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Jurnal Pendidikan Matematika (JUDIKA EDUCATION)
Published by Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi
ISSN : 2620732X     EISSN : 26146088     DOI : -
Core Subject : Education,
Education Mathematics
Jurnal Pendidikan Matematika (Judika Education) memuat artikel hasil penelitian baik penelitian menggunakan pendekatan kuantitatif, kualitatif, dan mixed method yang terkait dengan bidang ilmu pendidikan matematika.
Arjuna Subject : -
Articles 214 Documents
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Analisis Dinamika Pm₂.₅ dan Estimasi Berbasis Satelit Selama Kebakaran Hutan dan Lahan Agus, Andriyani; Aryono Adhi, Mochamad; Atmoko, Dwi; Khoi, Aulia Nisa’ul r
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/xwhtjp15

Abstract

This study analyzes the impact of forest and land fires on Aerosol Optical Depth (AOD) and fine particulate matter (PM₂.₅) concentrations using in-situ AERONET observations, PM₂.₅ measurements from the Sultan Thaha Meteorological Station in Jambi (2020–2023), and satellite-based AOD data from the Geostationary Environment Monitoring Spectrometer (GEMS). Linear regression and Pearson correlation analyses were applied to establish the empirical relationship between AOD and PM₂.₅, with validation against ground-based observations. The results indicate a strong correlation between AOD and PM₂.₅, with the highest values observed at 340 nm from AERONET (r = 0.7824; R² = 61.21%) and 354 nm from GEMS (r = 0.7802; R² = 60.88%). The derived regression equation was then used to convert satellite AOD into spatial estimates of PM₂.₅. The resulting distribution maps show widespread pollution, with PM₂.₅ concentrations exceeding 80 µg/m³ during the peak fire period in September 2023. This increase coincided with a rise in hotspot activity and low rainfall, while PM₂.₅ concentrations decreased following precipitation events. These findings demonstrate that satellite-derived AOD can be used to estimate PM₂.₅ concentrations and capture the temporal and spatial patterns of air pollution during fire episodes in Jambi Province.   Keywords: Aerosol Optical Depth (AOD); Forest Fire; Air Quality; PM₂.₅; Remote Sensing
Analisis Pengaruh Motivasi terhadap Hasil Belajar Matematika Tangdilintin, Lidia Aprilia; Suradi, Suradi; Danial, Danial
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/r7hq8226

Abstract

This study aims to analyze and synthesize various previous research results regarding the influence of learning motivation on mathematics learning outcomes. The method used is library research with a qualitative descriptive approach to relevant scientific sources in the last ten years. The results show that learning motivation has a positive and significant effect on mathematics learning outcomes at various levels of education. The higher the students' motivation, the better the learning outcomes achieved, which indicates that learning motivation plays an important role in promoting academic success. Although the level of influence of motivation varies between studies due to differences in context, education levels, and other internal and external factors, motivation remains one of the key factors that support the effectiveness of the learning process.   Keywords: Learning Outcomes, Motivation, Literature Study.
Studi Kasus Pembelajaran Mendalam (Deep Learning) pada Pemahaman Konsep Matematika Siswa Maman, Maman; Dewanto, Tito Adi; Koerniawan, Iwan; Dewi, Cristiana; Husna, Nina; Murni, Sri; Arfatin N, Arfatin N
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/y31z1r35

Abstract

This study aims to analyze the implementation of Deep Learning pedagogy in enhancing students’ conceptual understanding and learning engagement in eighth-grade mathematics classrooms. The study employed a qualitative case study design supported by descriptive quantitative data and was conducted in a public junior high school in North Jakarta. Data were collected through classroom observations, interviews, and a 17-item Likert-scale questionnaire administered to students. The findings indicate that students generally responded positively to the implementation of Deep Learning, particularly in terms of interaction and collaboration, which fostered a more dialogic and supportive learning environment. Although improvements in conceptual understanding and learning motivation were observed, deeper conceptual restructuring requires stronger instructional scaffolding and metacognitive reflection. In conclusion, Deep Learning pedagogy has strong potential to support student-centered mathematics learning by promoting active engagement and meaningful understanding, provided that it is implemented systematically and sustainably.   Keywords: Conceptual Understanding, Deep Learning, Learning Engagement, Mathematics Education, Students’ Perception
Perbandingan Pembelajaran Matematika Berbasis Deep Learning dan Pembelajaran Konvensional dalam Mengembangkan Penalaran Kritis Siswa Ismiarti, Ismiarti; Nilawati, Sastri; Rusyanih, Yanih; Widyati, Widyati; Rahmiwati, Puji
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/vha0h220

Abstract

This study aims to compare the effectiveness of Deep Learning-based mathematics instruction and conventional instruction in developing seventh-grade students’ critical reasoning skills. The method used was a qualitative comparative approach with a multiple case study design involving two classes and two mathematics teachers selected purposively, with data collected through observation, interviews, and documentation and analyzed using Miles and Huberman’s thematic analysis model. The findings indicate that Deep Learning-based instruction is more effective in promoting students’ reflective thinking, strategy evaluation, and concept generalization compared to conventional instruction, which tends to emphasize procedural mastery. In conclusion, Deep Learning-based instruction contributes more significantly to the development of students’ critical reasoning skills; however, its effectiveness is influenced by the quality of teacher facilitation and task design, therefore the integration of both approaches is recommended to achieve optimal learning outcomes. Keywords: Critical Reasoning; Deep Learning; Mathematics Learning; Conventional Learning.

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