Claim Missing Document
Check
Articles

Found 6 Documents
Search

Kepemimpinan Kolaboratif dan Inovasi Kebijakan Sekolah dalam Meningkatkan Daya Saing Siswa Sekolah Menengah Ul Haq, Fajar Riza; Ramdan, Asep Muhamad; Rachmawati, Ike
JURNAL MANAJEMEN PENDIDIKAN DAN ILMU SOSIAL Vol. 6 No. 6 (2025): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Oktober-November 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v6i6.6606

Abstract

Kepemimpinan kepala sekolah dan inovasi kebijakan pendidikan masih menjadi tantangan dalam peningkatan daya saing siswa di era disrupsi teknologi. Penelitian ini bertujuan untuk menganalisis pengaruh kepemimpinan kolaboratif (KK) dan inovasi kebijakan sekolah (IKS) terhadap daya saing siswa (DSS). Populasi penelitian ini terdiri atas 89 Sekolah Menengah Atas (SMA) dan 166 Sekolah Menengah Kejuruan (SMK), sehingga total populasi berjumlah 255 sekolah. Sampel ditentukan melalui random sampling dengan jumlah akhir sebanyak 153 sekolah. Responden penelitian adalah kepala sekolah atau wakil kepala sekolah sebagai representasi dari unit sekolah. Metode penelitian menggunakan pendekatan kuantitatif berbasis survei dengan analisis data Structural Equation Modeling (SEM) menggunakan Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa KK dan IKS berpengaruh signifikan terhadap DSS. Temuan ini menegaskan bahwa kepemimpinan visioner dan inovasi kebijakan adaptif mampu meningkatkan daya saing siswa secara simultan. Implikasi praktis dari penelitian ini adalah perlunya kepala sekolah mengembangkan gaya kepemimpinan kolaboratif yang melibatkan guru, siswa, dan stakeholder eksternal, serta menerapkan kebijakan inovatif seperti integrasi pembelajaran berbasis teknologi digital, program kemitraan industri untuk SMK, dan sistem penilaian berbasis kompetensi abad ke-21. Novelty penelitian ini terletak pada penekanan hubungan simultan KK dan IKS sebagai faktor determinan bagi daya saing siswa. Keterbatasan penelitian ini terletak pada lingkup sampel yang terbatas, sehingga hasilnya belum dapat digeneralisasi secara luas.
Kepemimpinan Kolaboratif dan Inovasi Kebijakan Sekolah dalam Meningkatkan Daya Saing Siswa Sekolah Menengah Fajar Riza Ul Haq; Asep Muhamad Ramdan; Ike Rachmawati
Jurnal Manajemen Pendidikan dan Ilmu Sosial Vol. 6 No. 6 (2025): Jurnal Manajemen Pendidikan dan Ilmu Sosial (Oktober-November 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jmpis.v6i6.6606

Abstract

Kepemimpinan kepala sekolah dan inovasi kebijakan pendidikan masih menjadi tantangan dalam peningkatan daya saing siswa di era disrupsi teknologi. Penelitian ini bertujuan untuk menganalisis pengaruh kepemimpinan kolaboratif (KK) dan inovasi kebijakan sekolah (IKS) terhadap daya saing siswa (DSS). Populasi penelitian ini terdiri atas 89 Sekolah Menengah Atas (SMA) dan 166 Sekolah Menengah Kejuruan (SMK), sehingga total populasi berjumlah 255 sekolah. Sampel ditentukan melalui random sampling dengan jumlah akhir sebanyak 153 sekolah. Responden penelitian adalah kepala sekolah atau wakil kepala sekolah sebagai representasi dari unit sekolah. Metode penelitian menggunakan pendekatan kuantitatif berbasis survei dengan analisis data Structural Equation Modeling (SEM) menggunakan Partial Least Square (PLS). Hasil penelitian menunjukkan bahwa KK dan IKS berpengaruh signifikan terhadap DSS. Temuan ini menegaskan bahwa kepemimpinan visioner dan inovasi kebijakan adaptif mampu meningkatkan daya saing siswa secara simultan. Implikasi praktis dari penelitian ini adalah perlunya kepala sekolah mengembangkan gaya kepemimpinan kolaboratif yang melibatkan guru, siswa, dan stakeholder eksternal, serta menerapkan kebijakan inovatif seperti integrasi pembelajaran berbasis teknologi digital, program kemitraan industri untuk SMK, dan sistem penilaian berbasis kompetensi abad ke-21. Novelty penelitian ini terletak pada penekanan hubungan simultan KK dan IKS sebagai faktor determinan bagi daya saing siswa. Keterbatasan penelitian ini terletak pada lingkup sampel yang terbatas, sehingga hasilnya belum dapat digeneralisasi secara luas.
Religious Organizations in the Practice of Total People’s Defense: Muhammadiyah’s Strategy in Responding to the COVID-19 Pandemic Ul Haq, Fajar Riza
Jurnal Pertahanan: Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Vol 11, No 3 (2025)
Publisher : The Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jp.v11i3.20117

