Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal SIGMA: Jurnal Pendidikan Matematika M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika
Muhammad Syafey Siregar
UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan
Education Mathematics Other

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

Found 2 Documents
Search

 1 
SYSTEMATIC LITERATURE REVIEW: APLIKASI, APROKSIMASI, DAN PENGEMBANGAN MODEL DISTRIBUSI PROBABILITAS DISKRIT UNTUK DATA HITUNGAN DAN KUALITAS Dewi Aminah Hasibuan; Muhammad Syafey Siregar; Almira Amir
SIGMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 17 No. 2: Desember 2025
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/0aw3tt19

Abstract

Systematic literature review (SLR) ini bertujuan untuk menganalisis perkembangan mutakhir dalam aplikasi, hubungan teoritis, dan inovasi pemodelan Distribusi Probabilitas Diskrit menggunakan korpus sembilan artikel jurnal yang terfokus pada Distribusi Binomial, Poisson, Hipergeometrik, serta variasinya. Analisis tematik yang mendalam mengidentifikasi tiga domain penelitian krusial: 1) Aplikasi Klasik, yang menunjukkan relevansi model dasar dalam mengukur probabilitas keberhasilan di sektor pendidikan, kualitas layanan, dan pengendalian produksi; 2) Validasi Teoritis dan Praktis Aproksimasi Antar Distribusi, yang membahas konvergensi menuju Distribusi Normal dan dampaknya pada acceptance sampling (sampling penerimaan); dan 3) Pengembangan Model Mixed Poisson Baru untuk mengatasi masalah overdispersion pada data hitungan (count data). Temuan kunci menunjukkan bahwa model Poisson standar yang mengasumsikan equidispersion (rata-rata sama dengan varians) semakin tidak memadai untuk data frekuensi klaim asuransi dan data radiasi. Hal ini mendorong penciptaan model-model yang lebih fleksibel, seperti Distribusi Poisson-Darna dan Distribusi Mixed Poisson Transmuted Weighted Exponential, yang memberikan kecocokan superior dalam pemodelan data kompleks di dunia nyata.
The Effectiveness of Using ChatGPT in Mathematics Learning at The Junior High School Level: A Systematic Literature Review Nanda Sri Rizki Harahap; Deswita Siagian; Minarni Ikhrimah Harahap; Dinda Erliananda; Palwina Machrani; Muhammad Syafey Siregar; Ahmad Nizar Rangkuti
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 3 (2026): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v11i3.1165

Abstract

The development of artificial intelligence (AI) has opened up new opportunities in education, one of which is through the use of ChatGPT as a learning aid. This study aims to systematically analyze the effectiveness of using ChatGPT in mathematics learning at the junior high school level based on a review of published literature. The method used is a Systematic Literature Review (SLR) by adopting the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol. The literature search was conducted in the Google Scholar, ERIC, Scopus, and ResearchGate databases with a publication range of 2022–2024. Of the 247 articles found, 28 articles met the inclusion criteria and were analyzed in depth. The results of the study indicate that: (1) ChatGPT has the potential to support junior high school mathematics learning, particularly in conceptual understanding, problem solving, and learning engagement, although the direction and magnitude of reported effects vary depending on instructional design, teacher guidance, and students’ digital literacy; (2) the metacognitive dimension remains the least explored despite showing strong potential; and (3) ChatGPT’s effectiveness is strongly influenced by the digital literacy of both teachers and students. The novelty of this research lies in the development of a framework for ChatGPT effectiveness indicators consisting of four dimensions: cognitive, affective, metacognitive, and pedagogical, which has not been found in previous studies. This research recommends the structured integration of ChatGPT into the junior high school mathematics curriculum with adequate teacher guidance.
Co-Authors Ahmad Nizar Rangkuti Almira Amir Deswita Siagian Dewi Aminah Hasibuan Dinda Erliananda Minarni Ikhrimah Harahap Nanda Sri Rizki Harahap Palwina Machrani