Implementation of Data Mining to Find Association Patterns of Tracer Study Data Using Apriori Algorithm
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 07
Abstract
Knowing the distribution of alumni from a university is very useful as an evaluation material and a benchmark for teaching and learning activities at related universities. One way to get the distribution of alumni is to conduct a tracer study. In this research, a tracer study will be conducted and then the data will be processed with data mining techniques using the apriori algorithm. The data results in the form of relationship patterns between attributes will make it easier for decision makers in higher education to gain new knowledge about graduates and can be used to improve and ensure the quality of higher education. The tracer study conducted focuses on Informatics Engineering students of UIN Suska Riau who graduated in 2019 and 2020. The results of this study obtained new knowledge such as the first job of graduates with a waiting period of less than 6 months is as a contract or honorary employee with a salary between 3-5 million and has an ipk between 3-3.5.
Authors and Affiliations
Alwis Nazir , Iwan Iskandar , Teddie Darmizal,
Keywords
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- EP ID EP740774
- DOI 10.47191/etj/v9i07.22
- Views 19
- Downloads 0
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