Effendi, Mochammad Taufiqi (2019) Sistem Diagnosis Penyakit Tumbuhan Mangga Menggunakan Metode Naive Bayes. Sarjana thesis, Universitas Brawijaya.
Abstract
Produktivitas tumbuhan mangga mampu menyaingi pesatnya pasar lokal maupun ekspor yang menjadi peluang petani Indonesia, akan tetapi petani harus meningkatkan hasil produksi buah mangga untuk bisa meningkatkan daya saing pemasaran karena adanya berbagai aspek penghambat diantaranya adalah penyakit. Pada Sistem Diagnosis Penyakit Tumbuhan Mangga Menggunakan Metode Naive Bayes bertujuan membantu petani dalam mengatasi permasalahan mendiagnosis penyakit tumbuhan mangga. Sistem ini dibangun berdasarkan masalah yang terjadi pada petani yaitu sulitnya dalam mengenali jenis penyakit tumbuhan mangga, dikarenakan banyak kemiripan gejala pada penyakit tumbuhan mangga. Penyakit tumbuhan mangga sejak lama dirasakan menimbulkan penurunan hasil panen petani. Pada tahun 2015 mengalami penurunan 10,39 persen dari tahun 2014 2,43 juta ton menjadi 2,17 juta ton. Metode naive bayes dipilih pada penelitian ini merupakan metode yang digunakan memprediksi probabilitas. Hasil pengujian penelitian ini menunjukkan bahwa, pada pengujian akurasi 30 data uji mendapatkan tingkat akurasi sebesar 87,5%
English Abstract
Mango productivity can compete with the rapid local and export markets which are opportunities for Indonesian farmers, but farmers must increase the yield of mangoes to increase marketing competitiveness due to the various inhibiting aspects including diseases. In the Mango Plant Diagnosis System Using the Naive Bayes Method aimed to assist farmers in overcoming the problem of diagnosing mango plant diseases. This system wad built based on the problems that occurred in farmers, namely the difficulty in recognizing the types of mango plants, due to the many similarities in the symptoms of mango plant diseases. Mangoes have long been felt by farmers causing the deflation of mangoes' crop yields. In 2015 a decrease of 10.39 percent from 2014 was 2.43 million tons to 2.17 million tons. Naive Bayes method which selected in this study was a method used to predict probability. This system was used on Android systems, because it was quite efficient and popular among the public. The results of testing this study indicate that, in testing the accuracy of 30 test data get an accuracy rate of 87.5%
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FILKOM/2019/64/051902234 |
| Uncontrolled Keywords: | , gejala, penyakit tumbuhan mangga, diagnosis, naive bayes.symptoms, mango growth disease, diagnosis, naive bayes |
| Subjects: | 600 Technology (Applied sciences) > 632 Plant injuries, diseases, pests > 632.3 Diseases / Plant diseases |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Nur Cholis |
| Date Deposited: | 23 Jun 2020 05:34 |
| Last Modified: | 24 Oct 2021 03:15 |
| URI: | http://repository.ub.ac.id/id/eprint/169351 |
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