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All Journal Indonesian Journal of Artificial Intelligence and Data Mining International Journal of Pedagogy and Learning Community (IJPLC) Global Perspectives in Education Journal Persepsi: Jurnal Riset Mahasiswa Psikologi
Fara Ulfa
Universitas Islam Negeri Sultan Syarif Kasim Riau
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Perceived Social Support dan Academic Buoyancy: Studi Korelasi Pada Mahasiswa Rantau Tarania Qudri; Fara Ulfa; Reni Susanti; Liliza Agustin
Global Perspectives in Education Journal Vol. 1 No. 2 (2025): July
Publisher : CV Najmi Edu Creative

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64008/gpej.v1i2.17

Abstract

Students who live away from home are more vulnerable to high levels of stress, which makes it important for them to have good academic buoyancy in order to face academic challenges and succeed in their studies. Perceived social support refers to a person’s perception of social support, which is believed to influence students’ resilience in difficult situations. This study aims to examine whether there is a relationship between perceived social support and academic buoyancy among students who live away from home. Academic buoyancy in these students may increase along with a higher level of perceived social support. This research is a quantitative and correlational study involving 260 students selected through purposive sampling. The instruments used were the Perceived Social Support Scale and the Academic Buoyancy Scale. Data were analyzed using Kendall’s Tau correlation test with the help of the Statistical Package for Social Science (SPSS) version 25 for Windows. The results showed a significant relationship between perceived social support and academic buoyancy. This means that the higher the level of perceived social support, the higher the academic buoyancy of the student. These findings show the importance of consistently receiving support from parents, friends, and significant others to help reduce the burden of academic demands.
The Role of Mental Health Literacy Education and Self-Stigma in Shaping Help-Seeking Intentions among Male Santri Abidah El-Mukhayyarah; Fara Ulfa; Yuli Widiningsih; Indah Puji Ratnani
International Journal of Pedagogy and Learning Community (IJPLC) Vol. 2 No. 2 (2025): International Journal of Pedagogy and Learning Community (IJPLC)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijplc.v2i2.20

Abstract

There are many factors that can reduce the quality of learning in Islamic boarding schools (pondok pesantren), one of which is mental health issues. Cases such as bullying, juvenile delinquency, and depression among students are examples of problems that need attention to ensure that students have the knowledge to help themselves or others when needed. This study aims to explore the role of mental health literacy and self-stigma in shaping help-seeking intentions among male students at Pondok Pesantren X in Pekanbaru City. Low mental health literacy and the internalization of negative perceptions can lead to poor ability to recognize mental health problems, the development of inappropriate beliefs and attitudes toward mental health issues, and ineffective help-seeking behaviors. Through purposive sampling techniques, 84 male students were selected as research subjects. Data collection was conducted using the TPB Questionnaire, the Mental Health Literacy Scale (MHLS), and the Self-Stigma of Seeking Help (SSOSH). The results of multiple regression analysis showed F = 19.880 (p = 0.00) with an R Square value of 0.329. This indicates that mental health literacy and self-stigma simultaneously contribute to help-seeking intentions with a contribution rate of 32.9%. It can be concluded that male students with good mental health literacy and low self-stigma are more likely to have strong intentions to seek help.
Enhancing Student Performance Classification Through Dimensionality Reduction and Feature Selection in Machine Learning Mustakim Mustakim; Windy Junita Sari; Fara Ulfa
Indonesian Journal of Artificial Intelligence and Data Mining Vol. 8 No. 3 (2025): November 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

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Abstract

Education plays an important role in shaping the intellectual and character of the nation's next generation. However, poor student academic performance is a major challenge, especially regarding student retention and dropout risk. This study aims to evaluate the performance of machine learning algorithms, namely K-Nearest Neighbor (K-NN), Light Gradient Boosting Machine (LightGBM), and Extreme Gradient Boosting (XGB), and analyze the effect of dimensionality reduction using Principal Component Analysis (PCA) and feature selection with Recursive Feature Elimination (RFE) on student performance prediction accuracy. The research dataset consists of 395 student samples with demographic, social, and academic attributes. The results show that XGB has the best performance with 98.32% accuracy and can predict all classes with perfect 100% accuracy. LightGBM and K-NN achieved 94.87% and 93.88% accuracy, respectively. The best attributes affecting student performance were found in the “Highly Prioritized” category, including study time, family support, family, and health. Although PCA slightly degraded the model performance, feature selection with RFE significantly improved accuracy. This study concludes that proper algorithm selection and focus on relevant attributes can improve prediction accuracy and efficiency, making an important contribution to the development of more effective education prediction systems.
PROBLEMATIC INTERNET USE DAN PROKRASTINASI AKADEMIK: TANTANGAN MAHASISWA DI ERA DIGITAL Syaidatu Nugraini Gusnita Halimahtusaddiah; Fara Ulfa; Reni Susanti; Cipto Hadi
Persepsi: Jurnal Riset Mahasiswa Psikologi Vol. 4 No. 2 (2025): Persepsi: Jurnal Riset Mahasiswa Psikologi
Publisher : Fakultas Psikologi UIN Suska Riau

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Abstract

Academic procrastination is one of the common phenomena experienced by undergraduate students. It refers to the habit of delaying academic-related tasks and avoiding actions connected to academic responsibilities. One factor influencing academic procrastination is problematic internet use. This study aims to examine the relationship between problematic internet use and academic procrastination among university students. The sample size in this research consisted of 348 students from Pekanbaru City. Data were collected using the Academic Procrastination Scale (APS) and the Generalized Problematic Internet Use Scale 2 (GPIUS-2). The collected data were analyzed using the Pearson product-moment correlation technique. The results indicate a significant relationship between problematic internet use and academic procrastination, with a correlation coefficient of 0.549 and a significance level of 0.000 (p < 0.000). This means that the higher the level of problematic internet use, the greater the level of academic procrastination, and conversely, the lower the level of problematic internet use, the lower the level of academic procrastination among students.
Co-Authors Abidah El-Mukhayyarah Cipto Hadi Indah Puji Ratnani Liliza Agustin Mustakim Mustakim Reni Susanti Reni Susanti Syaidatu Nugraini Gusnita Halimahtusaddiah Tarania Qudri Windy Junita Sari Yuli Widiningsih