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All Journal G-Tech : Jurnal Teknologi Terapan Journal of Educational Sciences
Zainuddin , Mohammad
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Library & Information Science Other

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Development of the Educational Game Tool "Fun Mathematic Board" as a Numeracy Learning Medium for 5–6-Year-Old Children at Al Azhar Islamic Kindergarten Tulungagung Agya, Badi Fadila Nur; Zainuddin , Mohammad; Wahyuni, Sri
Journal of Educational Sciences Vol. 9 No. 4 (2025): Journal of Educational Sciences
Publisher : FKIP - Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jes.9.4.p.1844-1855

Abstract

Teaching numeracy in early childhood significantly influences cognitive and academic development. Insufficient numeracy stimulation during the golden age may lead to future difficulties in learning mathematics and long-term life challenges. Early childhood education serves as a bridge to introduce foundational numeracy skills, making it essential to implement effective teaching strategies. A play-based approach using educational game media is an effective solution for numeracy learning in children aged 5–6 years. This research and development study produced the Fun Mathematic Board, an educational board game designed to enhance early numeracy skills. The game's feasibility was evaluated by game experts, subject matter experts, and users. The validation results showed that material experts rated it 89.06%, while game experts gave it 98.44%. The feasibility test results confirmed the game's suitability without revision, with a 93.1% approval rating in small-group trials and 91.5% in large-group trials. These findings highlight the Fun Mathematic Board as an effective tool for early numeracy learning.
Classification of Mosque Typology Based on Distribution and Quantity Using K-Means Clustering in Indonesia Hendriansyah, Wahyu; Zainuddin , Mohammad
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8371

Abstract

The objective of this study is to classify mosque typologies in Indonesia based on their quantity and spatial distribution using the K-Means Clustering algorithm. The dataset was obtained from the official website of the Ministry of Religious Affairs of the Republic of Indonesia and comprises the number of registered mosques across 34 provinces for the 2019–2023 period. The preprocessing procedures included data cleaning, provincial-level aggregation, and annual normalization to ensure consistency and comparability. The optimal number of clusters was determined through the Elbow Method, yielding three provincial categories (high, medium, and low) based on mosque density, referring to the total mosques recorded in each province. Centroid analysis revealed clear quantitative disparities among the clusters, while the spatial visualization showed a distinct geographical pattern in which western provinces such as West Java, Central Java, and East Java exhibited significantly higher mosque counts compared to eastern provinces such as Papua, Maluku, and East Nusa Tenggara. Collectively, these findings provide a rigorous, data-driven depiction of mosque distribution in Indonesia and offer a substantive foundation for advancing more equitable and sustainable religious infrastructure planning.
Co-Authors Agya, Badi Fadila Nur Hendriansyah, Wahyu Sri Wahyuni