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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) J-PAI: Jurnal Pendidikan Agama Islam Jurnal Elemen JIP: Jurnal Ilmiah PGMI Terampil : Jurnal Pendidikan dan Pembelajaran Dasar IJIET (International Journal of Indonesian Education and Teaching) Jurnal Pendidikan (Teori dan Praktik) Pendas : Jurnah Ilmiah Pendidikan Dasar AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM AT-TURAS: Jurnal Studi Keislaman SIGMA Gammath : Jurnal Ilmiah Program Studi Pendidikan Matematika Auladuna : Jurnal Prodi Pendidikan Guru Madrasah Ibtidaiyah Journal of Education and Learning Mathematics Research (JELMaR) INTEGRITAS : Jurnal Pengabdian JURNAL AXIOMA : Jurnal Matematika dan Pembelajaran Bidayatuna: Jurnal Pendidikan Guru Mandrasah Ibtidaiyah Jurnal Consulenza : Jurnal Bimbingan Konseling dan Psikologi Al-Ashr : Jurnal Pendidikan dan Pembelajaran Dasar FAJAR Jurnal Pendidikan Islam Al-Khidmah Jurnal Pengabdian Masyarakat JP (Jurnal Pendidikan) : Teori dan Praktik MIMBAR INTEGRITAS Jurnal Penelitian Kelimutu Journal of Community Service Jurnal Ilmu Pendidikan dan Pembelajaran jabdimasunipem Journal of Community Empowerment for Multidisciplinary (JCEMTY) Edu Journal Innovation in Learning and Education ECJ: Early Childhood Journal MEDIAKOM : Jurnal Ilmu Komunikasi Gammath : Jurnal Ilmiah Program Studi Pendidikan Matematika AL-ADABIYAH: Jurnal Pendidikan Agama Islam Media Pendidikan Matematika Jurnal Ilmiah Matematika Realistik International Journal of Review in Mathematics Education
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Evolution of Deep Learning and Its Reflection on Statistical Mathematics Learning Saputra, Muhammad Akhyar Aji; Crismono, Prima; Hudi, Saman
International Journal of Review in Mathematics Education Volume 1 No. 1: March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijrime.14812

Abstract

This study aims to evaluate the development, topic interconnections, and global research directions in the field of Deep Learning during the period 2019–2024, while also examining its implications for teaching statistical mathematics in the digital era. A bibliometric approach was used to analyze publication trends, citation patterns, and keyword relationships with the assistance of VOSviewer software. Data were obtained from the Scopus database using the main keywords “Deep Learning,” “Neural Networks,” and “Artificial Intelligence.” The results indicate that peak research activity occurred in 2022 with a significant surge in citations, followed by a decline in 2023–2024, marking a phase of research stabilization. Network analysis revealed that topics such as computer vision, medical imaging, and unsupervised learning dominate, while emerging trends like federated learning and edge computing are beginning to develop toward privacy and computational efficiency. Geographically, the United States and China are the main contributors to scientific publications, followed by Germany, the United Kingdom, and Australia. These findings highlight that the core success of Deep Learning is fundamentally grounded in statistical mathematics, particularly in optimization and probabilistic modeling. Accordingly, the implications for teaching statistical mathematics involve reorienting curricula toward applied, data-driven contexts emphasizing probabilistic thinking, algorithmic reasoning, and the integration of computational tools. Such an approach encourages students to bridge theoretical understanding with real-world problem solving in artificial intelligence and data science.
Gamification of Tug of War Based on Interactive Flat Panel (IFP) on Motivation and Mathematics Learning Outcomes of Third Grade Elementary School Student Jarno, Moh. Syalman alfaritzi; Yanuardianto, Elga; Crismono, Prima Cristi
TERAMPIL: Jurnal Pendidikan dan Pembelajaran Dasar Vol 13 No 1 (2026): TERAMPIL
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/terampil.v13i1.29352

Abstract

This study aims to analyze the Interactive Flat Panel (IFP)-based tug-of-war gamification on the motivation and mathematics learning outcomes of elementary school students. The study used a quantitative approach with a one group pretest–post-test design involving 28 third-grade elementary school students in Jember Regency. The research instruments were learning outcome tests and motivation questionnaires based on the ARCS (Attention, Relevance, Confidence, and Satisfaction) model. Data were analyzed using normality tests, N-gain tests, and paired samples t-tests. The results showed that there was a significant increase in student learning outcomes and motivation after the implementation of IFP-based gamification. The average learning outcome score increased from 56 to 87 with an N-gain of 0.71 (high category), while learning motivation increased from 57 to 80 with an N-gain of 0.52 (moderate category). The results of the paired samples t-test showed a significant difference between the pretest and post-test in both variables (p < 0.05). These findings indicate that the integration of gamification and IFP media not only increases student learning engagement but also strengthens conceptual understanding through interactive and collaborative learning experiences. This research provides a novel contribution to the development of classical gamification-based mathematics learning, particularly through an IFP-based tug-of-war game model that can accommodate direct group interaction.
MENERAPKAN THEORY OF PLANNED BEHAVIOR UNTUK MEMAHAMI DAN MEMPREDIKSI PERILAKU BERPIKIR LATERAL:INTERGRASI KREATIVITAS DALAM PSIKOLOGI PERILAKU Prima Cristi Crismono; Hovi Abdillah; Musfiqurrohman Musfiqurrohman; Uswatun Hasanah; Riza Dwi Yuliandani
Al-Ashr : Jurnal Pendidikan dan Pembelajaran Dasar Vol 8 No 2 (2023): September
Publisher : PGMI Fakultas Tarbiyah Universitas Islam Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/alashr.v8i2.2945

Abstract

Penelitian ini bertujuan untuk menjawab bagaimana sikap, norma subjektif, dan kontrol perilaku yang dirasakan mempengaruhi niat individu untuk berpikir lateral, dengan latar belakang bahwa Theory of Planned Behavior (TPB) dan konsep berpikir lateral dari Edward de Bono telah terbukti efektif secara terpisah namun belum banyak diteliti secara integratif. Mengambil posisi untuk mengintegrasikan TPB dalam konteks berpikir kreatif, penelitian ini menggunakan pendekatan kuantitatif dengan desain survei terhadap 300 mahasiswa dan profesional muda di Indonesia. Instrumen berupa kuesioner yang mengukur konstruk utama TPB diisi oleh responden, dengan data dianalisis menggunakan SPSS dan AMOS. Hasil menunjukkan bahwa sikap terhadap berpikir lateral (β = 0,45), norma subjektif (β = 0,30), dan kontrol perilaku yang dirasakan (β = 0,25) semuanya berpengaruh signifikan terhadap niat untuk berpikir lateral, yang pada gilirannya berpengaruh signifikan terhadap perilaku berpikir lateral (β = 0,50), dengan model menjelaskan 55% varians dalam niat dan 50% varians dalam perilaku berpikir lateral. Temuan ini memperkuat validitas TPB dalam konteks berpikir kreatif dan menawarkan implikasi praktis untuk program pendidikan dan pelatihan yang bertujuan meningkatkan kreativitas melalui intervensi yang memperkuat sikap positif, dukungan sosial, dan kontrol perilaku yang dirasakan.