Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Pisang Canvendish Dengan Metode Forward Chaining
DOI:
https://doi.org/10.30646/sinus.v21i1.679Keywords:
Expert System, Cavendish Banana, Forward Chaining, Web-basedAbstract
Bananas are part of the horticultural commodity group of fruits which are widely consumed because of their delicious taste and high nutritional content. One of the problems that exist when cultivating canvendish banana plants is the existence of disease disorders that occur in these plants. To prevent this from happening, knowledge about the diseases experienced by these plants is based on the symptoms experienced. Sources of knowledge about the disease and its symptoms can be obtained from an expert. However, the difficulty of consulting with experts in the field of canvendish bananas can be overcome with the help of an expert system to diagnose diseases of canvendish bananas using the Forward Chaining method. The purpose of this research is to help banana farmers or ordinary people to be able to carry out prevention and treatment when bananas are attacked by diseases or pests and overcome existing problems regarding canvendish bananas.
References
Akil, I. (2017). Analisa Efektifitas Metode Forward Chaining Dan Backward Chaining Pada Sistem Pakar. Jurnal Pilar Nusa Mandiri, 13(1), 35–42. https://doi.org/10.33480/PILAR.V13I1.12
C. Laudon, K., & P. Laudon, J. (2016). Management Information Systems (Managing The Digital Firm) (Fourteenth). Inc, Pearson Education.
Danel, J., Zunaidi, M., Syahra, Y., Barangan, P., & Pakar, S. (2020). Sistem Pakar Mendiagnosa Penyakit Pada Tanaman Pisang Barangan (Musa Paradisiaca) Dengan Menggunakan Metode Certainty Factor. Jurnal Cyber Tech, 3(8), pp. https://ojs.trigunadharma.ac.id/index.php/jct/article/view/4622
Dennis, A., & Wixom, Haley Barbara M.Roth, R. (2012). Systems Analysis and Design (5th ed.). John Wiley & Sons, Inc.
FAO. (2022). Bananas. https://www.fao.org/markets-and-trade/commodities/bananas/en/
Hamzani, A. M. (2017). Sistem Pakar Diagnosa Penyakit Tanaman Jeruk Menggunakan Metode Forward Chainning. JATI (Jurnal Mahasiswa Teknik Informatika), 1(1), 569–676. https://doi.org/10.36040/JATI.V1I1.2037
Naca Anbi, M., Fitri Laxmi, G., Riana, F., & Hermanto, C. (2022). Sistem Pakar Diagnosis Penyakit dan Hama Tanaman Pisang dengan Metode Classical Probability. Krea-TIF: Jurnal Teknik Informatika, 10(1), 51–58. https://doi.org/10.32832/KREA-TIF.V10I1.6993
O’Brien, J. A., & M. Marakas, G. (2010). Introduction To Information Systems (Fifteenth). McGraw-Hill.
Puspaningrum, A. S., Susanto, E. R., & Sucipto, A. (2020). Penerapan Metode Forward Chaining untuk Mendiagnosa Penyakit Tanaman Sawi. INFORMAL: Informatics Journal, 5(3), 113–120. https://doi.org/10.19184/ISJ.V5I3.20237
Verina, W. (2015). Penerapan Metode Forward Chaining untuk Mendeteksi Penyakit THT. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 1(2), 123–138. https://doi.org/10.35957/JATISI.V1I2.29
Widians, J. A. (2016). Aplikasi Sistem Pakar Identifikasi Penyakit Pada Tanaman Pisang. Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer, 6(1), 45–49. https://doi.org/10.30872/JIM.V6I1.68
Wikipedia. (2022). Pisang cavendish. https://id.wikipedia.org/wiki/Pisang_cavendish
Winanto, T., Retno, Y., Utami, W., Fitriasih, H., Studi, P., Informatika, T., Sinar, S., Surakarta, N., Program, ), & Informatika, S. M. (2017). Sistem Pakar Diagnosa Hama Dan Penyakit Tanaman Cabai Besar Menggunakan Metode Certainty Factor. Jurnal Ilmiah SINUS, 15(2), 13–24. https://doi.org/10.30646/SINUS.V15I2.302
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal 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 that allows others to share the work with an acknowledgement 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 acknowledgement 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 (See The Effect of Open Access).
Â
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
