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All Journal Jurnal Informatika Kaputama (JIK) International Journal of Basic and Applied Science
Era Pelita Sinaga
STMIK Pelita Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics

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Expert System for Diagnosing Pests and Diseases in Arabica Coffee Plants using the Certainty Factor Method Era Pelita Sinaga
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.13

Abstract

Arabica coffee is coffee which is known to have the best quality among others, because it has a distinctive aroma and taste. However, arabica coffee is more susceptible to infection with pests and diseases, which causes farmers to experience difficulties in maintaining arabica coffee and lack of knowledge about how to control pests and diseases that attack arabica coffee. In handling pests and diseases, an agricultural consultant is needed to diagnose pests and diseases of arabica coffee plants. In this study, the expert system diagnosed pests and diseases in Arabica coffee plants was built to diagnose pests and diseases that attack arabica coffee plants, and provide solutions for pests and diseases. The method used in this expert system is the Certainty Factor method. Certainty Factor method is chosen because this method is suitable in the process of determining the identification of pests and diseases, and the results of applying this method are percentages. The percentage of expert system consultations was taken from the highest yield, as an alternative to pests and diseases that attacked arabica coffee plants. The expert system diagnoses pests and diseases of arabica coffee plants to make it easier for Arabica coffee farmers to find more detailed and accurate information about Arabica Coffee pests and diseases and their control.
SISTEM PAKAR UNTUK MENDIAGNOSA HAMA DAN PENYAKIT PADA TANAMAN KOPI ARABIKA DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR Era Pelita Sinaga; Sulindawaty Sulindawaty
Jurnal Informatika Kaputama (JIK) Vol 2 No 2 (2018): Volume 2, Nomor 2, Juli 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v2i2.426

Abstract

Dalam penelitian ini, bertujuan untuk merancang sebuah sistem pakar untuk mendiagnosa hama dan penyakit pada tanaman kopi arabika, serta memberikan solusi untuk mencegah hama ataupun penyakit yang menyerang tanaman kopi arabika. Metode yang digunakan pada sistem pakar ini adalah metode Certainty Factor. Metode Certainty Factor dipilih karena metode ini cocok dalam proses penentuan identifikasi hama dan penyakit, dan hasil dari penerapan metode ini adalah persentase. Penentuan persentase dipengaruhi oleh nilai MB dan nilai MD yang didapat dari penilaian seorang pakar. Persentase pada konsultasi sistem pakar di ambil dari hasil tertinggi pertama, sebagai alternatif hama dan penyakit yang menyerang tanaman kopi arabika. Sistem pakar mendiagnosa hama dan penyakit tanaman kopi arabika untuk memudahkan para petani kopi jenis arabika untuk mencari informasi yang lebih detail dan akurat tentang hama dan penyakit Kopi Arabika serta solusi pencegahan nya.
Co-Authors Sulindawaty, Sulindawaty