Claim Missing Document
Check
Articles

Pemberdayaan Guru MGMP SMP Kabupaten Kediri Melalui Pelatihan Joyful Learning Berbasis Praktik dalam Pembelajaran Matematika Bambang Agus Sulistyono; Suryo Widodo; Aprilia Dwi Handayani; Lina Rihatul Hima; Ika Santia; Yuni Katminingsih; Dian Devita Yohanie; Samijo Samijo; Darsono Darsono; Jatmiko Jatmiko; Arya Bagas Susanto; Anggi Larasati; Nanda Nacaska; Khusnul Arifah; Karyawati Karyawati; April Rudianto
Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026): Mei 2026
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/kontribusi.v6i2.839

Abstract

Latar Belakang: Guru matematika SMP di Kabupaten Kediri masih menghadapi tantangan dalam menciptakan suasana belajar yang menyenangkan. Pembelajaran cenderung berorientasi pada hasil, bukan proses berpikir siswa. Hal ini berdampak pada rendahnya minat dan identitas matematis siswa. Tujuan: Kegiatan pengabdian ini bertujuan memberdayakan guru MGMP SMP Kabupaten Kediri melalui pelatihan joyful learning berbasis praktik nyata dalam pembelajaran matematika. Metode: Metode pelaksanaan terdiri atas tiga tahap: (1) need assessment untuk mengidentifikasi kebutuhan guru; (2) pelatihan berbasis praktik yang melibatkan simulasi pembelajaran dan micro teaching; dan (3) pendampingan reflektif. Hasil: Kegiatan ini menghasilkan peningkatan kemampuan guru dalam merancang pembelajaran yang bermakna dan menyenangkan. Sebanyak 91% peserta mampu mengintegrasikan strategi joyful learning dengan konteks materi matematika yang diajarkan. Kesimpulan: Pelatihan berbasis praktik terbukti efektif meningkatkan kompetensi pedagogis dan kreativitas guru dalam menerapkan joyful learning pada pembelajaran matematika di SMP.
Pelatihan dan Pendampingan Guru Matematika pada Pemanfaatan Artificial Intelligence untuk Penyusunan Desain Pembelajaran Hendarto Cahyono; Moh. Mahfud Effendi; Siti Khoiruli Ummah; Dian Devita Yohanie
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 1 (2026): Mei 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v6i1.4125

Abstract

Artificial Intelligence (AI) plays a role in learning to create fast, practical and interesting learning designs. However, not all educators are able to use and organize the layout of the learning design created by AI. The problems of partners, namely vocational high school teachers, conveyed through FGDs include 1) the need for cooperation with universities to improve the quality of learning in vocational high schools, 2) AI has not been used wisely by students, and 3) teachers have difficulty in designing interesting learning designs and utilizing technology. Based on the problems that occur in schools, the focus of the community service program is the use of AI to design learning. The implementation method as well as the solution offered is by providing teacher training to design learning designs and assisting teachers in using AI. The stages of implementation include FGDs with the school regarding the scheduling and target achievements of each program, training, mentoring and evaluation. Community service activities involved 17 teachers from various subjects. The results of the community service are that teachers are able to utilize AI in compiling learning designs that include teaching modules, LKPD, quizzes and assessment rubrics. The AI ​​applications used include ChatGPT, MagicSchoolAI, and Gemini. Teachers said that the use of AI makes teachers' administrative work easier and faster. In addition, students appear more interested in using learning media created using AI.
Analysis of the application of the deep learning approach in mathematics learning for class x students of state senior high school 6 kediri city Khusnul Arifah; Darsono Darsono; Dian Devita Yohanie
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 9, No 2 (2026): Hipotenusa Journal of Research Mathematics Education (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v9i2.4593

