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All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Varidika Manajemen Pendidikan Journal of Research and Advances in Mathematics Education Jurnal Manajemen Pendidikan Math Didactic: Jurnal Pendidikan Matematika Jurnal Mercumatika : Jurnal Penelitian Matematika dan Pendidikan Matematika Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Basicedu EDUKATIF : JURNAL ILMU PENDIDIKAN FIBONACCI: Jurnal Pendidikan Matematika dan Matematika TIN: TERAPAN INFORMATIKA NUSANTARA Ideguru: Jurnal Karya Ilmiah Guru Buletin Literasi Budaya Sekolah Jurnal Basicedu Jurnal Ilmu Multidisplin Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research Euclid Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Proceeding International Conference on Mathematics and Learning Research JME (Journal of Mathematics Education) Jurnal Manajemen Pendidikan
Sumardi Sumardi
Universitas Muhammadiyah Surakarta
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Analisis Pembelajaran Berdiferensiasi pada Materi Stastistik di Kelas VI Sekolah Dasar Bayu Kurniawan; Yayuk Sumarni; Siti Fatimah; Budi Murtiyasa; Sumardi Sumardi
Ideguru: Jurnal Karya Ilmiah Guru Vol. 9 No. 3 (2024): Edisi September 2024
Publisher : Dinas Pendidikan, Pemuda dan Olahraga Daerah Istimewa Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51169/ideguru.v9i3.1290

Abstract

Statistics as a subject matter for mathematics lessons is taught from elementary school. Statistics play an important role in the progress of a nation. The role of the teacher as a person who transfers knowledge to students must pay attention to the diversity of their students so that they are able to apply appropriate methods, models and strategies in the teaching and learning process. Many teachers fail to teach statistics material in class VI elementary schools. This failure was caused by teachers not paying attention to the diversity of their students. This research aims to provide an alternative solution for how differentiated learning can be used as a way to teach statistical material in class VI elementary schools. The method used in this research uses descriptive statistical analysis and qualitative descriptive analysis to provide a comprehensive picture of the learning process in class and the results obtained with differentiated learning. The results obtained from this research are that differentiated learning is able to improve student learning outcomes, especially in statistical material in elementary schools. This result can be seen from the average student score at the beginning, namely 47.95 or in the very low category, increasing to an average of 74.55 or in the medium category.
The Ability of Student of SMK Negeri 1 Sragen employs Cognitive Method on Algebra Questions S Sumardi; Bangun Dwi Susanto
Proceeding International Conference on Mathematics and Learning Research 2025: Proceeding International Conference on Mathematics and Learning Research
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This study explores students' conceptual understanding and problem-solving approaches in algebra, specifically focusing on the interpretation and manipulation of algebraic expressions and equations. The research was conducted at SMK Negeri 1 Sragen with first-year students as informants. Using a qualitative descriptive method, the study analyzes students' responses to algebraic problems that involve symbolic reasoning, operations with variables, and rational expressions. Data collection involved observation, problem-solving tests, and interviews, with data validity ensured through triangulation techniques. Two informants employed different cognitive strategies in solving equivalent algebraic problems. While both demonstrated some logical consistency, their solutions revealed common misconceptions, such as misapplying the distributive property and misunderstanding the implications of dividing by zero. In particular, the study identified that assuming division by zero in expressions like y/z - z led to invalid conclusions. However, when solving the equation xy = x/y = x-y both informants eventually arrived at the consistent solution x=−1/2, y=−1 confirming the validity of their algebraic reasoning under guided support.The results highlight the need for deeper conceptual instruction in algebra, especially in understanding symbolic manipulation and domain restrictions. The findings also underscore the importance of implementing cognitive-based learning strategies in mathematics education to enhance students' critical thinking and problem-solving skills.
Transformasi Evaluasi Pembelajaran Berbasis Artificial Intelligence Pada Sekolah Menengah Kejuruan Rulli Widiantoro; Hindarto Hindarto; Jasno Jasno; Sumardi Sumardi
JURNAL MANAJEMEN PENDIDIKAN Vol. 14 No. 02 (2026): Jurnal Manajemen Pendidikan (SI)
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jmp.v14i02.120

