Application of Naïve Bayes Method for Diagnosing Rubber Tree Diseases at PT. Bridgestone Aek Tarum

  • Efriliya Hafni Yuswinda Universitas Islam Negeri Sumatera Utara
  • Ilka Zufria Universitas Islam Negeri Sumatera Utara
  • Ismail Husein Universitas Islam Negeri Sumatera Utara
Keywords: Rubber tree diseases, Expert system, Naïve Bayes, Mobile application

Abstract

Rubber plant disease attacks roots, stems, tapping areas, and leaves. Factors causing the low rubber plantations are due to limited information and control of rubber tree diseases, so there is a need for a system to improve rubber tree disease control with the help of this system. Currently, without a system, it is only completed by an expert who is considered successful if he is able to make decisions like an expert. Making this system can help an employee in diagnosing diseases in rubber plants. Making this system requires an expert in his field to obtain accurate data regarding information on rubber plant diseases, the data used are 22 symptoms and 7 diseases. In this study the method used is Naive Bayes. The Naive Bayes method works by finding the probability value of the emergence of rubber plant diseases. This application is developed based on Android using the Java programming language in the Android Studio application. From this study it was found that white root fungal disease has 7 symptoms and the choice of confidence level in each symptom is between 0 and 1. Then white root fungal disease has the largest result value, namely 0.0000002911.

References

L. S. Ningsih, S. P. Sitorus, and R. Pane, “Penerapan Metode Hybrid Case Based dalam Diagnosis Penyakit pada Tanaman Karet,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 3, pp. 1362–1370, 2023, doi: 10.30865/mib.v7i3.6551.

Ahyauddin, “ANALISIS FINANSIAL TERHADAP PRODUKTIVITAS GETAH DAN POTENSI KAYU TANAMAN KARET DARI KLON GT 1 DAN SEEDLING DI KABUPATEN SAROLANGUN,” J. Cahaya Mandalika, vol. 4, no. 2, pp. 600–613, 2023.

Sumarno, “Optimization Level Transmitter Storage Tank To Increase Latex Product Storage Performance At Dow Chemical Indonesia,” J. Pendidik. dan Konseling, vol. 4, no. 5, pp. 4553–4568, 2022.

N. Halimah, D. Rejeki, D. P. Arisandi, and N. Maharani, “Strategi Optimasi Produksi Getah Karet Perumda Perkebunan Kahyangan Jember,” J. Teknol. Pangan dan Ilmu Pertan., vol. 2, no. 1, pp. 17–29, 2024.

E. Efriani, “Eksplorasi Cendawan Dark Septate Endopyte (DSE) Dari Akar Hevea brasiliensis Untuk Pengendali Jamur Akar Putih (Rigidoporus microporus) Secara In Vitro,” J. Ilm. Mhs. Pertan. [JIMTANI], vol. 3, no. 6, pp. 653–663, 2023.

T. Firdaus and F. Yanti, “IMPLEMENTASI METODE NAÏVE BAYES PADA SISTEM PAKAR DIAGNOSA PENYAKIT GIGI BERBASIS WEB,” Din. Inform., vol. 14, no. 2, pp. 87–98, 2022.

I. S. Maulana and I. Najiyah, “Sistem Pakar Diagnosa Penyakit Pohon Karet Menggunakan Metode Dempster Shafer,” E-PROSIDING Sist. INFORMAS, vol. 3, no. 2, pp. 226–232, 2022.

A. Wibisono, “FILTERING SPAM EMAIL MENGGUNAKAN METODE NAIVE BAYES,” Teknologipintar.org, vol. 3, no. 4, pp. 1–22, 2023.

M. B, E. Junirianto, Suswanto, and A. Nurhuda, “Diagnosis Dan Penanganan Penyakit Tanaman Karet Pada Sistem Pakar Berbasis Penalaran Menggunakan Metode Teorema Bayes,” JURTI, vol. 6, no. 1, pp. 73–81, 2022.

M. Z. Batubara and M. I. P. Nasution, “Sistem Informasi Online Pengelolaan Dana Sosial Pada Rumah Yatim Sumatera Utara,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 5, no. 3, pp. 164–171, 2023.

Halimah, D. Linda, and F. Klaralia, “Penerapan Algoritma Naïve Bayes untuk Memprediksi Penyakit Malaria pada Puskesmas Hanura,” J. Tek., vol. 14, no. 1, pp. 57–63, 2020.

D. Y. Rakhmawati, S. A. Dangga, and N. Laela, “PEMANFAATAN KOTORAN SAPI MENJADI PUPUK ORGANIK,” J. Abdikarya J. Karya Pengabdi. Dosen dan Mhs., vol. 3, no. 1, pp. 62–67, 2019.

Yuliana, Paradise, and Kusrini, “Sistem Pakar Diagnosa Penyakit Ispa Menggunakan Metode Naive Bayes Classifier Berbasis Web,” CSRID J., vol. 10, no. 3, pp. 127–138, 2018.

Syahranitazli and Samsudin, “SISTEM INFORMASI GEOGRAFIS PERSEBARAN PONDOK PESANTREN KABUPATEN LANGKAT DAN BINJAI MENGGUNAKAN LEAFLET,” J. Pendidik. Teknol. Inf., vol. 6, no. 1, pp. 2621–1467, 2023.

G. A. D. Sugiharni and D. G. H. Divayana, “Pemanfaatan Metode Forward Chaining Dalam Pengembangan Sistem Pakar Pendiagnosa Kerusakan Televisi Berwarna,” J. Nas. Pendidik. Tek. Inform., vol. 6, no. 1, pp. 20–29, 2017.

M. D. A. Syahputra, H. Santoso, and F. H. Sibrani, “Implementasi Sistem Pengelolaan Persediaan dengan Algoritma FIFO Pada Gudang Sparepart Sepeda Motor,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 6, no. 1, pp. 168–176, 2024.

Published
2024-03-27
How to Cite
Yuswinda, E. H., Zufria, I., & Husein, I. (2024). Application of Naïve Bayes Method for Diagnosing Rubber Tree Diseases at PT. Bridgestone Aek Tarum. Journal of Information Technology, 4(1), 157-165. https://doi.org/10.46229/jifotech.v4i1.876