Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method

Novianti Puspitasari; Anindita Septirini; Rian Bintang Paripurna; Lalu Delsi Samsumar

doi:10.56873/jitu.6.2.5271

Authors

Novianti Puspitasari Universitas Mulawarman, Samarinda, Indonesia
Anindita Septirini Universitas Mulawarman, Samarinda, Indonesia
Rian Bintang Paripurna Universitas Mulawarman, Samarinda, Indonesia
Lalu Delsi Samsumar Universitas Teknologi Mataram https://orcid.org/0000-0001-8471-6003

DOI:

https://doi.org/10.56873/jitu.6.2.5271

Keywords:

Black Rice; Expert System; Naive Bayes; Pest

Abstract

Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of
80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.

Author Biography

Lalu Delsi Samsumar, Universitas Teknologi Mataram

Teknologi Informasi

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