Abstract

The COVID-19 pandemic has transformed Indonesia’s national defense paradigm from a militaristic orientation to a model of total social defense based on community participation. This study aims to analyze how Muhammadiyah, as a religious organization in Indonesia, implemented the practice of Total People’s Defense (Sistem Pertahanan Semesta/SISHANTA) through civil society–based strategies during the pandemic crisis. Employing a qualitative case study approach, this research explores Muhammadiyah’s strategies and resource mobilization patterns through the Muhammadiyah COVID-19 Command Center (MCCC). Data were collected through document analysis, in-depth interviews, and field observations in three key regions: Yogyakarta, Jakarta, and West Sumatra Findings show that Muhammadiyah operationalized three key pillars of defense: health (defense of life), education (defense of knowledge), and economy (defense of welfare). These dimensions illustrate a model of civil defense that integrates faith, science, and humanitarian action to strengthen national resilience. Muhammadiyah’s experience illustrates that total defense can be realized through moral conviction, social solidarity, and institutional collaboration. Faith-based organizations serve not only as humanitarian agents but also as partners in safeguarding national stability and human security. The study suggests the need for stronger integration of civil and faith-based organizations into Indonesia’s national defense policy and the inclusion of civic and humanitarian values in educational curricula to cultivate resilience. This study focuses on a single case Muhammadiyah’s response in three regions during the 2020–2022 pandemic thus limiting generalization. Future research should adopt comparative approaches to explore broader models of civil-based defense in Indonesia.
Implementation of Deep Learning Strategies for Developing Empathy and Collaboration Students Retno Megawati; Harun Joko Prayitano; Fajar Riza Ul Haq; Oman Suryaman
Journal of Deep Learning Vol. 2, No. 1, June 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i1.12031

Abstract

The aims of this study is to explore how the implementation of deep learning strategies to foster empathy and collaboration among second-grade elementary school students. Anchored in Vygotsky's Sociocultural Theory and the Social Emotional Learning (SEL) framework, the research focuses on how project-based and inquiry-based learning approaches contribute to the development of students’ social-emotional skills. The primary objective is to examine how these pedagogical strategies create meaningful learning experiences that nurture students’ ability to understand others’ perspectives and work cooperatively with peers. The study also explores the teacher’s role in facilitating deep learning through guided interaction within the Zone of Proximal Development (ZPD), where support is tailored to students’ developmental readiness. Data were collected through classroom observations, semi-structured interviews, and analysis of student-created learning artifacts. Thematic analysis revealed that deep learning strategies provide authentic contexts for social interaction, enabling students to engage in perspective-taking and constructive collaboration. As a result, students exhibited notable growth in their ability to empathize and collaborate, indicating that well-structured, emotionally responsive instruction can enhance both cognitive and interpersonal development in early primary education.
Integrating Technical Skills, Soft Skills, and Digital Technology in Culinary Vocational Education: A Deep Learning Model for Industry 5.0 Herlina Tri Wulandari; Heri Susanto; Harun Joko Prayitno; Indri; Bayu Wardhana; Fajar Riza Ul Haq
Journal of Deep Learning Vol. 2, No. 1, June 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i1.12927

Abstract

The emergence of Industry 5.0 requires vocational education to integrate technical competencies with human-centered skills such as creativity, collaboration, and adaptability, supported by digital technology. However, culinary vocational learning remains fragmented, with these components often developed separately. This study aims to develop an integrative conceptual model to address this gap. This research adopts a qualitative conceptual approach supported by a systematic literature-based synthesis. Data were collected from Scopus, Google Scholar, and SINTA using structured keywords. The selected studies were analyzed through content analysis and thematic synthesis to identify key components and relationships for model development. The study proposes the Integrated Culinary Deep Learning Model (ICDLM), which consists of four core dimensions: culinary technical skills, soft skills (creativity and collaboration), digital technology integration, and project-based learning. These components are structured as an interconnected system that enables holistic and meaningful learning. The findings indicate that integrative approaches are more effective than fragmented methods in developing higher-order competencies such as critical thinking, adaptability, and innovation. Theoretically, this study contributes an integrative framework for vocational education. Practically, the ICDLM model provides guidance for designing adaptive and industry-relevant culinary learning. Future research is recommended to empirically validate the model.
Contextual Media-Based Deep Learning in Elementary Education: A Qualitative Study of Meaningful and Joyful Learning through an Ecoenzyme Project Nela Rosita; Harun Joko Prayitno; Indri Indri; Khoirul Anwar; Fajar Riza Ul Haq; Suyanto Suyanto; Azmi Khusnani
Journal of Deep Learning Vol. 2, No. 2, December 2026
Publisher : Universitas Muhammadiyah Surakarta in Collaboration with Kemdikdasmen RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jdl.v2i2.15578

Abstract

The implementation of Deep Learning in elementary education requires learning experiences that are meaningful, engaging, and relevant to students' daily lives. However, research on contextual media-based Deep Learning in elementary schools remains limited. This study aimed to explore the implementation of Deep Learning through contextual media using an ecoenzyme project in elementary education. A qualitative descriptive approach was employed at Elementary School Muhammadiyah Program Khusus Pracimantoro. Data were collected through observations, semi-structured interviews, and documentation, and analyzed using the interactive model of Miles et al. with methodological triangulation to ensure data credibility. The findings reveal that contextual media promote meaningful learning by connecting instructional content with authentic experiences, thereby enhancing students' conceptual understanding, critical thinking, and reflective learning. In addition, the ecoenzyme project fostered joyful learning by improving students' motivation, collaboration, communication, and environmental awareness. The study also demonstrates that effective Deep Learning can be implemented through simple contextual media without relying on sophisticated digital technologies. These findings contribute to the development of student-centered learning strategies and provide practical implications for implementing Deep Learning in elementary education.