Expert System for Pineapple Fruit Diseases Using Bayes' Theorem

Authors

  • Ade Pujianto Yogyakarta Amikom University, Yogyakarta
  • Raditya Wardhana Yogyakarta Amikom University, Yogyakarta
  • Acihmah Sidauruk Yogyakarta Amikom University, Yogyakarta
  • Ria Andriani Yogyakarta Amikom University, Yogyakarta

DOI:

https://doi.org/10.30865/mib.v7i3.6432

Keywords:

Expert System, Bayes Theorem, Diagnoses, Pineapple

Abstract

Expert systems are a branch of artificial intelligence that utilizes specialized knowledge to solve problems at the level of an expert. In the field of agriculture, expert systems are used for diagnosing plant diseases. In this research, an expert system was designed and developed with the aim of assisting pineapple farmers in determining the diagnosis of diseases based on the main symptoms observed in the plants. To overcome knowledge uncertainty, the Bayesian probability method was employed in this expert system. The diagnostic process begins with a consultation session, where the system asks relevant questions to the farmers based on the observed symptoms in the pineapple plants. The ultimate outcome of this study is an expert system capable of diagnosing diseases in pineapple plants and providing effective solutions with an accuracy rate of 93.34%. Additionally, the system provides probability values for each diagnosed disease, indicating the system's confidence level in the identified diseases, and offers treatment recommendations or solutions to the pineapple farmers.

References

M. N. Baloch, P. T. Ahmed, and G. H. Abbasi, Pineapple: Chemistry, Technology, and Quality, 1st ed. Oxford, UK: Wiley-Blackwell, 2019.

A. K. Ghosh, Pineapple: Morphology, Anatomy, and Physiology, 1st ed. Cham, Switzerland: Springer, 2021.

N. Y. Lumban Gaol, "Sistem Pakar Mendiagnosa Penyakit Tanaman Buah Citrus (Lemon) Menggunakan Metode Certainty Factor," Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer), vol. 19, no. 1, pp. 1-7, Feb. 2020. DOI: https://doi.org/10.53513/jis.v19i1.219.

S. Alim, P. P. Lestari, end Rusliyawati, "Sistem Pakar Diagnosa Penyakit Tanaman Kakao Menggunakan Metode Certainty Factor Pada Kelompok Tani PT Olam Indonesia (Cocoa) Cabang Lampung," Jurnal Data Mining dan Sistem Informasi (JDMSI), vol. 1, no. 4, pp. 26-31, 2020.

E. Rasywir, R. Sinaga, end Y. Pratama, "Evaluasi Pembangunan Sistem Pakar Penyakit Tanaman Sawit dengan Metode Deep Neural Network (DNN)," Jurnal Media Informatika Budidarma, vol. 4, no. 4, pp. 1206-1215, October 2020. ISSN 2614-5278 (print), ISSN 2548-8368 (online). DOI: 10.30865/mib.v4i4.2518.

A. Anggrawan, S. Satuang, end M. N. Abdillah, "Sistem Pakar Diagnosis Penyakit Ayam Broiler Menggunakan Forward Chaining dan Certainty Factor," Matrik: J. Manaj., Tek. Inf. dan Rekayasa Komputer, vol. 20, no. 1, pp. 97-108, Nov. 2020. DOI: 10.30812/matrik.v20i1.847. ISSN: 2476-9843.

M. I. Pati, S. Defit, end G. W. Nurcahyo, "Sistem Pakar dengan Metode Forward Chaining untuk Diagnosis Penyakit dan Hama Tanaman Semangka," J. Sist. Inform. dan Teknol., vol. 2, no. 4, pp. 102-107, 2020. DOI: 10.37034/jsisfotek.v2i4.30.

J. A. Widians, N. Puspitasari, and A. A. M. Putri, "Penerapan Teorema Bayes dalam Sistem Pakar Anggrek Hitam," Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer, vol. 15, no. 2, pp. -, Sep. 2020, doi: 10.30872/jim.v15i2.4604.

A. Anggrawan, S. Satuang, and M. N. Abdillah, "Sistem Pakar Diagnosis Penyakit Ayam Broiler Menggunakan Forward Chaining dan Certainty Factor," Matrik: Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 20, no. 1, pp. 97-108, Nov. 2020. doi: 10.30812/matrik.v20i1.847. ISSN: 2476-9843

M. Ramadhan, B. Anwar, R. Gunawan, and R. Kustini, "Sistem Pakar untuk Mendiagnosa Penyakit pada Tanaman Kopi menggunakan Metode Teorema Bayes," Journal of Science and Social Research, vol. IV, no. 2, pp. 115-121, June 2021. doi: 10.54314/jssr.v4i2.533. ISSN: 2615-4307 (Print), ISSN: 2615-3262 (Online).