Abstract

TRANSFORMATION OF ARTIFICIAL INTELLIGENCE-BASED LEARNING EVALUATION IN VOCATIONAL HIGH SCHOOLS The digital transformation in the education sector has driven the adoption of Artificial Intelligence (AI) as an increasingly relevant learning evaluation instrument. This study comprehensively analyzes the transformation of AI-based learning evaluation in Vocational High Schools (SMK) in Indonesia, covering implementation dimensions, structural challenges, and its impact on the quality of student competency assessment. The method used is a Systematic Literature Review (SLR) with PRISMA protocol, analyzing 45 scientific articles published in the period 2022–2026 from the Scopus, Web of Science, and Google Scholar databases. The selection process was carried out through three filtering stages producing high-quality articles with a minimum QUALIS score of B2. The results show that AI implementation in learning evaluation at SMK provides assessment efficiency of up to 68%, improves student competency identification accuracy by 54%, facilitates more personalized and real-time feedback, and reduces subjective assessment bias by 43%. Thematic analysis reveals six main implementation patterns: auto-grading (78%), learning pattern analysis (65%), adaptive material recommendations (61%), digital portfolio assessment (57%), academic dishonesty detection (52%), and learning outcome prediction (43%). Key challenges include limited technology infrastructure (72%), lack of teacher digital competency (65%), student data privacy issues (48%), school cultural resistance to change (39%), and absence of specific technical regulations (34%). This study recommends developing an adaptive and contextual AI ecosystem, accompanied by strengthening digital literacy for educators and establishing comprehensive student data governance policies.
Evaluasi Kesiapan SDM dalam Mengadopsi Sistem Informasi Manajemen Pendidikan Terpadu di MTS Muhammadiyah Al Manar Demak Umi Mahdhuroh; Arif Rumiyadi; Mukhammad Shobirin; Suranto Suranto; Sumardi Sumardi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.10823

Abstract

Penelitian ini bertujuan mengevaluasi kesiapan sumber daya manusia (SDM) dalam mengadopsi Sistem Informasi Manajemen Pendidikan Terpadu (SIMPT) di MTs Muhammadiyah Al Manar Demak sebagai upaya mendukung transformasi digital dalam tata kelola pendidikan. Penelitian dilatarbelakangi oleh meningkatnya tuntutan digitalisasi layanan pendidikan yang belum sepenuhnya diimbangi oleh kesiapan kompetensi SDM, sehingga berpotensi menghambat efektivitas implementasi sistem informasi di lingkungan madrasah. Penelitian menggunakan pendekatan kualitatif dengan desain studi kasus untuk memperoleh pemahaman yang mendalam mengenai pengalaman, persepsi, dan proses adaptasi pengguna terhadap penerapan SIMPT. Data dikumpulkan melalui wawancara semi-terstruktur, observasi partisipatif, dan studi dokumentasi. Informan penelitian terdiri atas kepala madrasah, guru, tenaga administrasi, dan operator sistem yang dipilih menggunakan teknik purposive sampling. Analisis data dilakukan dengan model interaktif Miles, Huberman, dan Saldaña yang meliputi kondensasi data, penyajian data, serta penarikan dan verifikasi kesimpulan. Hasil penelitian mengungkapkan lima tema utama, yaitu persepsi positif terhadap manfaat sistem, kompetensi digital sebagai fondasi kesiapan, dukungan organisasi sebagai penguat proses adopsi, hambatan teknis dan nonteknis selama implementasi, serta dampak SIMPT terhadap efektivitas pengelolaan administrasi dan pengambilan keputusan. Temuan penelitian menunjukkan bahwa kesiapan SDM dibentuk oleh interaksi antara kompetensi individu, pengalaman penggunaan teknologi, persepsi kemudahan dan kegunaan sistem, serta dukungan organisasi. Penelitian ini memberikan kontribusi terhadap pengembangan kajian administrasi pendidikan dengan menegaskan bahwa kapasitas SDM merupakan faktor strategis dalam keberhasilan transformasi digital. Oleh karena itu, madrasah perlu memperkuat pelatihan berkelanjutan, pendampingan teknis, serta pengembangan budaya organisasi yang adaptif terhadap inovasi teknologi.
Co-Authors Ahmad Muhibbin Ali Muckromin Anggita Ratih Lidiatanti Ani Budiarti Anisa Muthi'atul Hanifah Arif Rumiyadi Bambang Sumardjoko Bangun Dwi Susanto Bayu Kurniawan Budi Murtiyasa Damai Ari Kontesa Definka Puan Shalika Abdillah Dewi Nurul Kamal Djalal Fuadi Fitri Ayuningsih Gustina Anugerahwati Soekarno Heri Widiyantoro Herwinanda Trisnaning Damayanti Hesti Oki Rahayu Hindarto Hindarto Indah Amalia Ipung Purwati Jasno Jasno Liana Prabandari* Luqmanul Hakim Ma'rifatul Jannah Minsih Mirza Julia Nurcahyani Muh Rifki Nugroho Mukhammad Shobirin Naufal Ishartono Nourma Ayu Sulistiyowati Novia Yuni Prasasti Nur Hakiky Nuryati Nuryati Rini Budiwati Roza Cyintia Salwa Azhar Rulli Widiantoro Septian Henry Riswandha Siti Aminuriyah Siti Fatimah Siti Malikah Siti Uswatun Khasanah Sofyan Anif Sri Hartini Suranto Suranto Suranto Suranto Suranto Suranto Susi Rahayu Tjipto Subadi Tri Anasari Umi Mahdhuroh Wican Nur Aslami Winarti Winarti Yayuk Sumarni Yuni Yati Yunita Azmil Arofaturrohman Yusuf Nurrahman Zahiyah Asla Salsabila