak-ayam-pedaging-broiler-yang-baik-bagi-pemula.html#. (Diakses pada tanggal 13 Desember 2017).
[12]. Info Midion Online. 2011. “Gangguan Pencernaan Akibat Infeksi Bakteri”. http://info.medion.co.id/artikel-broiler/artikel-penyakit/2131-gangguan-pencernaan-akibat-infeksi-bakteri-2.html. (Diakses pada tanggal 13 Desember 2017)