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All Journal Cakrawala Pendidikan JURNAL PENELITIAN ILMU PENDIDIKAN Jurnal Pendidikan Indonesia Jurnal Pendidikan IPA Indonesia Musawa : Jurnal Studi Gender dan Islam Religious: Jurnal Studi Agama-Agama dan Lintas Budaya Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL ILMIAH MATEMATIKA DAN TERAPAN DWIJA CENDEKIA: Jurnal Riset Pedagogik JMPM: Jurnal Matematika dan Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat Cakrawala : Jurnal Kajian Manajemen Pendidikan Islam dan Studi Sosial Social, Humanities, and Educational Studies (SHEs): Conference Series Kappa Journal Ar-Rihlah: Jurnal Inovasi Pengembangan Pendidikan Islam Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Jurnal Riset dan Inovasi Pembelajaran LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran IBTIDA : Jurnal Kajian Pendidikan Dasar JURNAL PAI: Jurnal Kajian Pendidikan Agama Islam MATHunesa: Jurnal Ilmiah Matematika Jurnal Pendidikan dan Pembelajaran Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Kreasi: Jurnal Inovasi dan Pengabdian Kepada Masyaraka Circle: Jurnal Pendidikan Matematika Sahmiyya: Jurnal Ekonomi dan Bisnis ISJOUST Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Katalis Pendidikan: Jurnal Ilmu Pendidikan dan Matematika Tarbi: Jurnal Ilmiah Mahasiswa Jurnal Pendidikan dan Sosial Humaniora
Umi Mahmudah
UIN K.H. Abdurrahman Wahid Pekalongan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Mathematical Resilience and Academic Science Emotion in Students: New Insights from Canonical Correlation Analysis Umi Mahmudah; Moh. Muslih
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.8838

Abstract

This research aims to explore the correlation between mathematical resilience and academic science emotion and provides new insights into this association through the application of canonical correlation analysis. The study involved a sample of 191 students from a state university in Central Java, Indonesia. Participants completed self-report measures to assess their levels of mathematical resilience and academic science emotion. Data was collected by randomly distributing questionnaires to students, evaluating five indicators of academic resilience (self-efficacy, planning, control, low anxiety, persistence) and three indicators of science emotions (class-related emotions, learning-related emotions, test emotions). Canonical correlation analysis was conducted to examine the multidimensional relationship between these variables and identify underlying patterns and associations. The analysis, conducted using R programming, yielded canonical correlation coefficients of 0.785, 0.396, and 0.119, indicating a significant positive linear relationship between the analyzed variables. These findings provide insight for educators and policymakers to design interventions that enhance both mathematical resilience and emotional well-being in science education
Bibliometric analysis of deep learning research trends as a pedagogical approach to science learning in elementary schools (2021–2025) Mega Setya Handayani; Mawaddah Warohmah; Umi Mahmudah
Jurnal Penelitian Ilmu Pendidikan Vol. 18 No. 2 (2025): July–December
Publisher : Fakultas Ilmu Pendidikan, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpip.v18i2.94621

Abstract

The dynamics of education in the 21st century demand a pedagogical transformation towards holistic competency development. This study aims to analyze the research trend of Deep Learning as a pedagogical approach to social studies learning in elementary schools. Using bibliometric methods, this study mapped the intellectual structure of 574 scientific articles (2021–2025) sourced from Google Scholar through the Publish or Perish software and VOSviewer. The results of the network visualization analysis identified five main clusters that showed a shift in focus from the technical aspects of computing towards the integration of intelligent technologies in classroom practice. The publication trend jumped significantly after 2023, with the latest topics focusing on critical thinking, creativity, and artificial intelligence (AI) literacy. Density analysis reveals research gaps: the literature is dominated by science and STEM content, with little exploration of the social dimension (social studies) or local wisdom. This research concludes that Deep Learning has developed into a technological entity that supports the achievement of the 8 Dimensions of the Graduate Profile through the principles of mindful, meaningful, and joyful learning. The practical implications provide guidance for educators to integrate technology scaffolding with in-depth inquiry, shaping adaptive lifelong learners in the era of disruption.
Media Biji Jagung: Inovasi Pembelajaran Operasi Hitung Penjumlahan dan Pengurangan di Kelas 2 SD Negeri 02 Sokosari Winda Restalia; Umi Mahmudah
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 3 (2025): Juli 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v4i3.4358

