Management Information System for Micro Climate logging data using REST API with Prototype Approach in a Coffee Plantation in UB Forest

Measured at 554 hectares, Brawijaya University's forest is located in Karangploso, Malang. The university intends to utilize the forest for education purposes and as part of its community service plan. The yield of the forest is Green Beans, which is one of the finest coffee bean variants from Indonesia. Meanwhile, as El-Nino and La-Nina phenomena greatly affect the global climate nowadays, the changes also bring impacts to the yield of coffee beans. Responding to this situation, UB Forest procures a tool to measure climate indicators, such as air temperature, soil temperature, and soil moisture. However, this tool does not have an integrated monitoring system (a standalone system). Consequently, the forest conservators have to inspect the forest in person to conduct climate monitoring, requiring them to go through mountainous terrains. By taking advantage of the rapidly developing technology, this research aimed to create a website-based microclimate monitoring system that can remotely control the sensors in coffee fields. Utilizing RESTful API, the system sends data through sensors and presents them in a website built with Laravel and ReactJS. The system was subjected to testing with 100% unit test results and a value of 80 for usability testing.