Saputra, Agil Gilang Chandra (2025) Aplikasi Sistem Pakar Diagnosis Penyakit Dan Hama Pada Tanaman Bawang Merah Dengan Metode Certainty Factor. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
In developing an Android expert system application for diagnosis of diseases and pests in shallot plants using the Certainty Factor method. The goal is to help farmers identify crop problems quickly and accurately. The system utilizes the AI YOLOv11 model for the classification of images of physical symptoms, with the confidence value from AI being the basis for calculating the Certainty Factor combined with expert weight to determine the level of influence of crop failure. Results showed the AI YOLOv11 model achieved 97% accuracy, and the Certainty Factor method successfully provided a quantitative measure of disease/pest impact. The application presents diagnosis, damage level, causes, and treatment solutions, and has been functionally tested. It is expected that this application will be an effective tool for shallot farmers.
Item Type: | Thesis (Undergraduate) | ||||||
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Contributors: |
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Uncontrolled Keywords: | Sistem Pakar, Certainty Factor, Diagnosis Penyakit dan Hama, Bawang Merah, Aplikasi Android, YOLOv11. | ||||||
Subjects: | 100 - Rumpun Matematika dan Ilmu Pengetahuan Alam (MIPA) > 120 - Matematika > 123 - Ilmu Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
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Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika (Sidoarjo) > Tugas Akhir | ||||||
Depositing User: | Agil Gilang Chandra Saputra | ||||||
Date Deposited: | 04 Aug 2025 07:54 | ||||||
Last Modified: | 04 Aug 2025 07:58 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/45269 |
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