Published: 2022-02-04

Sistem Pakar Menggunakan Metode Naïve Bayes dan Certainty Factor untuk Mendeteksi Hama pada Tanaman Alpukat Berbasis Web

DOI: 10.35870/jtik.v6i4.519

Ferriza Tyar, Muhammad Iwan Wahyuddin
Issue Cover

Downloads

Article Metrics
Share:

Abstract

Avocad (Persea americana) is a table fruit-producing plant of the same name. This plant comes from Mexico and Central America as a garden plant in other tropical areas of the world. In Indonesia itself, avocados are widely found because of the tropical climate, then people also like avocados because there are many choices from various food and beverage ingredients.  Lack of attention to the cultivation and breeding of avocados makes the yields less good, and not optimal. so the author conducted this research in the hope that the yield and breeding of avocado plants can be maximized. This expert system was built using Web-based programming. The method applied is Naïve Bayes, which is a method that uses statistics and probability in predicting the chances of avocado plants having growth disorders based on the presence of pests (worms) in avocado plants.

Keywords

Expert Systems ; Avocado ; Naïve Bayes ; Certainty Factor

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

How to Cite

Tyar, F., & Wahyuddin, M. I. (2022). Sistem Pakar Menggunakan Metode Naïve Bayes dan Certainty Factor untuk Mendeteksi Hama pada Tanaman Alpukat Berbasis Web. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 6(4), 488-496. https://doi.org/10.35870/jtik.v6i4.519
Article Information

This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 6 No. 4 (2022)

  • Section: Computer & Communication Science

  • Published: %750 %e, %2022

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers
Scholarly Connection Platforms
Dimensions Dimensions Connected Papers Connected Papers Scite Scite Google Scholar Google Scholar Semantic Scholar Semantic Scholar Garuda Garuda Scilit Scilit Crossref Crossref BASE BASE Zenodo Zenodo Unpaywall Unpaywall OpenCitations OpenCitations
Author Biographies
Ferriza Tyar
Google Scholar ResearchGate ORCID

Program Studi Sistem Informasi, Fakultas Teknologi komunikasi dan Informatika, Universitas Nasional

Muhammad Iwan Wahyuddin
Google Scholar ResearchGate ORCID

Program Studi Sistem Informasi, Fakultas Teknologi komunikasi dan Informatika, Universitas Nasional

References
  • Hutahaean, J., Siagian, Y. and Pasaribu, E.S., 2015. Expert system untuk mendiagnosa penyakit tanaman buah berbasis web. Jurnal APTEK, 7(1), pp.7-18.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Muhidin, A. and Muzzafar, G., 2019. Perancangan Sistem Informasi Kost Wilayah Karawang Berbasis Web. Jurnal SIGMA, 9(3), pp.98-104.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Yulian, Y.E.P., 2021. Rancang Bangun Menggunakan Metode Naive Bayes Dalam Sistem Pakar Penentuan Penyakit Tanaman Nanas Berbasis Web. Jurnal Portal Data, 1(1).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Salafuddin, M. and Rosyidah, U., Sistem Pakar Diagnosa Penyakit Buah Naga Menggunakanbackwarddanforward chaining. Creative Communication and Innovative Technology Journal, 10(1), pp.16-23.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Wijayanti, R. and Winiarti, S., 2013. Sistem Pakar Mendiagnosa Penyakit Pada Buah-Buahan Pascapanen (Doctoral dissertation, Universitas Ahmad Dahlan).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Rosadi, D. and Hamid, A., 2014. Sistem Pakar Diagnosa Penyakit Tanaman Padi Menggunakan Metode Forward chaining. Jurnal Computech & Bisnis, 8(1), pp.43-48.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Gaol, N.Y.L., 2020. Sistem Pakar Mendiagnosa Penyakit Tanaman Buah Citrus (Lemon) Mengggunakan Metode Certainty Factor. Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika Dan Komputer), 19(1), pp.1-7.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sasmito, G.W., 2017. Sistem Pakar Diagnosis Hama dan Penyakit Tanaman Hortikultura dengan Teknik Inferensi Forward dan Backward Chaining. Jurnal Teknologi dan Sistem Komputer, 5(2), pp.69-74.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Das, N.R., Rai, S.C. and Nayak, A., 2018. Intelligent scheduling of demand side energy usage in smart grid using a metaheuristic approach. International Journal of Intelligent Systems and Applications, 10(6), p.30.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Mohammed, A.A., Ambak, K., Mosa, A. and Syamsunur, D., 2019. Expert system in engineering transportation: a review. Journal of Engineering Science and Technology, 14(1), pp.229-252.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Huang, Q.R., 2007. Competencies for graduate curricula in health, medical and biomedical informatics: a framework. Health Informatics Journal, 13(2), pp.89-103.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Berrar, D., 2018. Bayes’ theorem and naive Bayes classifier. Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics; Elsevier Science Publisher: Amsterdam, The Netherlands, pp.403-412.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Chen, S., Webb, G.I., Liu, L. and Ma, X., 2020. A novel selective naïve Bayes algorithm. Knowledge-Based Systems, 192, p.105361.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Burhani, H.R., Fitri, I. and Andrianingsih, A., 2021. Perbandingan Naïve bayes dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.291-299.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sumatorno, I., Arisandi, D., Siahaan, A.P.U. and Mesran, M., 2017. Expert System of Catfish Disease Determinant Using Certainty Factor Method. International Journal of Recent Trends in Engineering & Research, 3(8).
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Burhani, H.R., Fitri, I. and Andrianingsih, A., 2021. Perbandingan Naïve bayes dan Certainty factor pada Sistem Pakar Untuk Mendiagnosa Dini Penyakit Glaukoma. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(3), pp.291-299.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Surya, A.P., Fauziah, F. and Nurhayati, N., 2021. Sistem Diagnosis Penyakit Hipokalemia menggunakan Gabungan Metode Forward Chaining dan Certainty Factor. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(2), pp.213-218.
    Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
License & Copyright
Creative Commons License

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.

Downloads

Similar Articles

You may also start an advanced similarity search for this article.