Intelligent System Concept of Integrated Education History in Single Identity Number Using Grid-Based Model (GBM)

The growing number of educated individuals in Indonesia is the reason behind the significance of research on intelligent system development, which can yield a new model to assess the accuracy of data on educated individuals in Indonesia. This will allow all education data to be integrated with the Single Identity Number, facilitating the retrieval of information on educated individuals such as elementary graduates, junior high school graduates, high school graduates, young experts, associate experts, bachelors, masters, and doctors. Naturally, the Grid-Based Model (GBM) is the ideal role model to use in order to maximize accuracy in the construction of this intelligent system when measuring data accuracy for graduates of formal education. In order to make it simpler to determine research outcomes, while developing an intelligent system in research employing the Paradigm Model of Verification, Evaluation, Restructuring, Data Integration (VERDI Model). It is anticipated that this research will result in an intelligent system that achieves ideal data accuracy within the range of 65% to 100%. The achievement of highly optimal accuracy can have a beneficial effect on the data integration of Indonesian graduates in education. Unfied Modeling Language (UML), an object-oriented design tool, will be used for the design modeling of this intelligent system's development, whereas flowcharts are used for the design of the study's algorithm model.