Abstract

This qualitative study aims to analyze the implementation of corn seed media as an innovation in learning addition and subtraction arithmetic operations in Class 2 of SD Negeri 02 Sokosari. This study uses a case study approach with data collection techniques through participatory observation, in-depth interviews with teachers and students, and analysis of learning documents. The results of the study indicate that corn seed media is effective in improving students' conceptual understanding, especially for students with kinesthetic learning styles. The learning process goes through three main phases: introduction, operational, and evaluation, with 75% of students showing significant improvement in solving math problems. The findings also reveal that this media acts as a scaffolding that facilitates the transition of understanding from the concrete to the abstract stage, in accordance with Bruner's theory. The main obstacles include time management and classroom cleanliness, while positive responses come from teachers and students who consider this media fun and easy to access. This study recommends further development with the DECO (Discover, Engage, Contextualize, Optimize) approach and the need for school policies that support the use of local resources in learning. The implications of the study emphasize the importance of context-based media to create meaningful mathematics learning in elementary schools.
A MULTI-LAYER PERCEPTRON NEURAL NETWORK FOR PREDICTING MOBILE BANKING TRANSACTION Umi Mahmudah; Azzahra Lailatun Nahdi; Dini Aulia Ramadhani
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 02 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mobile banking has become increasingly prevalent in today's digital age, providing convenient and accessible financial transactions for users. This research used a multi-layer perceptron (MLP) of neural network model for forecasting mobile banking transaction volumes in Indonesia. Utilizing secondary data sourced from Bank Indonesia's official website, a dataset comprising 133 time series observations from January 2013 to January 2024 was analyzed. The data was divided into training and testing sets, with proportions of 80% and 20%, respectively. Analysis was conducted using RStudio. The MLP was configured with 5 hidden nodes and 20 repetitions. The evaluation of results revealed noteworthy differences in model performance between the training and test sets. The MLP model delivered high forecasting accuracy with minimal error, evidenced by a Mean Absolute Error (MAE) of 754.294, a Mean Absolute Percentage Error (MAPE) of 1.163, and a Mean Absolute Scaled Error (MASE) of 0.027. These results confirm the MLP model's reliability as an effective tool for time series forecasting. Forecasting results indicate a significant upward trend in mobile banking transaction volumes over the next 24 months (February 2024–January 2026). The highest volume is projected in December 2025, reaching 2,065,309 transactions, with minor fluctuations observed in some months. These findings provide valuable insights for financial institutions to strategize and allocate resources effectively to accommodate the anticipated growth in mobile banking
ANALISIS EFISIENSI DAN KONVERGENSI PENYELESAIAN METODE NEWTON-RAPHSON DAN TITIK TETAP DALAM PERSAMAAN NONLINEAR MENGGUNAKAN MATLAB khofifatun amila; Nadhifa Zulfa Shafira Aziz; Laras Salsabillah; Umi Mahmudah
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 01 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n1.p527-534

