Kemampuan Representasi Matematis Siswa melalui Model Problem Based Learning (PBL) pada Materi Statistika

Abstract

Mathematical representation is a crucial skill for students to acquire in order to effectively learn mathematics. However, preliminary findings suggest that students face challenges in enhancing their mathematical representation skills when learning fails to instill in them the habit of active thinking and reasoning during the learning process. One alternative learning model that can address this issue is the Problem-Based Learning (PBL) model. This study aims to evaluate students' mathematical representation abilities while studying statistical content at one of the Public junior high schools in Langsa, Indonesia, using the PBL model. The research methodology employed a quantitative approach with a pre-experimental one-shot case study design. The sample, consisting of 27 students from class VIII/2, was selected randomly. The test of mathematical representational ability used in this study comprised four questions describing statistical data organized based on markers of mathematical representation ability. A t-test was employed to analyze the test data and determine the validity of the hypothesis. The results indicated that students' representation abilities through learning with the PBL model regarding statistical material at the studied school did not reach the "good" category. Several obstacles were identified during the research, including (1) incongruity between student worksheets and research instruments and (2) challenges faced by some students in maintaining focus and discipline when working in groups.