Identification And Diagnosis Expert System Design For Oil Plant Disease Using Forward Chaining

Authors

  • Iskandar University of Pembangunan Panca Budi
  • Adyanata Lubis STKIP Rokania
  • Elyandri Prasiwiningrum STKIP Rokania
  • Sabda Maulana STKIP Rokania

DOI:

https://doi.org/10.30606/rjocs.v7i02.2249

Abstract

This research was conducted to create an expert system expert system that can identify and diagnose major diseases of oil palm trees with channing forward method. The system is designed to analyze a disease that can strike at the nursery stage, the plants in the field, both at the stage of immature plantations (TBM) and crop yield (TM). The result of this research is a learning system to provide knowledge regarding the disease of oil crops by utilizing a computer.

References

M. I. Suja’I, K. Rukun, Ridwan, B. H. Hayadi, B. Yanto, and R. D. P. Permatasari, “The Effectiveness of Learning Media Developed with the Kahoot Application on the Subject of Management Information System,” in Journal of Physics: Conference Series, 2019, vol. 1363, no. 1. doi: 10.1088/1742-6596/1363/1/012065.

Y. Wang, C. Liu, and Y. F. Tu, “Factors Affecting the Adoption of AI Based Applications in Higher Education: An Analysis of Teachers Perspectives Using Structural Equation Modeling,” Educational Technology and Society, vol. 24, no. 3, 2021.

I. Someh, B. Wixom, and A. Zutavern, “Overcoming organizational obstacles to artificial intelligence project adoption: Propositions for research,” in Proceedings of the Annual Hawaii International Conference on System Sciences, 2020, vol. 2020-January. doi: 10.24251/hicss.2020.712.

Keith. Darlington, The essence of expert systems. 2000.

B. H. Hayadi et al., “Expert system of quail disease diagnosis using forward chaining method,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 5, no. 1, 2017, doi: 10.11591/ijeecs.v5.i1.pp206-213.

Kusumadewi Sri, Artificial Intelligence (Teknik dan Aplikasinya). 2003.

K. Rukun, B. H. Hayadi, and M. S. Hartawan, “Design and analysis of expert system based on information system to diagnose computer failures using forward chaining method,” International Journal of Engineering and Technology(UAE), vol. 7, no. 3.5 Special Issue 5, 2018.

K. Rukun, B. H. Hayadi, I. Mouludi, A. Lubis, Safril, and Jufri, “Diagnosis of toddler digestion disorder using forward chaining method,” 2017. doi: 10.1109/CITSM.2017.8089230.

J. Bradley and A. Millspaugh, Programming in Visual Basic 2008. 2008.

A. Setiawan, B. Yanto, and K. Yasdomi, “The prototype of decision support system in condition infant detection with Fuzzy Tsukamoto,” International Journal of Health Science and Technology, vol. 1, no. 2, 2019, doi: 10.31101/ijhst.v1i2.1100.

J. Hemanth, M. Bhatia, and O. Geman, Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence. 2020.

U. F. Ahmadi et al., COVID-19: Seribu Satu Wajah, vol. 5, no. 1. 2020.

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Published

2021-07-23

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