Abstract

Persamaan nonlinear merupakan salah satu permasalahan penting dalam bidang analisis numerik yang banyak dijumpai pada berbagai disiplin ilmu, namun umumnya sulit diselesaikan secara analitik. Oleh karena itu, diperlukan metode numerik untuk memperoleh solusi pendekatan yang efisien dan akurat. Penelitian ini bertujuan untuk menganalisis dan membandingkan efisiensi serta karakteristik konvergensi Metode Newton–Raphson dan Metode Titik Tetap dalam menyelesaikan persamaan nonlinear berbantuan MATLAB. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis eksperimen komputasional. Objek penelitian berupa satu persamaan nonlinear yang memiliki akar real. Parameter numerik yang digunakan pada kedua metode meliputi nilai awal yang sama, toleransi galat, dan batas maksimum iterasi agar perbandingan bersifat objektif. Analisis dilakukan berdasarkan jumlah iterasi, pola penurunan galat, kecepatan konvergensi, dan waktu komputasi. Hasil simulasi menunjukkan bahwa kedua metode mampu menghasilkan akar yang sama dengan tingkat akurasi yang baik. Namun, Metode Newton–Raphson menunjukkan efisiensi yang lebih tinggi dengan jumlah iterasi yang lebih sedikit dan penurunan galat yang lebih cepat karena memiliki konvergensi kuadratik. Sebaliknya, Metode Titik Tetap memiliki konvergensi linear sehingga memerlukan iterasi lebih banyak, meskipun stabil dan tidak memerlukan perhitungan turunan. Dengan demikian, Metode Newton–Raphson lebih direkomendasikan untuk penyelesaian persamaan nonlinear yang menuntut efisiensi tinggi, sedangkan Metode Titik Tetap dapat digunakan sebagai alternatif ketika turunan fungsi sulit diperoleh. Kata Kunci: Metode Newton–Raphson, Metode Titik Tetap, Persamaan Nonlinear, Konvergensi, MATLAB.
Confirmatory Factor Analysis to Analyze Multidimensional Muslim Family Resilience: A Case Study on Students Resilience during Online Learning Moh Muslih; Umi Mahmudah; Anik Maghfiroh; Muhammad Sulaiman Salim
DWIJA CENDEKIA: Jurnal Riset Pedagogik Vol 7, No 1 (2023): April 2023
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jdc.v7i1.65441

Abstract

Penelitian ini bertujuan untuk menganalisis model resiliensi keluarga Muslim multidimensional di masa Pandemi COVID-19 dan kaitannya dengan resiliensi mahasiswa dalam pembelajaran online. Pendekatan kuantitatif digunakan dengan jenis penelitian adalah studi kasus. Metode analsiis data menggunakan confirmatory factor analysis (CFA) berbantuan software AMOS. Sebanyak 104 responden dianalisis. Hasil analisis mengindikasikan bahwa model resiliensi keluarga Muslim multidimensional terkonfirmasi mencakup tiga dimensi, yaitu individu, keluarga, dan komunitas. Ketiga dimensi saling terkait dan tidak bisa dipisahkan. Hasil juga mengemukakan dimensi individu dan keluarga memiliki korelasi sebesar 0,534. Dimensi individu dan komunitas memiliki korelasi sebesar 0,300. Sementara itu, dimensi keluarga dan komunitas memiliki nilai korelasi sebesar 0,475. Resiliensi mahasiswa, sebagai individu juga terdampak oleh resiliensi keluarga dan komunitas. Rekomendasi lanjutan dapat dilakukan pada analisis faktor-faktor yang mempengaruhi resiliensi keluarga Muslim dalam menghadapi situasi krisis atau perubahan, baik dalam konteks pembelajaran online maupun dalam konteks kehidupan sehari-hari. Hasil penelitian ini dapat memberikan rekomendasi praktis untuk meningkatkan resiliensi keluarga muslim multidimensional dalam menghadapi tantangan yang dihadapi oleh mahasiswa dalam proses belajar online.
TRANSFORMASI PEMBELAJARAN IPAS DI ERA DIGITAL MELALUI PENDEKATAAN DEEP LEARNING UNTUK MENINGKATKAN LITERASI SAINS DAN KEMANDIRIAN BELAJAR SISWA Tri Unggul Sari Asih; Akhmad Dalil Rohman; Uki Adi Prasetiya; Umi Mahmudah
LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Vol. 6 No. 1 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/learning.v6i1.8629

