Article Per Year (5 Year)
p-Index From 2021 - 2026
5.014
P-Index
This Author published in this journals
All Journal International Journal of Evaluation and Research in Education (IJERE) Cakrawala Pendidikan Jurnal Manajemen Pendidikan: Jurnal Ilmiah Administrasi, Manajemen dan Kepemimpinan Pendidikan AKSIOMA: Jurnal Program Studi Pendidikan Matematika Al Ishlah Jurnal Pendidikan Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Jurnal Taman Vokasi SOSIOHUMANIORA: Jurnal Ilmiah Ilmu Sosial dan Humaniora JURNAL EDUCATION AND DEVELOPMENT COMPTON: Jurnal Ilmiah Pendidikan Fisika Media Manajemen Pendidikan International Journal of Engineering, Science and Information Technology Edu Cendikia: Jurnal Ilmiah Kependidikan Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) Tamansiswa International Journal in Education and Science (TIJES) PIJAR: Jurnal Pendidikan dan Pengajaran IndoMath: Indonesia Mathematics Education IMPACTS: International Journal of Empowerment and Community Services Jurnal Pendidikan Progresif
Supriadi, Didi
Universitas Sarjanawiyata Tamansiswa
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
Model Refleksi Sekolah Berbasis Data Dalam Meningkatkan Indikator Rapor Pendidikan di SD Negeri Kataan Lestari, Umi; Jumintono; Didi Supriyadi; Saryanto
PIJAR: Jurnal Pendidikan dan Pengajaran Vol. 4 No. 2 (2026): April
Publisher : CV Putra Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58540/pijar.v4i2.1592

Abstract

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis implementasi model refleksi sekolah berbasis data dalam meningkatkan indikator Rapor Pendidikan di SD Negeri Kataan. Latar belakang penelitian didasarkan pada masih adanya beberapa indikator mutu sekolah yang berada pada kategori kuning, terutama kemampuan literasi, numerasi, dan iklim kebhinekaan. Penelitian menggunakan pendekatan kualitatif deskriptif dengan desain studi kasus. Subjek penelitian terdiri atas kepala sekolah, guru, tenaga kependidikan, dan peserta didik yang dipilih secara purposive. Teknik pengumpulan data dilakukan melalui wawancara mendalam, observasi partisipatif, dan studi dokumentasi. Analisis data menggunakan model interaktif melalui reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa refleksi sekolah berbasis data dilakukan melalui analisis Rapor Pendidikan, identifikasi akar masalah, penyusunan program prioritas, pelaksanaan tindak lanjut, serta evaluasi berkala. Implementasi model tersebut terbukti meningkatkan capaian indikator sekolah dari kategori kuning menjadi hijau. Kemampuan literasi meningkat dari 67,86 menjadi 78,26, numerasi dari 60,71 menjadi 86,96, dan iklim kebhinekaan dari 60,74 menjadi 75. Penelitian ini menyimpulkan bahwa refleksi sekolah berbasis data efektif meningkatkan mutu sekolah, memperkuat budaya kolaboratif, serta mendorong pengambilan keputusan berbasis bukti.
Manajemen Teaching Factory dengan Pendekatan Deep Learning dalam Meningkatkan Kompetensi Peserta Didik di SMKN 1 Cangkringan Ningrum Pratiwi; Didi Supriadi; Rahmat Mulyono
Media Manajemen Pendidikan Vol 9 No 1 (2026): Juni 2026
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/mmp.v9i1.22110

Abstract

This study aims to analyze Teaching Factory management using a Deep Learning approach in improving student competency at SMKN 1 Cangkringan. This study aims to describe the application of Teaching Factory management functions, analyze the effectiveness of integrating the Deep Learning approach in Teaching Factory learning, and identify supporting and inhibiting factors in improving student competencies, including hard skills, soft skills, and life skills. The background of this research is the demand for vocational education to produce competent, adaptive graduates who are in line with the needs of the business world, industry, and the world of work (DUDIKA). This study used a descriptive qualitative method with a case study approach. The study was conducted at SMKN 1 Cangkringan. The research subjects included the Principal, Vice Principal for Curriculum, Head of the APHP Vocational Program, APHP Productive Teachers, APHP Students, and DUDIKA Partners. The data sources consisted of primary and secondary data. Data collection techniques were conducted through in-depth interviews, observations, and documentation studies. Research instruments included interview guidelines, observation guidelines, and documentation study lists. Data analysis techniques used the Miles and Huberman model, namely data reduction, data presentation, and conclusion drawing, while data validity was tested using source triangulation and techniques. The results of the study show that SMKN 1 Cangkringan has integrated Teaching Factory management through management functions, namely planning, organizing, actuating, and controlling. The Deep Learning approach contributes to creating meaningful, conscious, and contextual learning with the principles of mindful, meaningful, and joyful learning, which is effective in improving student competence. Supporting factors include the commitment of the principal, teacher competence, DUDIKA support, and vocational education policies, while inhibiting factors include differences in student readiness and limitations in certain infrastructure. This study concludes that Teaching Factory Management with a Deep Learning approach is a relevant and effective vocational learning model, and it is recommended to be developed continuously through strengthening management and industry partnerships.
Co-Authors Abdillah, Muhamad Abdul Rahim Adnan, Mazlini Binti Agustinus Eko Susetyo Alfiatul Maulida, Alfiatul Amin Suharjono Ana Fitrotun Nisa Antuni Wiyarsi Atina Rizanatul Fachriyah Berliana Henu Cahyani Cepi Safruddin Abdul Jabar Charisma Wulan Widananda Dafid Slamet Setiana Dinar Westri Andini Dwi Puji Lestari Dwi Yuliastuti Femi, Femi Havifah Cahyo Khosiyono Husaini Usman Hutri Darmayanti Ika Endar Prayogi Indah Kurniasih Jumintono Ketut Ima Ismara Khurniawan, Arie Wibowo Kitisak Keaw-aram Krisna Aji Wibowo M. Riza Syifaulliya Maulani, Rina Mazlini Binti Adnan Mohamad Waluyo muhammad irfan Muhammad Taufik Ismail Muhd Ibrahim bin Muhamad Damanhuri Mulatiwi, Tri Musrifah Musrifah, Musrifah Narawati, Arlina Yuli Niken Hajar Indah Sari Ningrum Pratiwi Pardimin Pardimin Pardimin Pardimin Pardimin Pardimin, Pardimin Pardimin, P Purbonuswanto, Welius Rahadi Rahadi Rahmat Mulyanto Rahmat Mulyono Ramadhan Sidik Rejokirono Rejokirono Rejokirono Rejokirono, Rejokirono RR. Ella Evrita Hestiandari Saleh, Khaerul Saryanto Saryanto Saryanto Saryanto Saryanto Setiawan Sariyoga, Setiawan Sidik, Ramadhan Siti Rochmiyati Sri Purnami, Sri Sunarto Sunarto Sutama Syamsul Hadi Umi Lestari Vivi Kusumadewi Wahyu Setya Ratri Winarsa, Raden Daru Murti Tri Yarmini, Yarmini Yuliastuti, Dwi Zainnur Wijayanto