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All Journal JIPM (Jurnal Ilmiah Pendidikan Matematika) AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika HISTOGRAM: Jurnal Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Gammath : Jurnal Ilmiah Program Studi Pendidikan Matematika Journal of Electronics, Electromedical Engineering, and Medical Informatics JURNAL PENDIDIKAN MIPA Unnes Journal of Mathematics Education International Journal on Education Insight Journal of Fundamental Mathematics and Applications (JFMA) Bulletin of Applied Mathematics and Mathematics Education Jurnal Pengabdian Masyarakat Bangsa Jurnal Pendidikan Matematika Universitas Lampung
rusmining, rusmining
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Developing a cultural-based realistic mathematics education learning video on congruence and similarity Mahmudah, Faisa Nirbita; Rusmining, Rusmining
International Journal on Education Insight Vol. 3 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijei.v3i2.6175

Abstract

The Covid-19 pandemic has made learning activities carried out online so that many students have difficulty understanding the material, so interesting learning media are needed with flexible access. This study aims to develop a learning video with a culture-based RME approach on congruence and similarity materials and to determine the validity and practicality of the product. This type of research is development research with the ADDIE research model. The subjects of this study were students of class IX A MTs Negeri 9 Bantul. The data collection methods are interviews and questionnaires. The data analysis step is carried out by calculating and analyzing the results of the validity and practicality tests. The results of the product validity test obtained very valid criteria with an average value of 4.75 by material experts and 4.82 by media experts. At the same time, the practicality test got a percentage of 91.82% with very practical criteria in small class trials and a percentage of 82.67% with very practical criteria in large class trials. Based on these results, the learning video can be declared very valid and very practical to use in learning.
Impact of Different Kernels on Breast Cancer Severity Prediction Using Support Vector Machine Mahmudah, Kunti; Surono, Sugiyarto; Rusmining, Rusmining; Indriani, Fatma
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 1 (2026): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i1.960

Abstract

Breast cancer poses a critical global health challenge and continues to be one of the most prevalent causes of cancer-related deaths among women worldwide. Accurate and early classification of cancer severity is essential for improving treatment outcomes and guiding clinical decision-making, since timely intervention can significantly reduce mortality rates and enhance patient survival. This study evaluates the performance of Support Vector Machine (SVM) models using different kernel functions of Linear, Polynomial, Radial Basis Function (RBF), and Sigmoid for breast cancer severity prediction. The impact of feature selection was also examined, using the Random Forest algorithm to select the top features based on Mean Decrease Accuracy (MDA), which serves to reduce redundancy, improve interpretability, and enhance model efficiency. Experimental results show that the RBF kernel consistently outperformed other kernels, especially in terms of sensitivity, a critical metric in medical diagnostics that emphasizes the ability of the model to identify positive cases correctly. Without feature selection, the RBF kernel achieved an accuracy of 0.9744, a sensitivity of 0.9772, a precision of 0.9722, and an AUC of 0.9968, indicating strong performance across all evaluation metrics. After applying feature selection, the RBF kernel further improved the accuracy to 0.9754, the sensitivity to 0.9770, the precision to 0.9742, and the AUC to 0.9975, which demonstrated enhanced generalization and reduced overfitting, highlighting the benefits of targeted feature reduction. While the Polynomial kernel yielded the highest precision (up to 0.9799), its lower sensitivity (as low as 0.9237) indicates a greater risk of false negatives, which is particularly concerning in cancer detection. These findings underscore the importance of optimizing both kernel function and feature selection. The RBF kernel, when combined with targeted feature selection, offers the most balanced and sensitive model, making it highly suitable for breast cancer classification tasks where diagnostic accuracy is vital
Enhancing Scientific Literacy and Gotong Royong through Culturally Responsive Problem-Based Learning with Gamification: A Classroom Action Research on Rotational Dynamics Upik Laila Hanum; Arina Zaida Ilma; Rusmining, Rusmining; Sri Sundari
JURNAL PENDIDIKAN MIPA Vol. 16 No. 1 (2026): JURNAL PENDIDIKAN MIPA
Publisher : Pusat Publikasi Ilmiah, STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpm.v16i1.4052

