Pest diagnosis expert system on chili plants using Forward Chaining method in the department of agriculture in Pagar Alam City

Evy Septriani, Yogi Isro Mukti

Abstract

This study aims to produce an expert system for diagnosing pests in chilies using the Forward Caining method. Chili is one of the basic needs of the community as a flavoring or flavor, but farmers often experience failure to harvest due to pest attacks on chili plants. The system development method used by Waterfall consists of four stages, namely Analysis, Design, Coding and Testing. Therefore, the researcher created an expert system for diagnosing pests in chilies using the Onlane Forward Chaining method. the benefits of this expert system for the city of Pagar Alam, especially for farmers, make it easy to find out the types of pests that attack and provide solutions to prevent pests from being planted in chilies like an expe

Keywords

Expert system; Chili; Forward Chaining; Waterfall

References

T. Sutojo, Kecerdasan Buatan, Semarang: ANDI, 2010.

R. A. S. M. Shalahudin, Rekayasa Perangkat Lunak, Bandung: Informatika, 2013.

Y. Anindita, “Sistem Pakr Deteksi Hama Dan Penyakit Pada Tanaman Cabai Dengan Metode Naive Bayes,” Prosiding Seminar InformatikaAplikatif Polinema , pp. ISSN 2460-1160, 2015.

A. Mahbudi, “Rancang Bangun Sistem Pakar Untuk Mendiagnosis Tanaman Cabai Menggunakan Metode Bayes,” Jurnal Rekayasa Dan Manajemen Sitem Informasi, pp. ISSN 2460-8181, 2016.

Z. Azmi, Pengantar Sistem Pakar Dan Metode, Medan: Mitra Wacana Media, 2017.

A. H. R. Darmawan, Budi Daya Cabai Unggul, Jakarta: Penebar Swadaya, 2010.

P. R.S, Rekayasa Perangkat lunak, Yogyakarta: Andi, 2015.

Jaroji, “Sistem Pakar Pedia Pertanian Berbasis Android Dengan Menerapkan Metode Naive Bayes,” Jurnal Sistem Informasi, pp. ISSN2303-8149, 2019.

T. Christy, “Implementasi Sitem Pakar Diagnosa Penyakit Cabe Menggunakan Metode Forward Chaining,” STIMIK Royal, pp. 353-358, 2018.

Z. Azmi, Pengantar Sistem Pakar Dan Metode, Medan: Mitra Wacana Media, 2017.

Article Metrics

Abstract view : 34 times
PDF (Bahasa Indonesia) - 26 times

Refbacks

  • There are currently no refbacks.