Exploring BSIT Graduates Employability Utilizing K-Means Clustering Technique

As higher education institutions strive to ensure the relevance of academic programs, graduate employability has become a critical metric. This study investigates the employment outcomes of Bachelor of Science in Information Technology (BSIT) graduates from Isabela State University–Echague Campus from 2018 to 2022. Using a descriptive-exploratory research design, the study utilized the K-means clustering algorithm, a data mining technique, to analyze responses from 155 out of 230 graduates with 67.39% response rate. Data were collected through a CHED-aligned graduate tracer questionnaire via Google Forms. The dataset underwent preprocessing, descriptive statistical analysis, and unsupervised machine learning using Google Colab with Python. Findings revealed a high employment rate of 94.19%, with most graduates securing jobs within one year. Dominant job roles included Admin Officer, Office Clerk, and Programmer, reflecting both administrative and IT-focused employment trends. Key factors aiding job placement included educational qualifications, online applications, and personal recommendations. The clustering analysis generated three distinct clusters, which offer insight into graduate readiness and support mechanisms. The outcomes emphasize the importance of academic quality, industry-aligned competencies, and career support in enhancing employability. Results can inform curriculum development, graduate services, and institutional policies.