Big Data and Internet of Things Web Service Management to Support Salt Agriculture Automation

The integration of the internet of things in the information system application service web platform implemented in the supply chain has given rise to new formats and models, which are important manifestations of industry transformation and improvement. In the context of implementing long-term rural development plans, deep integration of the application of information technology and rural revitalization will act as a trigger that drives productivity and the development of other village business industries. The purpose of this research is to build a web service management model that can be used to manage and help optimize IoT-based salt farming production. The model built consists of software and hardware architectures and interconnections between tools. This research is divided into three stages: the first stage is to identify the data sources needed for big data needs, the second stage is to build a big data microservices model and the IoT model, the third stage is to integrate IoT data with the big data microservices model that has been built. The results of this study are in the form of an IoT device that can be run with big data micro services. The resulting IoT device can be used to automate water distribution based on the salinity value measured using a sensor.

@article{Imam2022,
  title     = {Big Data and Internet of Things Web Service Management to Support Salt Agriculture Automation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {12},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Muhammad Choirul Imam and Dedi Trisnawarman and Hugeng and Hetty Karunia Tunjung Sari},
  doi       = {10.14569/IJACSA.2022.0131236},
  url       = {https://doi.org/10.14569/IJACSA.2022.0131236}
}