Claim Missing Document
Check
Articles

Found 3 Documents
Search

Analysis of Independent Curriculum Management Methods (Merdeka) for Children with Special Needs Rasyad, Muhammad Ghaffar; Suklani, Suklani; Kambali, Kambali
Strata International Journal of Social Issues Vol. 2 No. 1 (2025): February
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sijosi.v2i1.283

Abstract

This study explores the management methods of the Independent Curriculum (Merdeka Curriculum) for children with special needs (CSN) in Indonesia, emphasizing its flexibility and individualized learning approach. The research aims to evaluate the curriculum's effectiveness in supporting CSN's holistic development while addressing key challenges such as limited resources, teacher training, and the need for adaptive instructional strategies. Using a qualitative, descriptive-exploratory design, data were collected from special schools and inclusive schools through in-depth interviews, participatory observations, and document analysis. Participants included teachers, school principals, parents, and supporting professionals. The findings reveal that implementing the Merdeka Curriculum enhances inclusivity and individual potential by providing tailored educational strategies, particularly through the development of Individualized Education Programs (IEPs). However, challenges such as resource constraints, insufficient training, and limited collaboration with stakeholders were identified as barriers to optimal implementation. The study highlights the importance of adaptive teaching methods, flexible assessment systems, and enhanced coordination among educators, caregivers, and professionals to maximize CSN’s development. This research contributes both theoretically and practically by offering insights into inclusive curriculum management and providing actionable recommendations for educators, policymakers, and stakeholders.
From Scrolling to Studying: Leveraging Digital Social Media Environment for Academic and Non-Academic Achievement at MTS Pembangunan Mandirancan Humaydiy, Agus Alif; Yasin, Robby Lafadza; Rasyad, Muhammad Ghaffar; Cahyani, Dewi; Ali, Moh
Strata International Journal of Social Issues Vol. 2 No. 2 (2025): August
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/sijosi.v2i2.399

Abstract

This study investigates the influence of the digital social media environment on academic and non-academic achievement among junior high school students at MTs Pembangunan Mandirancan, Kuningan Regency, Indonesia. Against the backdrop of increasing digital engagement among adolescents, this research addresses a gap in the literature by focusing on students at the MTs level—a group often overlooked in previous studies. Employing a quantitative associative explanatory approach, the study involved 100 students selected through stratified random sampling from a population of 255 active social media users. Data were collected using validated Likert-scale questionnaires and official academic documentation. Descriptive and inferential statistical analyses, including Pearson correlation and multiple linear regression, were conducted using SPSS. The results reveal a moderate and statistically significant positive correlation between the digital social media environment and both academic achievement (r = 0.512, p < 0.01) and non-academic achievement (r = 0.478, p < 0.01). These findings suggest that, when used constructively, social media can support student learning, collaboration, and engagement in extracurricular activities. It is recommended that educators, parents, and policymakers promote digital literacy and responsible media use, integrating social media into learning strategies and school programs to foster critical thinking, creativity, and social competence among students.
The Concept of Deep Learning and Its Implementation in Character-Based Learning Rasyad, Muhammad Ghaffar; Suherman, Aris; Duryat, Masduki; Ali, Moh
Multidiscience : Journal of Multidisciplinary Science Vol. 2 No. 2 (2025): June
Publisher : CV. Strata Persada Academia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59631/multidiscience.v2i2.381

Abstract

This study aims to explore the concept and implementation of Deep Learning (DL) in the context of character-based education. Amid the growing urgency of character education in shaping a generation with integrity, advancements in information technology present new opportunities to design more adaptive and contextual learning approaches. DL, as a branch of artificial intelligence, possesses the capability to analyze large-scale digital data and automatically identify behavioral patterns and expressions of character values. This research employs a literature review using a descriptive qualitative approach, analyzing scientific literature from journals and academic publications published between 2015 and 2025. The findings indicate that DL can be utilized to detect learners’ behaviors, emotional expressions, and moral responses across digital media in a contextual manner, thereby supporting formative assessments and data-driven interventions in character education. However, challenges such as algorithm interpretability, data bias, and ethical concerns remain significant. Therefore, the study recommends the application of Explainable AI (XAI) frameworks and multidisciplinary collaboration to ensure that DL is implemented in ethically responsible and pedagogically meaningful ways. These findings offer both theoretical and practical contributions to the development of character learning models aligned with the demands of the digital age.