Analisis Pengaruh Strategi Pembelajaran Terhadap Prestasi Akademik Mahasiswa Gen-Z dengan Visualisasi Data Menggunakan Matplotlib pada Python

Abstract

This research examines the influence of learning strategies on the Grade Point Average (GPA) of Generation Z (Gen-
Z) students. The background of this research is to understand how the learning strategies used by Gen-Z students
affect their GPA. The research aims to analyze the influence of various learning strategies, identify the most effective
ones, and demonstrate the use of the Matplotlib library in Python for data visualization. This research is quantitative
in nature using statistical methods to evaluate the results. Data was collected through a questionnaire distributed to
students, including the frequency of using learning strategies such as reading books, watching YouTube tutorials,
doing practice questions, taking private lessons/online tutoring, and participation in training/seminars/workshops.
Data analysis was carried out using Python and the Matplotlib library to visualize the data and provide a clear picture
of the effectiveness of the learning strategy implemented. The research results show that active and technology-
integrated learning strategies have a significant influence on increasing the academic achievement of Gen-Z students.
Specifically, strategies such as watching YouTube tutorials and doing practice questions had a positive correlation
with improving students' GPAs. These findings indicate the importance of adapting learning methods that suit the
characteristics and learning preferences of Gen-Z students.