M. R. Fadhilah, I. Ishak, and P. S. Ramadhan, "Implementasi Sistem Pakar Mendiagnosa Penyakit Gastritis dengan Menggunakan Metode Teorema Bayes," J-SISKO TECH Jurnal Teknologi Sistem Informasi dan Sistem Komputer, vol. 4, no. 1, pp. 1-9, Januari 2021. doi: 10.53513/jsk.v4i1.2439. ISSN: 2621-8976 (Print), ISSN: 2615-5133 (Online).

N. N. K. Sitorus, W. R. M. Maya, and R. I. Ginting, "Implementasi Sistem Pakar Mendiagnosa Penyakit pada Tanaman Pepino (Solanum Muricatum) Menggunakan Teorema Bayes," Jurnal CyberTech, vol. 3, no. 8, pp. 1-9, Agustus 2020. P-ISSN: 9800-3456, E-ISSN: 2675-9802.

A. R. Prayoga, M. I. Wahyuddin, and A. Andrianingsih, "Sistem Pakar Diagnosa Penyakit dan Hama Tanaman Pepaya Menggunakan Metode Forward Chaining dan Naïve Bayes," Jurnal Sains Komputer & Informatika (J-SAKTI), vol. 5, no. 2, pp. 781-791, September 2021. ISSN: 2548-9771, EISSN: 2549-7200. DOI: 10.30645/j-sakti.v5i2.376.

M. Ramadhan, B. Anwar, R. Gunawan, and R. Kustini, "Sistem Pakar untuk Mendiagnosa Penyakit pada Tanaman Kopi menggunakan Metode Teorema Bayes," Journal of Science and Social Research, vol. IV, no. 2, pp. 115-121, June 2021. ISSN: 2615-4307 (Print), ISSN: 2615-3262 (Online). DOI: 10.54314/jssr.v4i2.533.

R. Z. Rahman, Garno, and T. N. Padilah, "Sistem Pakar Hama dan Penyakit Cabai Berbasis Teorema Bayes (Studi Kasus: Dinas Pertanian Karawang)," JUTEKIN, vol. 9, no. 1, pp. 1-10, 2021. ISSN: 2338-1477 (Print), ISSN: 2541-6375 (Online). DOI: 10.51530/jutekin.v9i1.468.

H. Hadi, U. Darusalam, and A. Andrianingsih, "Penerapan Metode Forward Chaining dan Naïve Bayes Untuk Mendiagnosa Penyakit Tanaman Kakao," Jurnal Media Informatika Budidarma, vol. 5, no. 3, pp. 979-986, July 2021. ISSN: 2614-5278 (Print), ISSN: 2548-8368 (Online). DOI: 10.30865/mib.v5i3.3096.

N. I. R. Lubis, S. Saniman, and J. Halim, "Sistem Pakar Mendiagnosa Penyakit Ephelis (Flek Hitam) Pada Kulit Wajah Menggunakan Metode Teorema Bayes," J-SISKO TECH (Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD), vol. 5, no. 1, pp. 33-44, January 2022. ISSN: 2615-5133. DOI: 10.53513/jsk.v5i1.4076.

E. W. Hutapea and A. Setiawan, "Metode Teorema Bayes untuk Mendeteksi Penyakit Tanaman Buah Kiwi," UNES Journal of Scientech Research, vol. 7, no. 2, pp. 1-8, December 2022. P-ISSN: 2528-5556, E-ISSN: 2528-6226.

I. P. Wibowo and B. S. Nugroho, Sistem Pakar: Konsep dan Implementasi, 1st ed. Yogyakarta, Indonesia: Andi Offset, 2019.

P. Winston and B. N. Jog, Artificial Intelligence, 3rd ed. Pearson, 2019.

A. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, 4th ed. Harlow, UK: Pearson Education Limited, 2020.

D. Barber, Bayesian Reasoning and Machine Learning, 1st ed. Cambridge University Press, 2018.

S. Ghosh and M. Delampady, An Introduction to Bayesian Analysis: Theory and Methods, 1st ed. Springer, 2021.

Downloads

Published

2023-07-31

Issue

Vol. 7 No. 3 (2023): Juli 2023

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. 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 acknowledgment of its initial publication in this journal.
  3. 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 (Refer to The Effect of Open Access).