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All Journal Techno.Com: Jurnal Teknologi Informasi JSI: Jurnal Sistem Informasi (E-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) Informatik : Jurnal Ilmu Komputer INTEGRITAS : Jurnal Pengabdian SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan
Ria Astriratma
Universitas Pembangunan Nasional Veteran Jakarta
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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Journal : Jurnal Ilmiah Matrik

 1 
SISTEM PAKAR UNTUK MENDIAGNOSIS HAMA PENYAKIT TANAMAN SEMANGKA MENGGUNAKAN METODE CERTAINTY FACTOR DAN METODE BAYES Luqman Imam; Henki Bayu Seta; Ria Astriratma
Jurnal Ilmiah Matrik Vol 24 No 2 (2022): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v24i2.1764

Abstract

Watermelon is one of the most popular fruits by the general public. Apart from the benefits of watermelon, watermelon also has several diseases that are difficult for farmers to know, such as fruit rot (anthracnose), fruit scabies (bacterial fruit blotch), and others. Although watermelon disease is common, there are still many farmers who do not know about this problem. Therefore, an expert system for watermelon disease detection can be used using the certainty factor algorithm and the Bayes method. Based on the problems that occurred, this study raised the title "Expert System for Diagnosing Pests and Diseases of Watermelon Plants using the Certainty Factor Method and the Bayes Method" to overcome the ignorance of farmers in detecting watermelon disease by entering various characteristics listed in the system based on plant events, the system will provide insight based on existing characteristics using a certainty factor algorithm which will then compare the results with the Bayes method
Co-Authors Agyei Fosu Ajeng Arifa Chantika Rindu Andhika Octa Indarso Arif Maulana Rahman Helena Nurramdhani Irmanda Helena Nurramdhani Irmanda Henki Bayu Seta I Wayan Widi Pradnyana Ika Nurlaili Isnainiyah Jayanta Jayanta Kukuh Bagas Permadi Luqman Imam Nurul Chamidah Santoni, Mayanda Mega Sarika Afrizal Shinta Widyastuti Widya Cholil Yulnelly Yulnelly Zaidiah, Ati