IntelliSIS: Perception on the Design and Implementation of an Intelligent Student Information System

Student Information System (SIS) is significant to modern educational institutions, providing a centralized platform for student-related data handling and management. Traditional SIS often lacks the advanced capabilities to analyze data and predict student performance or academic success. This paper aimed to design and implement an SIS that integrates a machine learning model using Logistic Regression to provide predictive analytics on student performance or academic success in Mandaue City College (MCC) situated in Mandaue City, Cebu. A survey was conducted to the institution’s stakeholders, including office personnel, faculty, and students to assess current workflows, identify pain points, and their perception towards implementing an intelligent SIS highlighting its potential to transform student information management. The system development methodology will utilize the structured Waterfall Model. The findings showed that the proposed system should be further pursued which can significantly provide data-driven insights for improving the academic and operational aspects of the institution in providing better services to the students anchored towards the Strategy Map 2027 of the Mandaue City Government. Thus, the implementation of the intelligent SIS demonstrates its potential as a technological model for other local higher education institutions.