Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal Informatic, Education and Management (JIEM) Nusantara Journal of Multidisciplinary Science
Sri Hudaya
Universitas Negeri Makassar
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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

Found 2 Documents
Search

 1 
Pengembangan LKPD Matematika Berbasis Deep Learning Untuk Meningkatkan Kemampuan Literasi Numerasi Dan Berpikir Kritis Siswa Sekolah Dasar Jamaluddin; Hamriani; Sri Hudaya
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 9 (2026): NJMS - April 2026
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rendahnya capaian literasi numerasi dan berpikir kritis siswa sekolah dasar di Indonesia menjadi persoalan mendesak yang memerlukan solusi inovatif berbasis bahan ajar. Penelitian ini bertujuan mengkaji kelayakan dan efektivitas Lembar Kerja Peserta Didik (LKPD) matematika berbasis deep learning dalam meningkatkan kemampuan literasi numerasi dan berpikir kritis siswa sekolah dasar. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan protokol PRISMA, melalui penelusuran basis data Google Scholar, ERIC, dan Semantic Scholar. Dari 309 artikel yang teridentifikasi, sebanyak 10 artikel memenuhi kriteria inklusi dan dianalisis secara mendalam. Hasil kajian menunjukkan bahwa LKPD berbasis deep learning secara konsisten menghasilkan tingkat validitas 77–90%, kepraktisan 84–100%, dan efektivitas yang dikonfirmasi melalui peningkatan N-Gain serta uji statistik yang signifikan. Pendekatan deep learning yang menekankan pembelajaran meaningful, mindful, dan joyful terbukti mampu meningkatkan literasi numerasi dan berpikir kritis siswa secara simultan. Penelitian ini menyimpulkan bahwa LKPD matematika berbasis deep learning merupakan inovasi bahan ajar yang valid, praktis, dan efektif untuk diterapkan di sekolah dasar
ANALYSIS OF ELEMENTARY SCHOOL STUDENTS' THINKING ABILITIES BASED ON SOLO TAXONOMY IN SOLVING HOTS MATHEMATICS PROBLEMS Jamaluddin; Hamriani; Sri Hudaya; Hamda; Syahrul syawal
Journal Informatic, Education and Management (JIEM) Vol 8 No 2 (2026): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v8i2.393

Abstract

The low level of higher-order thinking skills among elementary school students in mathematics remains a significant concern that demands systematic and in-depth examination. This study aims to: (1) describe the profile of elementary students' thinking abilities based on the Structure of Observed Learning Outcomes (SOLO) taxonomy; (2) identify the dominant SOLO taxonomy level achieved by students in solving mathematical Higher Order Thinking Skills (HOTS) problems; and (3) analyze the factors contributing to differences in students' SOLO taxonomy levels. This study employs a literature review method (library research) with a qualitative content analysis approach applied to ten relevant and verified scientific sources. The findings reveal that the thinking ability profile of elementary school students is predominantly concentrated at the multistructural level, where students can utilize more than one piece of information but are unable to integrate it comprehensively and coherently. Achievement at the relational and extended abstract levels remains considerably limited. Factors influencing these variations include cognitive style, metacognitive ability, prior mathematical knowledge, and instructional methods applied by teachers. This study affirms that the SOLO taxonomy serves as an effective diagnostic instrument for mapping the quality of students' thinking in a hierarchical and comprehensive manner.
Co-Authors Hamda Hamriani Jamaluddin jamaluddin Syahrul syawal