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All Journal Jurnal Elemen Jurnal Geuthee
Dwi Fadhiliani
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Education Energy Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Classification of Nek Ali Coffee’s customers using the fishers method Khairul Umam; Suhartati Suhartati; M Hasbi; Dwi Fadhiliani; Annisa Dewi
Jurnal Geuthèë: Penelitian Multidisiplin Vol 6, No 3 (2023): Jurnal Geuthèë: Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/jg.v6i3.264

Abstract

 This study uses discriminant analysis which aims to determine a model or formula that determines consumer groups who are interested in powdered, coffee bean, or instant coffee variants from several influencing variables, including coffee caffeine content, sugar content contained in coffee, coffee roasting level, quality coffee, coffee price, consumer age, consumer health, time of day consumer activity, and durability. The subjects of this research were the consumers of Nek Ali's Coffee with a total of 82 samples. The data obtained in this study were analyzed using discriminant analysis of three groups, namely the consumer group who are interested in coffee powder, coffee beans, and instant coffee. This study uses Discriminant Fisher's through SPSS software, the discriminant model or formula is obtained, as follows:Y1 = (0.08)X1 + (0.948)X2 + (0.332)X3 + (0.633)X4 + (0.576)X5 – (0.003)X6 + (1.825)X7 – (1.140)X8 = 0Y2 = (0.012)X1 + (0.868)X2 + (0.351)X3 + (0.591)X4 + (0.621)X5 – (0.002)X6 + (1.841)X7 – (0.592)X8 = 0Y3 = (0.081)X1 + (0.944)X2 + (0.349)X3 + (0.607)X4 + (0.581)X5 – (0.002)X6 + (1.971)X7 – (0.592)X8 = 0 
Unpacking research on computational thinking in mathematics education: A systematic literature review Cut Morina Zubainur; Cut Rina Rossalina; Muhammad Subianto; Dwi Fadhiliani
Jurnal Elemen Vol 11 No 2 (2025): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v11i2.29183

Abstract

Computational Thinking (CT) is an essential 21st-century skill to prepare students for higher education and future careers. However, comprehensive insights into how CT is effectively implemented in mathematics learning regarding strategies, suitable topics, and integration trends are still limited. This systematic review explores empirical studies on CT in mathematics education from December 2019 to November 2024, sourced from Emerald, EBSCO, and ProQuest databases. Following PRISMA guidelines, 22 articles were selected from an initial 8,518 based on defined inclusion and exclusion criteria. The findings show that CT strongly supports students’ problem-solving skills, particularly through Project-Based Learning (PjBL), which fosters engagement, collaboration, and algorithmic thinking. Geometry and statistics emerged as the most effective topics for developing CT, as they promote decomposition, pattern recognition, and abstraction skills aligned with junior high school cognitive development. Although CT-related research varies in focus, integrating CT into mathematics remains vital, especially with the rise of digital tools and interdisciplinary learning. This review provides insight into current research trends, key strategies, and appropriate mathematical content for CT development. Recommendations include providing CT training for teachers, embedding CT into the curriculum, and encouraging interdisciplinary collaboration to equip students with the digital-age competencies needed for real-world problem-solving and conceptual understanding.
Co-Authors Annisa Dewi Cut Morina Zubainur Cut Rina Rossalina khairul Umam M Hasbi Muhammad Subianto Suhartati Suhartati