Expert System for Detecting Diseases of Potatoes of Granola Varieties Using Certainty Factor Method
The low productivity of potatoes is caused by many factors, including the very low quality of the seeds used, poor storage, climate, capital, limited farmer knowledge, and attacks by plant-disturbing organisms, especially diseases. Not only that, many farmers are still unfamiliar with the various diseases that can attack potato plants, or their knowledge about potato plant diseases is incomplete. This study aims to design and develop an expert system web-based application technology using the Certainty Factor (CF) method to detect potato disease symptoms. The CF method defines a measure of the capacity of a fact or provision to express the level of an expert's belief in a matter experienced by the concept of belief or trust and distrust or uncertainty contained in the certainty factor. The results showed that the CF method could function optimally in detecting potato plant diseases which can help farmers based on the symptoms that appear with an accuracy value of 94%.
A.W. Saputro et al, "Results of Potato (Solanum Tuberosum, l.) Var. Granola l. (g1) at various Concentrations of Trichoderma sp. And Plant Media", VIGOR: Journal of Tropical and Subtropical Agricultural Sciences, Vol. 4, no. 1, pp. 1-4, 2019.
A.T. Diwa et al, "Potato Cultivation Technical Instructions", Center For Assessment Of Agricultural Technology West Java. 2015.
Sugiharyanto, "Prospects for the Development of Potato Cultivation in Indonesia", Geomedia: Scientific Magazines and Geographical Information, Vol. 6, no 2,pp. 43-52, 2017.
Sahabat, "Granola Potato Cultivation Development",
H.T. Sihotang, "Expert System To Diagnose Cholesterol Disease In Adolescent With Web-Based Certainty Factor (CF) Method", Penusa Mantik Journal, vol. 15 no. 1, pp. 16-23, 2014.
Suharjono, et al, "Implementation of the Certainty Factor Method in Diagnosing Skin Diseases", Journal of Systems and Information Technology (JustIN), vol 4. No 1, pp. 1-5, 2016.
A. Sucipto, et al, "Application of Certainty Factor Method in the Diagnosis of Spinal Nerve Disease". FIFO Scientific Journal, vol. 10 no. 2, pp. 18-26, 2018.
M. Busthomi, et al, "Expert System for Diagnosing Cholesterol in Adolescents with Methods Certainty Factor", vol. 15 No. 1, pp. 23-29, 2020.
A. G. Puteri,; R. M. H. Bhakti, "The Use of Certainty Factor in an Expert System for Diagnosing Acne", Scientific Journal of Intech: Information Technology Journal of UMUS, vol. 1, No. 02, pp. 86–96, 2019.
T.M. Yanti; A. Gunawan, "Expert System Detection Of Elephant Foot Disease Using Certainty Factor Method In The Health Department Of Palembang City", Journal of Information Technology Mura, Vol. 13 no. 2, pp. 85-96, 2021.
H. Sulitiani.; K. Muludi, "Application of Certainty Factor Methods in Detecting Curry Plant Diseasest", Journal of Technology And Vocational Education, Vol. 15, No. 1, pp. 51–59. 2018.
D. Maulina; A.M. Wulanningsih, "Certainty Factor Method In The Application Of Expert Systems Diagnosis Of Child Diseases", Joism : Journal Of Information System Management, Vol. 1, No. 2, pp. 23-32. 2020.
A. Riadi, "Application of the Certainty Factor Method for the Diagnostic Expert System for Diabetes Mellitus in Bumi Panua Hospital, Pohuwato Regency", ILKOM scientific journal, Vol. 9, No. 3, pp. 309-316. 20. 2017.
Y. Nuriantoro, F. Marisa, R. Pahlevi, S. W. Iriananda, and A. Vega, “SISTEM PAKAR DIAGNOSA PENYAKIT PADA BATITA MENGGUNAKAN METODE CERTAINTY FACTOR Yudi,” in PROSIDIA WIDYA SAINTEK, 2022, vol. 01, no. 01, pp. 9–18.
L. Gaol, "Expert System for Detecting Potato Plant Diseases Using the Bayes Method". Journal of Technology and Computer Science Prima (JUTIKOMP), Vol. 1, No. 2, pp. 42–47. 2018.
S.P.G. Widestra, et al, "Potato Plant Disease Diagnosis System Using The K-Nearest Neighbor Method", Journal of Information Technology Development and Computer Science, Vol. 3, No. 4, pp. 4020-4026. 2019
F.P. Putra et al, "Response of Potato (Solanum Tuberosum l.) On Various Cocopeat Medium Thickness And Sundstrom Nutrition Time", Agricultural Scientific Journal, Vol. 15, no. 2, pp. 57-66, 2019.
R.H. Harahap et al, "Increasi in Production of Potato (Solanum Tuberosum L.) Variety of Dayang Sumber Through Aspirin and Cabbage Compost", Agricultural Scientific Journal (JIPERTA), Vol. 3, no. 1, pp. 86-95, 2021.
Copyright (c) 2022 Bonifacius Vicky Indriyono, Moch. Sjamsul Hidajat, Tri Esti Rahayuningtyas, Zudha Pratama, Iffah Irdinawati, Evita Citra Yustiqomah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with International Journal of Artificial Intelligence & Robotics (IJAIR) 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 (CC BY-SA 4.0) that allows others to share the work with an acknowledgment 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 acknowledgment 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.