Article
STEM-Based Green Statistics: Integrating the Green Economy into Elementry School Students Mathematical Thingking Skills
Jurnal Pendidikan Matematika, Vol. 17 No. 2 (2026), hlm. 147–159
Abstrak
Green Statistics is a statistics learning approach that integrates STEM concepts of the green economy through environmental problem contexts to connect mathematical concepts with everyday life. The context used is the management of organic and inorganic waste as a representation of the application of the green economy in learning. This study aims to describe the mathematical thinking skills of elementary school students through the implementation of STEM-based Green Statistics in statistics lessons. The study employs a qualitative descriptive approach with an exploratory research design. Instruction was conducted using STEM-based teaching modules and worksheets that integrate the context of organic and inorganic waste management. The research subjects were fifth-grade students grouped into high, moderate, and low ability categories. Data were collected through tests, observations, interviews, and documentation. Data analysis used the Miles and Huberman model. The results showed that the implementation of STEM-based Green Statistics provided a context that guided students to collect, process, present, and interpret data based on environmental issues. Students with high ability were able to meet all indicators; students with moderate ability were able to meet most indicators; whereas students with low ability were not yet able to meet most of the mathematical thinking ability indicators. These findings indicate that students’ mathematical thinking abilities exhibit distinct characteristics across each ability category when solving statistical problems through the implementation of STEM-based Statistics.