Santri Chintia Purba
Universitas Kristen Indonesia

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Measuring the Immeasurable: Calculating the Volume of Noah's Ark Using Integrals Can Reveal the Clarity and Sufficiency of the Bible. Ruth Ririn Vania Siregar; Santri Chintia Purba; Risma Uly Manalu
EduMatSains : Jurnal Pendidikan, Matematika dan Sains Vol 9 No 2 (2025): January
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Kristen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33541/edumatsains.v9i2.6558

Abstract

Mathematics is known as a science that always uses concepts and calculations. Under the pretext that mathematics is just calculations, of course, there is a possibility that there will be a response about mathematics that has nothing to do with the story in the Bible. In fact, based on previous research, it has been stated that one of the two qualities of the Bible is Clear and Sufficient. Considering these two properties, this study aims to prove that the Calculation of the Volume of Noah's Ark using Integral can Reveal the Clarity and Adequacy of the Bible. The research method used is a descriptive research method based on biblical statements that are calculated using integrals. The final result of this study states that the Calculation of the Volume of Noah's Ark using Integral can indeed reveal the Clarity and Sufficiency of the Bible as a form of immeasurable measurement. The meaning is: 1) The clarity of the Bible regarding the Volume of Noah's Ark using Integral can be interpreted and understood with the help of the Holy Spirit. 2) The sufficiency of the Bible regarding the Volume of Noah's Ark using Integral can be interpreted and used as a guideline for every believer's life.
The Utilization of Mathematics Digital Learning Media: GeoGebra, Desmos, and Symbolab in Junior High School Santri Chintia Purba; Verdinando Taek; Novi Suranti; Dimas Cristopel
Jurnal Pengabdian Sains dan Humaniora Vol. 5 No. 1 (2026): 2026 May Edition
Publisher : Fakultas Keguruan dan Ilmu Pendidikan-Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpsh.v5i1.10752

Abstract

The primary issue encountered by the partner in this community service program is the lack digital learning media in mathematics instruction. At the junior high school level, particularly in Grade VII, students are undergoing a transition from concrete to abstract mathematical thinking, which necessitates the use of technology to help them visualize algebraic forms through graphs and various geometric representations of mathematical concepts. This community service program aims to enhance the quality of mathematics learning through the use of digital-based instructional media. The implementation consisted of several stages, namely school needs assessment, training on the use of digital applications, classroom mentoring by facilitators, and evaluation through questionnaires and interactive quizzes. The results of the program indicate that 161 students responded positively to digital-based mathematics learning. This is evidenced by the following findings: 93,16% of students reported enjoying the learning activities; 96,89% expressed interest in using GeoGebra, Desmos, and Symbolab; 93,16% stated that they understood how to use these applications; 83.85% agreed that the material presented was aligned with their learning needs at school; and 85,71% noted that the applications were easy to access. Thus, nearly all students experienced lessons that were engaging, enjoyable, and easy to understand. Keywords: digital learning, mathematics, Geogebra, Desmos, Symbolab
Technological Knowledge Among Mathematics Pre-Service Teachers in Indonesia and the Philippines: A Comparative Study Candra Ditasona; Santri Chintia Purba; Stevi Natalia; Hotmaulina Sihotang; Merley Junsay; Rene T Estomo
Brillo Journal Vol 4 No 2 (2025): Innovative Practices in Mathematics Teaching and Learning
Publisher : S&Co Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56773/bj.v4i2.111

Abstract

This comparative study investigates the Technological Knowledge (TK) readiness of mathematics pre-service teachers in Indonesia and the Philippines. Using a structured online survey, data were collected from 136 participants in Indonesia and 93 in the Philippines. TK readiness was categorized into three levels: Ready, Moderately Ready, and Not Ready, with demographic factors such as age, sex, and school type examined as potential influences. The results indicate that Indonesian pre-service teachers demonstrate higher TK readiness compared to their Filipino counterparts. No statistically significant associations were found between TK readiness and demographic variables in either country. The findings suggest a need for targeted interventions in teacher education programs to enhance TK competencies and ensure effective technology integration in mathematics classrooms. Implications for curriculum design and future research are discussed.
FROM LEARNING ASSISTANT TO LEARNING DEPENDENCY: HOW ARTIFICIAL INTELLIGENCE USAGE, CRITICAL THINKING DISPOSITION, AND ACADEMIC PERFORMANCE AMONG MATHEMATICS EDUCATION STUDENTS Santri Chintia Purba
Brillo Journal Vol 5 No 2 (2026)
Publisher : S&Co Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56773/bj.v5i2.169

Abstract

The rapid adoption of artificial intelligence (AI) in higher education has transformed students' learning practices, particularly in completing academic assignments and projects. However, the extent to which AI use influences academic performance remains inconclusive. This study investigated the effects of overall AI usage, the percentage of AI use in course projects, and mathematical disposition on undergraduate students' Grade Point Average (GPA). A quantitative correlational design was employed involving 39 undergraduate students. Data were collected using a validated AI usage questionnaire, a mathematical disposition questionnaire, self-reported percentage of AI use in course projects, and students' GPA. Multiple linear regression analysis was conducted after verifying the assumptions of normality, multicollinearity, and independence of residuals. The regression model was statistically significant (F = 6.247, p = .002) and explained 34.9% of the variance in GPA (R² = .349). Among the predictors, only the percentage of AI use in course projects significantly predicted GPA (β = −0.614, p < .001), whereas overall AI usage (p = .651) and mathematical disposition (p = .695) were not significant predictors. These findings indicate that AI use itself is not associated with lower academic performance. Instead, students' reliance on AI in completing course projects appears to be associated with GPA. Excessive dependence on AI-generated outputs without critical evaluation, revision, verification using credible academic sources, and integration of students' own reasoning may reduce the quality of academic work. Therefore, AI should be utilized as a learning assistant that supports critical thinking, creativity, and problem-solving rather than replacing students' independent intellectual engagement. The findings highlight the importance of promoting AI literacy and responsible AI use in higher education.