Abstract

The transformation of education in the digital era requires IPAS learning in elementary schools to move beyond conventional approaches and to foster students’ scientific literacy, critical thinking, and learning independence as essential 21st-century competencies. However, various reports and research findings indicate that the scientific literacy of Indonesian elementary school students remains relatively low, while classroom learning practices are still dominated by lecturing and rote memorization with limited and suboptimal use of technology. This condition highlights the need for more meaningful, contextual, and student-centered learning approaches. This study focuses on examining the application of the Deep Learning approach in IPAS learning as a strategy to enhance scientific literacy and learning independence among elementary school students. The study employed a library research method with a qualitative approach, involving the identification, selection, and analysis of various literature sources, including books, national and international journal articles, and relevant research reports published over the past ten years. Data analysis was conducted using content analysis techniques to identify patterns, concepts, and key findings related to Deep Learning, scientific literacy, and learning independence. The results indicate that the Deep Learning approach, implemented through problem-based learning, inquiry-based learning, project-based learning, and blended learning strategies supported by interactive digital media, has the potential to increase student engagement, understanding of scientific concepts, the ability to analyze scientific phenomena, and learning independence. The findings conclude that the Deep Learning approach is relevant and has strong potential for implementation in elementary school IPAS learning, provided that it is supported by teacher readiness, adequate facilities and infrastructure, and systematic instructional planning to ensure optimal impact on improving students’ scientific literacy and learning independence. ABSTRAK Transformasi pendidikan di era digital menuntut pembelajaran IPAS di sekolah dasar tidak lagi bersifat konvensional, tetapi mampu mengembangkan literasi sains, berpikir kritis, dan kemandirian belajar siswa sebagai kompetensi abad ke-21. Namun, berbagai laporan dan hasil penelitian menunjukkan bahwa literasi sains siswa sekolah dasar di Indonesia masih relatif rendah, sementara praktik pembelajaran di kelas masih didominasi metode ceramah dan hafalan dengan pemanfaatan teknologi yang belum optimal. Kondisi ini menunjukkan perlunya pendekatan pembelajaran yang lebih bermakna, kontekstual, dan berpusat pada siswa. Penelitian ini berfokus pada kajian penerapan pendekatan Deep Learning dalam pembelajaran IPAS sebagai strategi untuk meningkatkan literasi sains dan kemandirian belajar siswa sekolah dasar. Penelitian ini menggunakan metode library research dengan pendekatan kualitatif, melalui penelusuran, seleksi, dan analisis berbagai sumber pustaka berupa buku, artikel jurnal nasional dan internasional, serta laporan penelitian yang relevan dan dipublikasikan dalam sepuluh tahun terakhir. Analisis data dilakukan menggunakan teknik analisis isi untuk mengidentifikasi pola, konsep, dan temuan utama terkait Deep Learning, literasi sains, dan kemandirian belajar. Hasil kajian menunjukkan bahwa pendekatan Deep Learning, melalui strategi problem-based learning, inquiry-based learning, project-based learning, dan blended learning yang didukung media digital interaktif, berpotensi meningkatkan keterlibatan siswa, pemahaman konsep sains, kemampuan analisis fenomena ilmiah, serta kemandirian belajar. Simpulan penelitian ini menegaskan bahwa pendekatan Deep Learning relevan dan potensial diterapkan dalam pembelajaran IPAS di sekolah dasar, dengan catatan diperlukan kesiapan guru, dukungan sarana prasarana, serta perencanaan pembelajaran yang sistematis agar implementasinya memberikan dampak optimal terhadap peningkatan literasi sains dan kemandirian belajar siswa.  
Studi Deskriptif Tentang Peran Guru sebagai Fasilitator Literasi Numerasi dalam Pembelajaran Matematika di Kelas Rendah MI/SD Dian Ika Safitriana; Kamilatul Fatiyah; Umi Mahmudah
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 5 No. 1 (2025): Maret : Jurnal Pendidikan dan Sosial Humaniora
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v5i1.6026

