Skripsi
KEMAMPUAN MEMPREDIKSI POLA KONFIGURASI OBJEK SISWA KELAS VIII MTS AISYIYAH 1 PALEMBANG MELALUI MODEL DISCOVERY LEARNING BERBANTUAN GEOGEBRA
This research is motivated by the importance of predicting skills as a fundamental aspect of mathematical inference, enabling students to project beyond observed data. The study aims to describe the numerical predicting ability of eighthgrade students at MTs Aisyiyah 1 Palembang on object configuration patterns using the Discovery Learning model assisted by GeoGebra Web. A descriptive qualitative method was employed, involving 20 students as research subjects. The research instruments consisted of validated Student Worksheets (LKPD) integrated into GeoGebra Classroom and a written test. Analysis of the results indicates that students' predicting abilities are dominated by the "moderate" category (50%), followed by "high" (40%) and "low" (10%) categories. Specifically, the indicator for using regularities of observed results to predict variables achieved 93% (high category), while the indicator for stating occurrences in unobserved situations based on available information reached 71% (moderate category). Findings reveal that while students are proficient in near-visual predictions, they encounter obstacles in symbolic generalization for long-distance predictions. In conclusion, GeoGebra-based learning effectively stimulates students' predicting abilities at a procedural level; however, intensive guidance remains necessary to foster deeper relational understanding
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