The Implementation of Jaro-Winkler Distance and Naive Bayes Classifier for Identification System of Pests and Diseases on Paddy

Andyta Permana Sari, Ristu Saptono, Esti Suryani

Abstract

The identification of pests and diseases on paddy are required to determine the control that can be done. Control of pests and diseases of paddy that are less precise as the excessive and prolonged use of pesticides can cause harm to the rice plant itself. This research aims to create a system to identify pests and diseases of paddy as well as provide alternative solutions to control it. This research proposes Jaro-Winkler Distance and Naive Bayes Classifier in identifying pests and diseases of paddy. The system takes text that contains symptoms of the disease as an input. The identification system in this research utilizes Jaro-Winkler Distance to identify symptoms from user input and Naive Bayes Classifier to identify what kind of pest or disease that infected the paddy. Developed applications got 93% accuracy, 94% precision, and 92% recall on evaluation using 10-fold cross-validation.

Keywords

Pests and Diseases of paddy; Jaro-Winkler Distance; Naive Bayes Classifier.

References

Wilyus, W., Ratna, Y., & Yunita, W., “Pengendalian Hama Terpadu (PHT) Biointensif pada Tanaman Padi di Desa Senaning”, Jurnal Karya Abdi Masyarakat, 35-42, 2017.

Gultom, R., Hasanah, L., & Supriyatna, M. A., “Statistik Iklim, Organisme Pengganggu Tanaman dan Dampak Perubahan Iklim”, Pusat Data dan Sistem Informasi Pertanian Sekretariat Jenderal Kementerian Pertanian, Jakarta, 2014.

Apriliantina, R. S., “Pengetahuan, Sikap dan Tindakan Petani dalam Penggunaan Pestisida di Kabupaten Indramayu Jawa Barat”, 2013.

Prayito, W., Saam, Z., Nurhidayah, T., “Hubungan Pengetahuan, Persepsi dan Perilaku Petani dalam Penggunaan Pestisida pada Lingkungan di Kelurahan Maharatu Kota Pekanbaru”, Pusat Penelitian Lingkungan Hidup Universitas Riau, 2014.

Tjahjadi, N., “Hama dan Penyakit Tanaman”, Kanisius, Yogyakarta, 1989.

Kurniawati, A., Puspitodjati, S., $ Rahman, S., “Implementasi Algoritma Jaro-Winkler Ditance untuk Membandingkan Kesamaan Dokumen Berbahasa Indonesia”, Proceeding Seminar Ilmiah Nasional ke-5 KOMMIT, Bali, 2010.

Parthiban, G., Rajesh, A., & Srivatsa, S., “Diagnosis of Heart Disease for Diabetic Patients using Naive Bayes Method”, International Journal of Computer Application, 7-11, 2011.

Purnana, P., & Supriyanto, C., “Deteksi Penyakit Diabetes Type II dengan Naive Bayes Berbasis Particle Swarm Optimization”, Jurnal Teknologi Informasi, 49-53, 2013.

Rahadian, M., Saptono, R., & Doewes, A., “Deteksi Hama dan Penyakit Tanaman Padi Memanfaatkan Input Tekstual dengan Metode Cosine Similarity”, Prosiding Seminar Ilmiah Ilmu Komputer 2014, 39-54, 2014.

Article Metrics

Abstract view : 76 times
PDF (Bahasa Indonesia) - 0 times

Refbacks

  • There are currently no refbacks.