A Web-Based Monitoring System for Non-Pelleted Lettuce Seed Germination Using Double Diamond Design-Thinking and Incremental Model

Growing lettuce requires germination, an essential stage in cultivation, impacted by weather variables, farming technique, and seed quality. The germination success rate favored the growing method, and the cost of lettuce seeds varies depending on their type. This research aims to maximize the germination of non-pelleted Batavia lettuce seeds. The requirements analysis reveals that environmental factors like temperature, humidity, water level, and length of sun exposure affect the germination of non-pelleted lettuce seeds. Using Double Diamond Design-thinking and incremental models, the system is created and designed to monitor the environmental factors of lettuce. The readings are monitored and stored in a web application. The result indicates that improving the germination of non-pelleted lettuce seeds using the system increases efficacy and functioning with a mean difference of 23.47 at a 95% confidence level. The results show an improvement in germination rates for non-pelleted lettuce seeds compared to the conventional approach.