Final Assignment Title Recommendation System Using Collaborative Filtering Method for Undergraduate Students of Informatics Engineering

Abstract

The final project title selection process is a crucial stage for undergraduate students of Informatics Engineering. The difficulty in determining a title that is relevant to their interests and abilities is often an obstacle. This research aims to develop a final project title recommendation system that can assist students in finding suitable research topics. This system utilizes a collaborative filtering approach to analyze historical data on course grades and student preferences. The results show that the item-based collaborative filtering method produces more accurate and relevant recommendations compared to the user-based collaborative filtering method. The RMSE value of the item-based collaborative filtering method (0.4985) is lower than the RMSE value of the user-based collaborative filtering method (0.9759). While the accuracy value of the item-based collaborative filtering method (0.5903) is higher than the user-based collaborative filtering method (0.0153).This system has the potential to optimize the final project title selection process, accelerate study time, and improve the quality of student research.