Diagnosis of Types of Diseases in Cassava Plant by Bayes Method

Agung Purnomo Sidik

doi:10.15575/join.v4i2.379

Diagnosis of Types of Diseases in Cassava Plant by Bayes Method

Authors

Agung Purnomo Sidik Universitas Pembangunan Panca Budi, Indonesia

DOI:

https://doi.org/10.15575/join.v4i2.379

Keywords:

Expert System, Bayes Method, Cassava

Abstract

This research was conducted to implement the Bayes algorithm in an expert system to diagnose types of diseases in cassava plants. The research data was taken from the Binjai City Agriculture and Fisheries Office in 2018. The expert system was built based on the web, where the application was built using the PHP programming language and MySQL DBMS. The results showed that the Bayes algorithm can be used in expert system applications to diagnose types of cassava plant diseases. In the Bayes algorithm, the knowledge base is taken from the data of the amount of data from cassava plants that suffer from disease, so the results of diagnosing cassava plants are based on existing data. Therefore, the more patient data that is used as a knowledge base, the better the diagnosis results are given.

References

I. Minarni, Warman, and W. Handayani, "Case-Based Reasoning (CBR) pada Sistem Pakar Identifikasi Hama dan Penyakit Tanaman Singkong dalam Usaha Meningkatkan Produktivitas Tanaman Pangan," J. TEKNOIF, vol. 5, no. 1, pp. 41–47, 2017.

A. Barus, V. M., Mesran, M., Suginam, S., & Karim, "Sistem pakar untuk mendiagnosis hama pada tanaman jambu biji menggunakan metode bayes," J. Ilm. INFOTEK, vol. 2, no. 1, 2017.

S. Rahayu, "Sistem pakar untuk mendiagnosa penyakit gagal ginjal dengan menggunakan metode bayes," Pelita Inform. Inf. dan Inform., vol. 4, no. 3, 2013.

H. T. Sihotang, "Perancangan Aplikasi Sistem Pakar Diagnosa Diabetes Dengan Metode Bayes," J. Mantik Penusa, vol. 1, no. 1, 2017.

H. T. Sihotang, "Sistem pakar untuk mendiagnosa penyakit pada tanaman jagung dengan metode bayes," J. Inform. Pelita Nusantara, vol. 3, no. 1, 2018.

H. Sihotang, H. T., Panggabean, E., & Zebua, "Sistem Pakar Mendiagnosa Penyakit Herpes Zoster Dengan Menggunakan Metode Teorema Bayes," J. Inform. Pelita Nusantara, vol. 3, no. 1, 2018.

I. Candra Dewi, A. Andy Soebroto, and M. Tanzil Furqon, "Sistem Pakar Diagnosa Penyakit Sapi Potong Dengan Metode Naive Bayes," J. Enviromental Eng. Sustain. Technol., vol. 2, no. 2, pp. 72–78, 2015.

D. Luciani et al., "Bayes pulmonary embolism assisted diagnosis: A new expert system for clinical use," Emerg. Med. J., vol. 24, no. 3, pp. 157–164, 2007.

L. I. Jin-jua, X. I., & Shu-hongb, "Research on sheep disease diagnostic expert system based on subjective Bayes algorithm with self-learning," J. Hunan Univ. Sci. Technol. (Natural Sci. Ed.), 2009.

A. Sarwar, "abid savar-Intelligent Naïve Bayes Approach to Diagnose-2012.pdf," pp. 14–16, 2012.

P. Soepomo, "Sistem Pakar Untuk Mengidentifikasi Penyakit Udang Galah Dengan Metode Theorema Bayes," Sist. Pakar Untuk Mengidentifikasi Penyakit Udang Galah Dengan Metod. Theorema Bayes, vol. 1, no. 1, pp. 11–20, 2013.

S. Winiarti, "JURNAL INFORMATIKA Vol 2, No. 2, Juli 2008," Pemanfaat. Teorema Bayes Dalam Penentuan Penyakit THT, vol. 2, no. 2, pp. 209–219, 2008.

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Published

2020-02-14

Issue

Vol. 4 No. 2 (2019)

Section

Article

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