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Nursing Informatics is becoming a trend in the nursing education sector and health care workforce. Belonging to the academic performance of the students, steps are necessary to improve it as performance and retention were becoming a great issue for educators, students and the nation. As the student performs, all academic measures were recorded into the database system, over the years it accumulated to a large amount. Data were forgotten, archived at the least. Then came educational data mining, with all its ability. Unknown and hidden data patterns of Nursing Informatics and accompanying subjects were extracted and analyzed using the same database grading system of Omar Al-Mukhtar University College of Nursing known as OMUCON-GSv1. Getting started with mining by employing database management methods and implementations like Structured Query Language to form a query, filter, pivot table and pivot chart, the system and the research generated valuable findings. The result of the study showed a favorable academic performance by the students of nursing and so with the ranking they got for Nursing Informatics. Overall the OMUCON-GSv1 can generate helpful and meaningful data as it promoted simple educational data mining. A vital element in the improvement of quality education for the College. Further study and advance data mining approach were recommended to greatly improve the outcome.

Libyan Students' Academic Performance and Ranking in Nursing Informatics - Data Mining for Starter's