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All Journal JOKI: Journal of Computing and Informatics CODEX: Journal of Software Engineering
Dian Widiarti
Universitas Abdurachman Saleh
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Web-Based Rice Leaf Disease Classification Using CNN Dian Widiarti; Olabode D. Ibini
JOKI: Jurnal Komputasi dan Informatika Vol 3 No 1 (2026): June 2026
Publisher : CV. Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65678/joki.v3i1.374

Abstract

Rice productivity is significantly affected by leaf diseases that reduce crop yield and quality. Conventional disease identification methods rely on manual observation, which is often time-consuming, subjective, and prone to misclassification due to similarities in visual symptoms. This study proposes an automated image-based classification system to detect rice leaf diseases accurately and efficiently. The system utilizes a deep learning model based on convolutional neural networks to classify rice leaf images into three disease categories: neck blast, leaf blight, and rice hispa. A dataset consisting of 3,631 images was used, with 80% allocated for training, 10% for validation, and 10% for testing. Image preprocessing techniques, including resizing, normalization, and augmentation, were applied to improve model performance and generalization. The experimental results show that the proposed model achieved a testing accuracy of 97.80%, with high precision, recall, and F1-score across all classes. The trained model was then deployed into a web-based system that enables users to upload images and obtain real-time classification results. The findings demonstrate that the proposed system provides a reliable and practical solution for early disease detection, supporting precision agriculture and improving decision-making for farmers. The system also offers potential for further development into mobile and integrated smart farming platforms.
WEB-BASED ACADEMIC INFORMATION SYSTEM DEVELOPMENT USING AGILE: A HIGHER EDUCATION CASE STUDY Ahmad Halimi; Maulidiansyah Maulidiansyah; Dian Widiarti
CODEX: Journal of Software Engineering Vol 1, No 2 (2026): June 2026
Publisher : Nurul Jadid University, Paiton Probolinggo, East Java

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/codex.v1i2.15592

Abstract

This research aimed to develop a web-based academic information system using the Agile method to improve academic data management in a higher education institution. The background of this study was based on the need for a more efficient, integrated, and accessible system to manage academic activities, such as student data, lecturer data, course data, schedules, attendance, grades, and academic reports. This research used a research and development approach with a case study design. The system development process followed Agile stages, including requirement analysis, sprint planning, system design, implementation, testing, evaluation, and revision. Data were collected through observation, interviews, and document analysis to identify user needs and academic administration problems. The system was implemented with role-based access for administrators, lecturers, and students. The results showed that the developed system could manage academic data in an integrated manner, improve information access, and support faster academic reporting. Black-box testing showed that the main system functions worked properly, while user acceptance testing indicated positive user responses. This study concludes that the Agile method is suitable for developing an adaptive web-based academic information system.
Co-Authors Ahmad Halimi Maulidiansyah Olabode D. Ibini