Perancangan Sistem Informasi Website Agriino Untuk Monitoring Daun Kopi Menggunakan Metode Scrum

Abstract

Conventional monitoring of coffee leaf nitrogen levels is still performed manually, making it difficult to comprehensively and accurately map nitrogen distribution across a field. This research aims to design a website-based information system called Agriino for monitoring coffee leaf nitrogen levels using the Ordinary Kriging spatial interpolation method. The system was developed using the Scrum method through four sprints, covering product backlog, sprint planning, sprint execution, sprint review, and sprint retrospective stages. The main features include a monitoring feature for managing field and leaf measurement data, and a Kriging analysis feature for calculating and visualizing nitrogen distribution. Black-box testing on 17 test scenarios showed that all test cases were valid. The results indicate that the Agriino system can support more accurate and efficient monitoring of coffee leaf nitrogen levels.