Expert System for Chili Plants Disease Detection using Certainty Factor Method
Rafi Akbar Widyatama1, Seng Hansun2
1Rafi Akbar Widyatama, Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia.
2Seng Hansun, Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia.
Manuscript received on October 17, 2019. | Revised Manuscript received on 24 October, 2019. | Manuscript published on November 10, 2019. | PP: 1145-1151 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4440119119/2019©BEIESP | DOI: 10.35940/ijitee.A4440.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.
Keywords: Certainty Factor, Chili Plants, Delone and McLean Model, Disease, Expert System
Scope of the Article: Expert System