Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Jurnal Penalaran dan Riset Matematika
Arwin Wahyu Saputra
Unknown Affiliation
Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengaruh Model Probing Prompting terhadap Hasil Belajar Matematika Siswa Kelas VII SMP Islam Darusslam Kabupaten Gowa Hastuti Agussalim; Nur Aisyah; Arwin Wahyu Saputra; Muhammad Zakkir; Siti Maulida Hasanah
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 3 (2025): Desember : JURRIMIPA: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i3.7525

Abstract

This study is a quasi-experimental study that aims to determine the effect of the Probing-Prompting model on the mathematics learning outcomes of seventh-grade students of SMP Islam Darussalam. The sample in this study consisted of class VII-A which was used as an experimental class, which was taught using the Probing-Prompting model, and class VII-B which was used as a control class, which was taught using the lecture method. Based on the results of descriptive statistical analysis, it was found that the group taught with the Probing-Prompting model had learning outcomes categorized as moderate with an average value of 60.41, while the group taught with the lecture method had learning outcomes categorized as low with an average value of 42.94. The results of the inferential analysis showed a t_count value of 2.388, while the t_table was 1.69. This indicates that the Probing-Prompting model has a significant influence on improving students' mathematics learning outcomes, where students taught with the Probing-Prompting model showed higher learning outcomes compared to students taught with the lecture method.  
Integration of Local Ethnomathematics Based on Artificial Intelligence (AI) in Enhancing Students’ Critical Thinking Skills Sape, Herwandi; Firdaus, Andi Mulawakkan; Arwin Wahyu Saputra; Muh. Fachrullah Amal
Jurnal Penalaran dan Riset Matematika Vol. 4 No. 2 (2025): Jurnal Penalaran dan Riset Matematika
Publisher : Almeera Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62388/prisma.v4i2.609

Abstract

This study aims to examine the effect of integrating local ethnomathematics based on Artificial Intelligence (AI) on students’ mathematical critical thinking skills. The research employed a quantitative approach with a quasi-experimental design using a non-equivalent control group design. The study was conducted at SMA Negeri 3 Maros, involving 54 eleventh-grade students divided into an experimental class (27 students) and a control class (27 students). The experimental class received mathematics instruction through the integration of local ethnomathematics supported by an AI-based adaptive learning system, while the control class was taught using conventional methods. Data were collected using a critical thinking test administered as pretest and posttest, based on indicators of analysis, evaluation, inference, and conclusion. The results revealed that the experimental class achieved a higher mean posttest score (88.40) compared to the control class (83.20). The N-Gain score of the experimental class (0.78; very high category) was also greater than that of the control class (0.68; high category). Independent samples t-test indicated a significant difference between the two groups (p < 0.05). These findings demonstrate that integrating local ethnomathematics with AI significantly enhances students’ mathematical critical thinking skills and provides an innovative, contextual, and adaptive learning alternative.
Co-Authors Firdaus, Andi Mulawakkan Hastuti Agussalim Herwandi Sape Muh. Fachrullah Amal Muhammad Zakkir Nur Aisyah Siti Maulida Hasanah