Career Pattern Analysis of SMKN 1 Stabat Graduates Using K-Means Clustering Algorithm on Tracer Study Dataset

Ibrahim Ibrahim (Pascasarjana, Magister Teknologi Informasi, Universitas Pembangunan Pancabudi, Medan, Indonesia)
Muhammad Iqbal (Pascasarjana, Magister Teknologi Informasi, Universitas Pembangunan Pancabudi, Medan, Indonesia)

BIOS: Jurnal Informatika dan Sains
Vol. 2 No. 01 (2024): BIOS: Jurnal Informatika dan Sains, April 2024

Tracer study is a method commonly used to determine the condition of graduates of an educational institution, including the career patterns they pursue. This study aims to analyze the career patterns of SMKN 1 Stabat graduates by utilizing the K-Means clustering algorithm. The dataset was obtained from the results of a tracer study of 287 alumni of SMKN 1 Stabat. The dataset used came from a tracer study conducted on graduates in the last five years. By grouping data using K-Means, it is hoped that specific patterns can be found that can help schools improve the quality of learning and student work readiness.[4] The results of the analysis show several dominant career pattern groups, such as the industrial sector, entrepreneurship, and further education.