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M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika
Published by Universitas Wiralodra
ISSN : 25025872     EISSN : 26223627     DOI : -
Core Subject : Education,
Education Mathematics
Mathline is published by Mathematics Education Department of Wiralodra University. Mathline publishes the research issues on mathematics, mathematics education, and could be experiment, research and development, or classroom action research. This Journal are bi-annual publication, on February and August.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 472 Documents
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A Study Of Differences In Mathematical Reasoning Among Junior High Students With Field Independent And Field Dependent Cognitive Styles Marjud, Fujiama; Hasanah, Aan; Lukman, Lukman; Harahap, Putri Ardhanita
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 4 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i4.1049

Abstract

Mathematical reasoning plays a vital role in helping students understand concepts, identify patterns, and solve problems effectively. This study aimed to investigate whether students with Field-independent (FI) and Field-dependent (FD) cognitive styles exhibit significant differences in their mathematical reasoning abilities. To examine the variation in students’ reasoning skills according to their cognitive styles, a quantitative approach using a comparative method was employed. After a preliminary test of homogeneity of variances using Levene's Test, which produced a significance value of 0.820 (> 0.05), Data were analyzed using an Independent Samples t-test. The results indicated that the assumption of equal variances was met, thereby validating the use of parametric analysis. The t-test revealed a statistically significant difference between the two cognitive style groups, with a t-value of 3.232, 40 degrees of freedom, and a significance level of 0.002 (< 0.05). In terms of mathematical reasoning, students identified as FI performed better than those classified as FD. This finding suggests that while FD learners tend to rely more on external cues and structured guidance when solving problems, FI learners are generally more analytical and able to process information independently. The findings also suggest that pupils' capacity for mathematical reasoning is significantly influenced by their cognitive style. These results emphasise the necessity of varied teaching strategies that take into account both learning styles from a pedagogical standpoint. Teachers can build more inclusive, balanced, and productive mathematics learning environments by incorporating exploratory, Problem-based tasks are more suitable for FI learners, whereas structured instructional approaches better support FD learners.
Insurance Premium Determination Model Using The Cobb-Douglas Regression Method On Shallot Production Saudi, Jeremi Heryandi; Kalfin, Kalfin; Diantini, Ni Luh Sri
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 10 No. 4 (2025): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v10i4.1051

Abstract

The production risk of shallots is very high due to their vulnerability to pest attacks, diseases, and climate change, which creates uncertainty that may cause significant losses for farmers. Insurance protection has therefore become a necessity as an effort to mitigate financial losses and maintain farmers’ stability even in the event of crop failure. Accordingly, this study aims to analyze the production factors of shallots in determining agricultural insurance premiums. The study employs the Cobb-Douglas production function to analyze production factors and the pure premium model to calculate shallot insurance premiums. Data were collected through questionnaires distributed to shallot farmers in Tasikmalaya Regency, with 50 respondents included in the analysis. Based on the results, the determination of shallot insurance premiums using the expectation principle produces higher premium values compared to the standard deviation principle. Premiums under the expectation principle are more sensitive to risk variation, whereas the standard deviation principle tends to yield more conservative and relatively stable premiums. The analysis applies the Cobb-Douglas regression model, with shallot production (Y) as the dependent variable, and land area (X1), seeds (X2), fertilizer (X3), pesticide use (X4), and labor (X5) as independent variables, resulting in a coefficient of determination (R²) of 96.2%. The findings imply that the expectation principle is more appropriate for calculating insurance premiums under conditions of high and fluctuating production risk, while the standard deviation principle is more suitable for relatively stable risk conditions. These results can serve as a basis for formulating agricultural insurance policies that are adaptive to risk variation, while simultaneously promoting more effective financial protection for shallot farmers.

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