Web based expert system for diagnosing disease pest on banana plant

  • Authors

    • Gunawan Budiyanto Amity University Rajasthan, India
    • Sri Ipnuwati Amity Unversity Rajasthan, India
    • Sayyid Azam Al Gifari
    • Miftachul Huda
    • Burhanuddin Jalal
    • Aliza Abdul Latif
    • Andino Maseleno
    • April Lia Hananto
    2018-11-14
    https://doi.org/10.14419/ijet.v7i4.18607
  • Expert System, Fuzzy Logic, Disease, Banana Pest.

  • Abstract

    Development of computer technology inspires the creation of a computer application Expert System in Diagnosing Web-Based Banana Plant Disease. The purpose of this research was to create a computer application that could be used by laymen, either Banana farmer or the general public who wanted to know information about Ambon Banana plant. In this system, the number of the program provided would have given the significant contribution in building the program which may be useful for diagnosing pests and diseases in Banana plants. There were 37 symptoms that resulted in 5 diagnoses caused by pests, namely Leaf Rollers, Uret Beetles, Nematodes, Fruit Scabies and Aphids and produced 4 diagnoses caused by diseases, namely Fusarium Wilt, Bacterial / Blood Disease, Banana Dwarf and Leaf Spots. The programming language used in designing this Expert System was PHP. For data storage, the author used MySQL. The method used to determine the type of pest and disease, the author used fuzzy logic method. While to build this Expert System application, the author used a Web-based application that aimed to make its use wider, so that farmers / the general public do not have to consult with an expert simply by using this application. The results of this application, users will be given a solution about pests or diseases that attack the Ambon Banana plant and how to treat it so that it can overcome pests and diseases early.

     

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      [83] Shankar, K., Lakshmanaprabu, S.K., Gupta, D., Maseleno, A., De Albuquerque, V.H.C., Optimal feature-basedmulti-kernel SVM approach for thyroid disease classification, The Journal of Supercomputing, Springer, Vol. 74, no. 259, 2018, pp. 1-16.

      [84] Amin, M.M., Sutrisman, A., Stiawan, D., Maseleno, A., Design Restful WebService of National Population Database for supporting E-health interoperability service, Journal of Theoretical and Applied Information Technology, vol. 96, issue 15, 2018.

      [85] Surendar, A., Akhmetov, L.G., Ilyashenko, L.K., Maseleno, A., Samavatian, V., Effect of thermal cycle loadings on mechanical properties and thermal conductivity of a porous lead-free solder joint, IEEE Transactions on Components, Packaging, and Manufacturing Technology, 2018, pp. 1769-1776.

      [86] Surendar, A., Samavatian, V., Maseleno, A., Ibatova, A.Z., Samavatian, M., Effect of solder layer thickness of thermo-mechanical reliability of a power electronic system, Journal of Material Science: Materials in Electronics, Springer, September 2018, Volume 29, Issue 17, pp. 15249-15258.

      [87] Samavatian, M., Ilyashenko, L.K., Surendar, A., Maseleno, A., Samavatian, V., Effect of System Design on Fatigue Life of Solder Joints in BGA Packages Under Vibration at Random Frequencies, Journal of Electronic Materials, November 2018, Volume 47, Issue 11, pp. 6781-6790.

      [88] Javanshir, I., Maseleno, A., Tasoujian, S., Oveisi, M., Optimization of suspension system of heavy off-road vehicle for stability enhancement using integrated anti-roll bar and coiling spring mechanism, Journal of Central South University, September 2018, Volume 25, Issue 9, pp 2289–2298.

      [89] Surendar, A., Bozorgian, A., Maseleno, A., Ilyashenko, L.K., Najafi, M., Oxidation of Toxic Gases via Ge-B36N36 and Ge-C72 Nanocages as Potential Calaysts, Inorganic Chemistry Communications, Elsevier, Vol. 96, October 2018, pp. 206-210.

      [90] Namdarian, A., Tabrizi, A.G., Maseleno, A., Mohammadi, A., Mossavifard, S.E., One step synthesis of rGO-Ni3S2 nano-cubes composite for high-performance supercapacitor electrodes, International Journal of Hydrogen Energy, Elsevier, vol. 43, Issue 37, 13 September 2018, pp.17780-17787.

      [91] Zhou, L., Kamyab, H., Surendar, A., Maseleno, A., Ibatova, A.G., Chelliapan, S., Karachi, N., Parsaee, Z., Novel Z-scheme composite Ag2CrO4/NG/polyimides as high performance nano catalyst for photoreduction of CO2: Design, fabrication, characterization and mechanism, Journal of Photochemistry and Photobiology A: Chemistry, Elsevier, Volume 368, 1 January 2019, pp 30-40.

      [92] Motlagh, A.H., Klyuev, S.V., Surendar, A., Ibatova, A.Z., Maseleno, A., Catalytic Gasification of Oil Sludge with Calcined Dolomite, Petroleum Science and Technology, Taylor and Francis, pp. 1-5, 2018.

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  • How to Cite

    Budiyanto, G., Ipnuwati, S., Azam Al Gifari, S., Huda, M., Jalal, B., Abdul Latif, A., Maseleno, A., & Lia Hananto, A. (2018). Web based expert system for diagnosing disease pest on banana plant. International Journal of Engineering & Technology, 7(4), 4715-4721. https://doi.org/10.14419/ijet.v7i4.18607

    Received date: 2018-08-30

    Accepted date: 2018-09-24

    Published date: 2018-11-14