Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android
DOI:
https://doi.org/10.35870/jtik.v5i3.188Keywords:
Rambutan Plant, Expert System, Android, Forward Chaining, Certainty FactorAbstract
The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.
Downloads
References
Ummi, K., 2017, October. Analisis Dan Perancangan Sistem Pakar Mendiagnosis Penyakit Tanaman Rambutan Dengan Menggunakan Metode Forward Chaining. In Seminar Nasional Informatika (SNIf) (Vol. 1, No. 1, pp. 41-46).
Uysal, A.K. and Gunal, S., 2014. Text classification using genetic algorithm oriented latent semantic features. Expert Systems with Applications, 41(13), pp.5938-5947.
Ginting, B.S., 2018. Rancang Bangun Program Aplikasi Sistem Pakar Diagnosa Penyakit Tanaman Rambutan Menggunakan Metode Bayes. JSIK (Jurnal Sistem Informasi Kaputama), 1(1), pp.11-21.
Adha, D., Alfina, O. and Ekadiansyah, E., 2018. Penerapan Metode Certainty Factor Dalam Sistem Pakar Untuk Menentukan Varietas Buah Rambutan Yang Unggul. Jurnal Informatika Kaputama, 2(2), pp.12-23.
Guntur, S. and Wayahdi, M.R., 2019. Analisis Metode Bayes dalam Identifikasi Varietas Buah Rambutan. In Semantika (Seminar Nasional Teknik Informatika) (Vol. 2, No. 1, pp. 35-41).
Aulia, A., Udjaja, Y., Wairooy, I.K., Hutama, A.P., Shabira, D.K. and Muhtadin, S., Android Application to Detect Cat Disease Using an Expert System. Advances in Science, Technology and Engineering Systems Journal.
Setyohadi, D.P.S., Octavia, R.A. and Puspitasari, T.D., 2018, January. An Expert System for Diagnosis of Broiler Diseases using Certainty Factor. In Journal of Physics: Conference Series (Vol. 953, No. 1, pp. 1-6).
Heckerman, D.E. and Shortliffe, E.H., 1992. From certainty factors to belief networks. Artificial Intelligence in Medicine, 4(1), pp.35-52.
Bohanec, M. and Rajkovic, V., 1990. Expert system for decision making. Sistemica, 1(1), pp.145-157.
Palanisamy, U., Cheng, H.M., Masilamani, T., Subramaniam, T., Ling, L.T. and Radhakrishnan, A.K., 2008. Rind of the rambutan, Nephelium lappaceum, a potential source of natural antioxidants. Food Chemistry, 109(1), pp.54-63.
DRS. Kusno Waluyo., 2010. Kiat Sukses Beragrobisnis Rambutan, EPSILON GRUP, 2010.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
