Sistem Pakar Diagnosa Penyakit pada Tanaman Jambu Kristal Menggunakan Metode Dempster Shafer Berbasis Web

Penulis

  • Saifu Rohman Universitas Sains Al-Qur’an
  • Rina Mahmudati Universitas Sains Al-Qur’an
  • Wiko Anang Ansoruloh Universitas Sains Al-Qur’an

DOI:

https://doi.org/10.51903/juritek.v4i1.2892

Kata Kunci:

Crystal Guava, Expert System, Dempster Shafer, Web

Abstrak

The Crystal Guava plant can be attacked by several types of diseases. Diseases in crystal guava plants can cause significant losses in fruit production. Some pests and diseases that can attack crystal guava plants include fruit flies, bagworms, whiteflies, anthracnose, and red rust. Therefore, accurate and timely disease diagnosis is crucial in controlling and managing these diseases. In this study, an Expert System for Disease Diagnosis in Crystal Guava Plants Using the Dempster Shafer Method-Based Web was developed. The Dempster Shafer method calculates the likelihood of a disease attacking crystal guava plants based on the density probability values of each symptom. The results produced by this expert system include the type of disease, solution, and the percentage probability value of the disease, with an average accuracy of 83.33%. Hence, it can be concluded that the system can diagnose diseases in crystal guava plants effectively.

Referensi

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Pasaribu, Chandra Tio, Nurul Hidayat, and Randy Cahya Wihandika. "Pemodelan Sistem Pakar Diagnosis Penyakit pada Tanaman Tembakau Virginia dengan Metode Dempster-Shafer." Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer 2.5 (2018): 2092-2094.
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Diterbitkan

2024-03-12

Cara Mengutip

Saifu Rohman, Rina Mahmudati, & Wiko Anang Ansoruloh. (2024). Sistem Pakar Diagnosa Penyakit pada Tanaman Jambu Kristal Menggunakan Metode Dempster Shafer Berbasis Web. Jurnal Ilmiah Teknik Mesin, Elektro Dan Komputer, 4(1), 65–73. https://doi.org/10.51903/juritek.v4i1.2892