TY - GEN
T1 - Management Information System for Micro Climate logging data using REST API with Prototype Approach in a Coffee Plantation in UB Forest
AU - Nurwarsito, Heru
AU - Al Azhar, Yusuf Putra
AU - Prayogo, Cahyo
AU - Oakley, Simon
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/9/13
Y1 - 2021/9/13
N2 - 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.
AB - 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.
KW - Coffee
KW - Laravel
KW - Microclimate
KW - ReactJS
KW - REST API
KW - Sensor
KW - UB Forest
UR - https://www.scopus.com/pages/publications/85118865980
U2 - 10.1145/3479645.3479655
DO - 10.1145/3479645.3479655
M3 - Conference contribution
AN - SCOPUS:85118865980
T3 - ACM International Conference Proceeding Series
SP - 86
EP - 93
BT - Proceedings of 2021 International Conference on Sustainable Information Engineering and Technology, SIET 2021
PB - Association for Computing Machinery
T2 - 6th International Conference on Sustainable Information Engineering and Technology, SIET 2021
Y2 - 13 September 2021 through 14 September 2021
ER -