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All Journal Al-Riwayah : Jurnal Kependidikan International Journal for Applied Information Management
Rahma, Felinda
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Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Clustering Students Based on Academic Performance and Social Factors: An Unsupervised Learning Approach to Identify Student Patterns Rahma, Felinda; Ulfah, Siti Zayyana
International Journal for Applied Information Management Vol. 5 No. 3 (2025): Regular Issue: September 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i3.109

Abstract

This study explores the application of K-Means clustering, an unsupervised learning method, to group students based on academic performance and social factors. The primary objective is to uncover hidden patterns among students by analyzing academic scores in mathematics, reading, and writing, as well as demographic attributes including gender, ethnicity, parental education level, and lunch type. Data preprocessing steps, such as normalization and one-hot encoding, were conducted to prepare the dataset for clustering. The optimal number of clusters was determined using the Elbow Method and Silhouette Score, with K=3 selected for its balance between cluster quality and interpretability. The clustering results revealed three distinct groups of students: low performers, average performers, and high performers. These clusters were visualized using PCA and t-SNE, which showed clear separation and internal consistency. Interpretation of the clusters suggests that social factors may influence academic outcomes, with students from disadvantaged backgrounds more likely to fall into the lower-performing group. The study highlights the importance of data-driven approaches in understanding student diversity and designing targeted interventions. Furthermore, this research underlines the potential of clustering techniques to inform educational strategies by identifying students' needs more precisely. However, limitations include reliance on academic and basic demographic variables, and sensitivity of the K-Means algorithm to outliers and the predefined number of clusters. Future research should incorporate additional factors such as emotional well-being and learning preferences to develop more comprehensive educational models. Overall, the study demonstrates that clustering can serve as a valuable tool for enhancing the effectiveness and equity of educational programs
Teori Paulo Freire tentang Pendidikan sebagai Pembebasan dan Penerapan Metakognitif dalam Drama Korea Study Group (2025) Rahma, Felinda; Syihabuddin; Kembara, Maulia Depriya
Al-Riwayah : Jurnal Kependidikan Vol. 17 No. 2 (2025): Al-Riwayah: Jurnal Kependidikan
Publisher : LPPM IAIN Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47945/al-riwayah.v17i2.1979

Abstract

This study explores how the ideas of education as liberation and metacognition are shown in the Korean drama Study Group (2025). The purpose of this research is to understand how the characters change the way they think and learn through reflection, teamwork, and self-awareness. The method used is qualitative content analysis by examining key scenes related to Paulo Freire’s theory and metacognitive strategies. The results show that the drama presents the struggles of students facing strong academic pressure in South Korea, but they grow through dialogical study groups. The characters learn to recognize their own strengths and weaknesses and develop appropriate learning strategies. In addition, Study Group serves as a critique of the Korean education system, which often emphasizes competition and individualism. This study concludes that Study Group illustrates how liberating and reflective education can help students become more independent, think critically, and support one another.
Co-Authors Kembara, Maulia Depriya Syihabuddin Ulfah, Siti Zayyana