Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Mandiri IT Jurnal Sistem Informasi dan Manajemen
Azmi, Isni
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Mandiri IT

 1 
Application of expert system using certainty factor method to identify diseases in rice plants Azmi, Isni; Gunawan, Gunawan; Anandianskha, Sawaviyya
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.280

Abstract

This article explores the application of expert systems using certainty factor methods for disease identification in rice crops, highlighting the importance of information technology integration in agriculture. The study aims to develop a system that allows quick and accurate identification of rice disease, using certainty factor methods that are effective in dealing with data uncertainty. This study used a quantitative approach with a quasi-experimental design. The results indicate an effective system for identifying diseases, with significant implications for supporting farmers and improving food security. Suggestions for future research include system integration with mobile applications and real-time data analysis to improve system accessibility and applicability in modern agricultural practices.
Co-Authors Aang Alim Murtopo Anandianskha, Sawaviyya Gunawan Gunawan Santoso, Nugroho Adhi