Ramadhan, Muhammad Ikhsan (2025) Implementasi Algoritma FP-Growth Terhadap Pola Prokratinasi Akademik Mahasiswa. Other thesis, Universitas Islam Riau.

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Abstract

This research aims to implement the Frequent Pattern Growth (FP-Growth) algorithm to analyse the pattern of academic procrastination among students from Universitas Islam Riau (UIR), Universitas Riau (UR), Universitas Muhammadiyah Riau (UMRI), and Universitas Islam Negeri Sultan Syarif Kasim (UIN SUSKA) in Pekanbaru City. The main focus of this study is the tendency of students to postpone the completion of academic assignments, which is not only caused by many activities, but also by the tendency to divert attention to more pleasant things, causing panic before the deadline. This study used a survey method by collecting primary data through Google Form from September to December 2024, involving 334 respondents on 13 behavioural attributes. The data was then processed through a preprocessing stage using the one-hot encoding method to convert categorial attributes into numerical format. The FP-Growth algorithm was applied with a minimum support parameter of 0.15 and a minimum confidence of 0.8. The analysis results revealed a number of significant procrastination patterns, namely: students who only spend 1-2 hours studying and very often postpone academic work, have a 93% tendency to postpone exam preparation. In addition, students who often postpone exam preparation, very often postpone academic work, and feel mediocre with their current learning methods, have a 92% tendency to experience moderate levels of stress towards academic tasks. These findings confirm the effectiveness of the FP-Growth algorithm in identifying hidden patterns in academic procrastination behaviour.

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