Abstract

Elementary education plays a pivotal role in shaping students’ cognitive, affective, and psychomotor development. Among the essential 21st-century skills, numeracy literacy is crucial for enabling students to interpret and utilize quantitative information in real-life contexts. Despite its importance, international assessments such as PISA indicate that Indonesian students’ numeracy skills remain low. This study aims to explore the role of teachers as facilitators in promoting numeracy literacy through mathematics instruction in lower elementary grades (grades I–III) at Madrasah Ibtidaiyah. Employing a qualitative descriptive approach, data were collected through classroom observations, in-depth interviews, and document analysis at MIS Wonoyoso, involving three teachers with over three years of experience. The findings reveal that although lesson planning aligns with the curriculum, it remains focused on procedural skills and lacks contextual and conceptual depth needed for numeracy development. Teachers demonstrated limited understanding of numeracy as a broader cognitive ability beyond basic arithmetic. Challenges identified include time constraints, lack of resources, and limited professional training. The study concludes that to effectively function as facilitators of numeracy literacy, teachers need continuous professional development, contextual teaching strategies, and collaborative platforms to reflect on and enhance numeracy-focused instruction. Strengthening these areas is essential for fostering students' logical reasoning and problem-solving abilities from early education.
Transformasi Pembelajaran Matematika SD Melalui Deep Learning: Strategi untuk Meningkatkan Motivasi dan Prestasi Novita Barokah; Umi Mahmudah
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 5 No. 1 (2025): Maret : Jurnal Pendidikan dan Sosial Humaniora
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v5i1.6105

Abstract

This study aims to systematically examine various mathematics learning strategies based on deep learning approaches that can enhance elementary school students’ motivation and academic achievement. In the context of education, deep learning refers to learning processes that emphasize conceptual understanding, interrelated knowledge, and the development of critical and reflective thinking skills. Using the Systematic Literature Review (SLR) method, this research analyzes 20 relevant scholarly articles published between 2015 and 2024, sourced from leading databases such as Google Scholar. The review findings indicate that strategies such as problem-based learning (PBL), project-based learning (PJBL), metacognitive strategies, and the use of interactive learning technologies consistently improve student engagement, foster intrinsic motivation, and enhance mathematics learning outcomes. These findings suggest that integrating deep learning-based instructional strategies is highly relevant for elementary mathematics education, aiming to create more meaningful, student-centered learning experiences.
Co-Authors Abdul Khobir Akhmad Dalil Rohman Alisia Zahro’Atul Baroroh Anik Maghfiroh Anik Maghfiroh Aryani Indri Arsani Asis Kainanto Azzahra Lailatun Nahdi Birrotul Muttaqiyah Budiono Chamdani, Muhammad Chirnawati, Sefti Choirun Nahdliyin Dian Ika Safitriana Diana, Rizki Dini Aulia Ramadhani Dini Istiqomah Dwi Saviana Risqi Agustin Eris Wijayanti Fatikhaturrohmah Fatikhaturrohmah Fenika Yulianti Fitrotunnida, Tsania Hana Nisrina Hanifatul Lutfiyah Haryati, Annisa Eka Ina Mutmainah Irsyad, Mohammad Jati, Wildan Kharisma Kamilatul Fatiyah Khaerus Syahidi khofifatun amila Laela Rahmawati Laely Nur Rohmah Laras Salsabillah Lilis Mulyawati Lola, M. S. M. Avicena Fatkhurrohman Al Hudri Maghfur Ahmad Mawaddah Warohmah Mega Setya Handayani Moh. Muslih Moh. Muslih Muhamad Chamdani Muhamad Chamdani Muhamad Chamdani Muhamad Safiih Lola Muhammad Sulaiman Salim Muhammad Sulaiman Salim Munawaroh, Zakiyatul Nadhifa Zulfa Shafira Aziz Nasifatul Ulya Ni'am, M. Khusnun NISA, ZUHROTUN Noviati, Yusufi Novita Barokah Nur Salsabila Puguh Wahyu Prasetyo, Puguh Qonaah, Indah R. Neli Kismiati Rokhmaniyah Rokhmaniyah, Rokhmaniyah S. Fatimah, S. Salsabila, Maulina Rezka Hayyu Santika Lya Diah Pramesti Saputra, Ikhwan Siti Fatimah Siti Fatimah SITI FATIMAH Siti Fatimah Siti Fatimah Siti Fatimah Siti Fatimah Siti Fatimah Siti Fatimah Siti Mumun Muniroh Siti Musfuji'atun Sofiyudin Arif Sugiyarto Surono, Sugiyarto Suryandari, K. C. Tarmidzi, Mr Teguh Handoyo Tri Unggul Sari Asih Uki Adi Prasetiya Vila Sufia, Nila Vina Dhiyaul Aulia Winda Restalia Yuli Oktariyanti Zaenal Mustakim Zakiyah, Nur