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All Journal TOFEDU: The Future of Education Journal Multidiscience: Journal of Multidisciplinary Science Islamic Education Journal (ISEDU)
aris suherman, aris
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Computer Science & IT Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

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Menumbuh Kembangkan Green Behavior Siswa Berbasis Adiwiyata di SMP Negeri 2 Kabupaten Kuningan: Developing Students' Green Behavior Based on Adiwiyata at SMP Negeri 2 Kuningan Regency Suherman, Aris; Suteja; Irvan Rosviana, Mohammad
ISEDU : Islamic Education Journal Vol. 1 No. 1 (2023): JUNI
Publisher : CV. Kalimasada Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59966/isedu.v1i1.534

Abstract

Environmental indifference remains a significant issue in today’s global era, requiring attention and solutions, such as the Adiwiyata program. One strategy to address this is fostering green behavior, starting with small, eco-friendly actions. This study aims to explore: 1) The green behavior of students at SMP Negeri 2 Kuningan, 2) The implementation of green behavior based on the Adiwiyata program, and 3) How to nurture and develop green behavior in students. Using a qualitative method with a descriptive-analytical approach, data was collected through observation, interviews, and documentation. The main informants were teachers, students, and the school principal. The findings show that: 1) Green behavior is generally formed but not yet fully integrated with the expected values. 2) Students have implemented green behavior, though some challenges remain. 3) The school fosters green behavior through curriculum development, participatory activities, and supporting infrastructure. Supportive factors include intellectual motivation, stakeholder involvement, Adiwiyata team consistency, and adequate facilities, while obstacles include budget constraints, insufficient habituation control, and a lack of connection between students, parents, and the community.
Teacher Policy Analysis: Challenging the P3K Policy and the Teacher Leader Program Becoming School Principals Kemal, Selva Noufalia; Duryat, Masduki; Suherman, Aris
The Future of Education Journal Vol 4 No 6 (2025)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v4i6.594

Abstract

The issues of teacher shortages and employment status disparities have become central concerns in Indonesia’s education system. The government responded with two major policies: the appointment of non-permanent teachers through the Government Employees with Work Agreements (PPPK) scheme and the Transformational Teacher program, which offers a direct pathway to school leadership positions. This article critically analyzes the implementation of both policies in terms of fairness, professionalism, and their impact on the educational ecosystem. The findings reveal that while the PPPK policy provides legal status and improved welfare for non-permanent teachers, it also causes a shortage of teachers in private schools due to large-scale transfers to public schools. Meanwhile, appointing Transformational Teachers as school principals introduces new leadership opportunities but also sparks social tension due to career acceleration that bypasses traditional hierarchical processes. This study recommends a comprehensive evaluation of both policies to ensure they are fair, accountable, and aligned with the actual needs in the field.
Analysis of Vocational Education Policy in the Context of Artificial Intelligence Disruption and Its Implications for the Merdeka Curriculum Muis, Rizal Rahmawan; Nadhiroh, Nadhiroh; Yasin, Roby Lafadza; Duryat, Masduki; Suherman, Aris
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.v2i2.380

Abstract

This study aims to analyze vocational education policy in Indonesia in the context of Artificial Intelligence (AI) disruption and to examine its implications for the implementation of the Merdeka Curriculum. Employing a descriptive qualitative approach and content analysis of policy documents, scholarly publications, and research reports, this study explores the dynamics of vocational education policy in response to the digital transformation driven by AI. The findings reveal that Indonesia's vocational education policy is still in its early stages of integrating AI technologies into curricula and instructional practices. Although the Merdeka Curriculum offers flexibility, it has not yet systematically incorporated AI-related competencies, leaving graduates inadequately prepared for the increasingly digitized labor market. Compared to countries such as Germany and South Korea, Indonesia lags behind in establishing AI-based vocational training through strong industry-education collaboration. To address these challenges, three strategic actions are recommended: revising the curriculum to include AI literacy, strengthening industry partnerships through dual training programs and teacher certification, and investing in equitable digital infrastructure. This study offers both conceptual and practical contributions to the development of adaptive, responsive, and future-oriented vocational education policies in the era of technological disruption.
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.
Co-Authors Irvan Rosviana, Mohammad Kemal, Selva Noufalia Masduki Moh Ali, Moh Muis, Rizal Rahmawan Nadhiroh, Nadhiroh Rasyad, Muhammad Ghaffar Suteja Yasin, Roby Lafadza