Weather data processing application system web-based for pest control of rice plants diseases

Abstract

One of the factors that influence the success of rice cultivation is the control of pest and disease disruption. Disruption and development of disease pests are very dependent on the weather conditions so that weather information is needed that develops in the planting area so that disruption and the development of pest pests can be controlled and does not have a significant effect on the productivity of rice plants. Therefore, we need a way that can be used as a guide for farmers so that they can overcome the limitation of farmer’s knowledge on the effects of changing weather conditions. The main weather components that affect the growth and development of rice plant pests are temperature and humidity. The research aims to develop software that functions to process temperature and humidity data on the growth and development of rice plant pests so that it can help farmers to maintain the development and control of rice plant pests. The system design method used is object-oriented methods, namely the Rational Unified Process, which consists of several stages including inception, elaboration, construction, and transition. The application system developed was designed using web-based technology that can be accessed through the use of smartphones so that farmers can easily access it. With a simple appearance and user-friendly interface, it makes it easier for farmers to understand the features available in the application system.