Pratiwi, Septia Ayu
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Number talks: Comparative insight into undergraduate and graduate student literacy Peni, Nur Robiah Nofikusumawati; Pratiwi, Septia Ayu; Prabowo, Anggit
Journal of Honai Math Vol. 7 No. 3 (2024): Journal of Honai Math
Publisher : Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jhm.v7i3.614

Abstract

Variations in competence and confidence among higher education students in mathematical literacy, numeracy, and logical thinking are crucial for developing critical reasoning, problem-solving skills, and the application of quantitative knowledge in both academic and real-world contexts. However, limited research has explored how students from different academic disciplines vary in their competence, confidence, and challenges related to these fundamental areas. This gap in the literature highlights the need for a comprehensive examination of such variations across diverse higher education fields. This study aims to compare the levels of mathematical literacy, numeracy, and logical thinking among university students, focusing on their knowledge, confidence, and the challenges they face. A comprehensive survey was employed, covering several dimensions of mathematical literacy, such as real-world applications of mathematics, numeracy comprehension, numerical self-confidence, and the role of emotions in logical thinking. Drawing on responses from Indonesian university students, the study reveals that students generally perceive their abilities as moderate to good, though significant differences are evident across academic disciplines and levels of study. A notable correlation was found between the focus of students' academic programs and their mathematics literacy, with certain disciplines demonstrating higher competency levels. The findings highlight the importance of integrating practical applications and emotional intelligence into mathematics education to foster greater confidence, knowledge, and engagement. This research contributes valuable insights into mathematical literacy and proposes new strategies to improve teaching practices and curricula. The comparative analysis offers a broader perspective, essential for shaping future assessments in mathematics, logical reasoning, and numeracy literacy.
Deteksi Tepi Menggunakan Metode Operator Prewitt dan Kirsch pada Citra Uang Kertas Sulistyo, Wicaksono Yuli; Arifah, Amalina Nur; Pratiwi, Septia Ayu
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 1 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i1.6292

Abstract

The importance of edge detection in image processing, especially on banknote objects, prompted this research to carry out an analysis of two edge detection methods, namely the Prewitt and Kirsch operators. five images of banknotes with different denominations (2000, 5000, 10000, 20000 and 50000) were taken as research objects. The edge detection method is implemented using MATLAB, utilizing both Prewitt and Kirsch operators. Image quality assessment uses PSNR, Histogram and Pixel value parameters. The comparison results show that the Prewitt and Kirsch operators provide optimal edge detection results, producing clear and sharp edges in the banknote image. The edge detection quality assessment was carried out through the PSNR metric, and both showed PSNR values above 30 dB, indicating good quality in terms of clarity and accuracy. Comparison of the Histogram and Pixel values shows that the Kirsch method has a higher Histogram and the Prewitt method has a higher Pixel value.