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All Journal Jurnal E-Komtek Edumatica: Jurnal Pendidikan Matematika
Saputra, Danny
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Computer Science & IT Electrical & Electronics Engineering Mathematics

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Perancangan Sistem Informasi Alumni Berbasis Website dengan Menggunakan PHP MYSQL di Politeknik Dharma Patria Kebumen Saputra, Danny; Ari Waluyo
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 4 No 2 (2020)
Publisher : Politeknik Dharma Patria Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v4i2.406

Abstract

Penelitian ini bertujuan untuk mengetahui sistem website alumni dengan menggunakan PHP MySQL yang sedang berjalan di Politeknik Dharma Patria Kebumen. Metode penelitian yang digunakan adalah dengan observasi di tempat penelitian, wawancara dan kajian pustaka. Oleh karena itu, diperlukan sebuah perancangan sistem website alumni dengan menggunakan PHP MySQL dengan basis data yang lebih terintegrasi agar website alumni dapat diakses secara global lebih efektif dan efisien. Konsep dari perancangan sistem informasi ini menggunakan pendekatan berorientasi objek dengan pemodelan UML (Unified Modelling Language). Sedangkan metode pengembangan perangkat lunak waterfall yang digunakan dan menggunakan basis data MySQL. Hasil pengujian pada sistem website alumni di Politeknik Dharma Patria Kebumen dapat digunakan dengan baik dan efektif sebagai database alumni yang lengkap.
Students’ Computational Thinking in GeoGebra-Based Geometric Transformation Learning: Analytical Dimensions of the Visual-Algorithmic Process Simarmata, Ruth Helen; Esterlina, Esterlina; Saputra, Danny; Afif, Hasna; Lesmana, Hendra
Edumatica : Jurnal Pendidikan Matematika Vol 16 No 2 (2026): Edumatica: Jurnal Pendidikan matematika (Agustus 2026)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/edumatica.v16i2.55987

Abstract

Geometric transformation requires students to integrate visual, symbolic, and procedural reasoning to understand changes in geometric objects. However, students recognized transformation patterns visually but struggled to translate them into systematic, mathematically justified procedures. This study aimed to analyze the relationship between visual exploration and algorithmic reasoning in GeoGebra-based geometric transformation learning, identify the visual-algorithmic gap across computational thinking categories, and identify instructional scaffolding needs. This study used an explanatory sequential mixed-methods design with 62 students. Data were collected through computational thinking tests, classroom observation, and interviews with three purposively selected students. Four computational thinking indicators: decomposition, pattern recognition, abstraction, and algorithmic thinking, were used to assess students’ competencies, while five analytical dimensions: visual exploration, pattern recognition, rule abstraction, algorithmic reasoning, and mathematical justification, were used to interpret how these competencies were manifested. The computational thinking test results showed that 12 students were in the high category, 33 in the moderate category, and 17 in the low category. High-category students consistently connected visual and coordinate patterns with general transformation rules, systematic procedures, and mathematical justification. Moderate-category students could recognize visual and coordinate patterns. The low category relied heavily on visual representations. These findings identified a visual-algorithmic gap and indicated the need for scaffolding.
Co-Authors Afif, Hasna Ari Waluyo Esterlina, Esterlina Hendra Lesmana Simarmata, Ruth Helen