Pradana, Dedy Surya (2017) Sistem Pakar Pendeteksi Hama Dan Penyakit Tanaman Mangga Menggunakan Metode Iterative Dichotomiser Tree (ID3). Sarjana thesis, Universitas Brawijaya.
Abstract
Deteksi secara dini dapat meminimalisir risiko gagal panen tanaman mangga serta untuk penentuan upaya pengendalian secara strategis. Proses deteksi yang ada selama ini masih manual, dan pengetahuan tentang gejala- gejala penyakit dan hama tanaman mangga yang masih kurang. Jumlah hama penyakit tanaman mangga juga cukup banyak dan membuat para petani cukup kesulitan untuk menentukan hama penyakit apa yang menyerang. Pemanfaatan sistem diagnosis awal penyakit menjadi lebih mudah dan cepat. Petani juga dapat melakukan deteksi hama dan penyakit secara dini dan mandiri. Pada penelitian ini jenis hama penyakit yang dapat dideteksi sebanyak sembilan hama penyakit menggunakan metode Iterative dichotomizer 3 (ID3) dengan masukan gejala dari pengguna. Metode tersebut digunakan untuk mengolah data hama penyakit tanaman mangga dalam hasil pengujian akurasi sistem antara deteksi dengan hasil perhitungan metode Iterative Dichotomizer 3 (ID3) memiliki tingkat keakurasian sebesar 84%.
English Abstract
Early detection can minimize the risk of crop failure and can be the determinant of the strategic control efforts.The detection that existed so far is still done manually, and knowledge of disease and pest of mango plant still lacking . The number of plant disease pests of mango is also quite a lot and make enough trouble for farmer detect that attacks.The utilization of the expert system detection process becomes easier and faster. Farmer can detect pest and plant disease early and independently as well. On the research of this kind of disease pest that can be detected as many as nine pests diseases using methods of Iterative dichotomezer 3 (ID3) with input from users of symptoms. The method is used to analyze the data of pest and plant disease of mango crops where as the result of system accuracy test between the detection and the result of Iterative dichotomezer 3 (ID3) method calculation has the accuracy level of 84%.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2017/736/051708558 |
| Uncontrolled Keywords: | ID3, Hama, Penyakit, Mangga |
| Subjects: | 000 Computer science, information and general works > 005 Computer programming, programs, data > 005.1 Programming |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Yusuf Dwi N. |
| Date Deposited: | 02 Oct 2017 06:53 |
| Last Modified: | 28 Nov 2020 04:26 |
| URI: | http://repository.ub.ac.id/id/eprint/3091 |
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