Design of the expert system to analyze disease in Plant Teak using Forward Chaining

Poningsih Poningsih(1*),


(1) AMIK & STIKOM Tunas Bangsa Pematangsiantar
(*) Corresponding Author

Abstract


Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.


References


Sumijan, Agus Perdana Windarto, Abulwafa Muhammad and Budiharjo, 2016, Implementation of Neural Networks in Predicting theUnderstanding Level of Students Subject, International Journal of Software Engineering and Its Applications Vol. 10, No. 10 (2016), pp. 189-204 http://dx.doi.org/10.14257/ijseia.2016.10.10.18.

H. Chiroma, S. Abdulkareem, A. I. Abubakar and T. Herawan, “Kernel functions for the support vector machine: comparing performances on crude oil price data”, In Recent Advances on Soft Computing and Data Mining, Springer International Publishing, (2014), pp. 273-281.

R. F. Hakim, E. N. Sari and T. Herawan, “Soft Solution of Soft Set Theory for Recommendation in Decision Making”, In Recent Advances on Soft Computing and Data Mining, Springer International Publishing, (2014), pp. 313-324.

A. Lasisi, R. Ghazali and T. Herawan, “Comparative performance analysis of negative selection

algorithm with immune and classification algorithms”, In Recent Advances on Soft Computing and Data Mining, Springer International Publishing, pp. 441 -452.

B. Handaga, T. Herawan and M. M. Deris, “FSSC: An Algorithm for Classifying Numerical Data Using Fuzzy Soft Set Theory”, International Journal of Fuzzy System Applications (IJFSA), vol. 2, no. 4, (2012), pp. 29-46.

T. Herawan, Z. Abdullah, H. Chiroma, E. N. Sari, R. Ghazali and N. M. Nawi, “Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions”, In Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference, IEEE, pp. 1329-1333.

Ma, X., Qin, H., Sulaiman, N., Herawan, T. and Abawajy, J.H., 2014. The parameter reduction of the interval-valued fuzzy soft sets and its related algorithms.IEEE Transactions on Fuzzy Systems, 22(1), pp.57-71.

Yanto, I.T.R., Ismail, M.A. and Herawan, T., 2016. A modified Fuzzy k-Partition based on indiscernibility relation for categorical data clustering. Engineering Applications of Artificial Intelligence, 53, pp.41 -52.

Abubakar, A.I., Zeki, A., Chiroma, H. and Herawan, T., 2014. Investigating Rendering Speed and Download Rate of Three-Dimension (3D) Mobile Map Intended for Navigation Aid Using Genetic Algorithm. In Recent Advances on Soft Computing and Data Mining (pp. 261 -271).Springer International Publishing.

Qin, H., Ma, X., Herawan, T. and Zain, J.M., 2012, May. An improved genetic clustering algorithm for categorical data.In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 100-111).Springer Berlin Heidelberg.

Shah, H., Ghazali, R., Nawi, N.M., Deris, M.M. and Herawan, T., 2013. Global artificial bee colonyLevenberq-Marquardt (GABC-LM) algorithm for classification.International Journal of Applied Evolutionary Computation (IJAEC), 4(3), pp.58-74.

Castaño, B., Moreno, Á .,Carbajo, M. and de Pedro, J., 2008. Artificial Intelligence and Bluetooth Techniques in a Multi-user M-learning Domain.IJCSA, 5(1), pp.1 -13.

Mohammad Mohammadi and Shahram Jafari,2014, An expert system for recommending suitable ornamental fish addition to an aquarium based on aquarium condition, International Journal of advanced studies in Computer Science and Engineering IJASCSE, Volume 3, Issue 2.

Raymond McLeod, Jr. Management Information Systems, Prentice-Hall International, Inc. 1998.

Mahmood Houshmand and Mohammad Daneshvar Kakhki,2007,Presenting a Rule Based Loan Evaluation Expert System, International Conference on Information Technology (ITNG'07),0-7695-2776-0/07 $20.00 © 2007, IEEE.

Sasikumar, M, S Ramani, S Muthu Raman, KSR Anjaneyulu, and R Chandrasekar. 2007. A PracticalIntstemuction to Rule Based Expert. New Delhi: Narosa Publishing House.

Durnkin, John. 1994. Expert system design anddevelopment. New York: Macmillan Publishing

Company.

Liao, Shu-Hsien. 2005. "Expert system methodologies and applications—a decade review from 1995 to 2004." Elsevier 1 -11.

Heri Nurdiyanto, Hermanto Hermanto, “Signature Recognition using Neural Network Probablisitc”, International Journal of Advances in Intelligent Informatics, Vol. 2, Issue 1, pp. 46-53, 2016

Heri Nurdiyanto, Putut Hasto Kuncoro, “Expert System for Measuring the Sugar-content in Sugarcane Using Forward Chaining Method”, ASEAN/Asian Academic Society International Conference Proceeding Series, Vol. 1, Issue 1, pp 79, 2016

Heri Nurdiyanto, Robbi Rahim, “Decision Support System for Electrical Power Selection to Household Users”, International Confrence of Science Infrastructure Technology and Regional Development, Vol.1, issue 1, pp 23, 2017




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