Abstract

This classroom action research investigates the effectiveness of an integrated learning model combining Problem-Based Learning (PBL), Culturally Responsive Teaching (CRT), and educational gamification to enhance scientific literacy and gotong royong skills among 31 Grade XI students at SMA Negeri 1 Banguntapan, Yogyakarta. Using the Kemmis & McTaggart framework across two cycles on rotational dynamics, the intervention incorporated local Indonesian cultural elements (spinning top/gasing) and global contexts (ballet dance) into student worksheets and innovative games (“Who’s Fast, They Get It” in Cycle 1 and “Stop and Go Challenge” in Cycle 2) to accommodate kinesthetic learning styles and foster collaborative interdependence. Results showed moderate to significant improvements: scientific literacy scores rose from 55.16 (pre-cycle) to 89.78 (Cycle 2), with N-gain values of 0.35 (Cycle 1) and 0.44 (Cycle 2), while gotong royong skills increased from 75.32% to 79.57%, with the most notable gains in interpreting data and evidence scientifically, solidarity, and mutual encouragement. This study contributes a novel culturally grounded integrative model aligned with Indonesia’s Merdeka Curriculum and Pancasila Student Profile, providing empirical evidence that contextual gamified PBL effectively develops both cognitive and affective competencies in physics education.
PENGEMBANGAN E-LKPD DENGAN LIVEWORKSHEETS BERMUATAN LITERASI MATEMATIS PADA MATERI SISTEM PERSAMAAN LINEAR DUA VARIABEL Susilawati, Erna; Rusmining, Rusmining
AdMathEduSt: Jurnal Ilmiah Mahasiswa Pendidikan Matematika Vol. 13 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini dilatarbelakangi oleh perlunya bahan ajar berbasis teknologi yang dapat mendukung siswa dalam mempelajari materi Sistem Persamaan Linear Dua Variabel (SPLDV) sekaligus melatih kemampuan literasi matematis. Namun, penelitian yang mengembangkan E-LKPD berbasis Liveworksheets yang secara khusus mengintegrasikan aktivitas literasi matematis pada materi SPLDV masih terbatas. Penelitian ini memiliki tujuan untuk mengembangkan E-LKPD berbantuan Liveworksheets yang mengintegrasikan komponen literasi matematis, serta menguji tingkat validitas dan kepraktisannya. Metode yang diterapkan dalam penelitian ini yaitu Research and Development (R&D) dengan tahapan pengembangan yang berpedoman pada model ADDIE. Penelitian ini melibatkan 20 siswa kelas VIII dari salah satu SMP di Bantul sebagai subjek penelitian. Hasil uji validitas E-LKPD pada aspek materi dan media berturut-turut sebesar 74 dan 88. Kedua skor tersebut berada pada kategori baik, yang menunjukkan bahwa E-LKPD yang dikembangkan valid. Penilaian terhadap kepraktisan memperoleh skor 84,05 yang termasuk kategori sangat baik sehingga produk dapat dinyatakan sangat praktis. Berdasarkan temuan tersebut, E-LKPD yang dikembangkan dapat disimpulkan valid dan sangat praktis, serta layak digunakan dalam proses pembelajaran.
Co-Authors Agastya, Angga Dewanta Althafinisa, Afifah Arina Zaida Ilma Asidik, Windi Aprilia Bhagaskara, Kaisar Pradipta Dewi, Bela Saputri Dian Ariesta Yuwaningsih Fatma Indriani Mahmudah, Faisa Nirbita Mahmudah, Kunti Muhammad Alfiansyah Purwanto, Arie Rachmawati, Lina Rumani, Risza Presty Saputri, Nuriza Adheatma Sugiyarto Surono, Sugiyarto Sundari, Sri Susilawati, Erna Upik Laila Hanum