Abstract

This study aims to describe the application of the Deep Learning approach in mathematics learning and examine its impact on student engagement and understanding of the Three-Variable Linear Equation System (SPLTV) material. The study used a qualitative approach with a descriptive design and was conducted at SMA Negeri 6 Kediri City. The research subjects consisted of one mathematics teacher and 36 students of grades X-10 who were selected purposively. Data collection was carried out through observation, semi-structured interviews, and documentation, with triangulation techniques to ensure data validity. Data analysis was carried out through the stages of data reduction, data presentation, and drawing conclusions. The results showed that the application of the Deep Learning approach through simulation-based contextual learning provided a positive indication of student engagement and understanding. Students appeared more active in discussions, dared to express their opinions, and were able to relate mathematical concepts to real situations. Contextually designed learning also created a meaningful and enjoyable learning atmosphere. However, its implementation still faces obstacles, such as limited learning time and differences in student characteristics. These findings indicate that the Deep Learning approach has the potential to be an alternative mathematics learning strategy that can support the formation of a more meaningful and contextual learning experience.
Students’ mathematical critical thinking during project-based probability learning: A repeated-measures study Febi Widarwati; Dian Devita Yohanie; Darsono
Jurnal Pendidikan Matematika (JPM) Vol 12 No 2 (2026): Jurnal Pendidikan Matematika (JPM)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jpm.v12i2.25861

Abstract

In the 21st century, mathematical critical thinking is a core competency that students must master. However, high school students still struggle to analyze word problems in mathematics. This study examines how students’ mathematical critical thinking skills develop over three Project-Based Learning (PjBL) sessions on probability. The study employs a quantitative approach with a pre-experimental, single-group repeated measures (time-series) design, involving 35 10th-grade students at SMAN 3 Kediri (Public Senior High School 3 Kediri). Data were collected through essay-based word-problem tests at the end of each session and assessed using a rubric based on the six FRISCO indicators (Focus, Reasoning, Inference, Situation, Clarity, and Overview), adapted from Ennis. The data were analyzed using the nonparametric Friedman and Wilcoxon Signed-Rank tests because the distributions of Test 2 and Test 3 scores deviated from normality. Average scores increased gradually from 59.86 (Test 1) to 61.61 (Test 2) and 69.04 (Test 3), with a statistically significant increase only observed from Test 2 to Test 3. At the indicator level, “Focus” and “Situation” increased sharply in the third session; “Reason” remained the strongest indicator, while “Inference” and “Overview” remained the weakest. These findings suggest that students’ mathematical critical thinking skills developed gradually throughout the PjBL sequence, although the single-group design without a control group limits causal claims regarding PjBL’s contribution. Teachers are advised to supplement PjBL with explicit scaffolding during the inference and answer evaluation stages.
Exploring senior high school students' perceptions of artificial intelligence as a mathematics learning assistant Ihqlil Sekti Nugroho; Dian Devita Yohanie; Darsono Darsono
Jurnal Pendidikan Matematika (JPM) Vol 12 No 2 (2026): Jurnal Pendidikan Matematika (JPM)
Publisher : Department of Mathematics Education, Faculty of Teacher Training and Education, Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jpm.v12i2.25877

Abstract

The development of Artificial Intelligence (AI) has presented various opportunities in education, including as a learning assistant in mathematics. This study aims to determine students' perceptions of the use of AI as a learning assistant, identify the forms of AI utilization in mathematics learning, and assess the risks and limitations of its use. This study employed a descriptive qualitative approach. Questionnaire responses from 31 students were used to provide an initial description of students' perceptions. In comparison, semi-structured interviews with five selected students were conducted to obtain in-depth qualitative data at Public Senior High School (SMA Negeri) 7 Kediri. Data were collected through questionnaires and semi-structured interviews, then analyzed using thematic analysis. The results showed that students had a positive perception of the use of AI in mathematics learning. AI is used primarily to help understand material, obtain additional explanations, and solve math problems. However, students still rely more on teachers and other learning resources to understand mathematical concepts in depth. This study also found that students are aware of the risks of using AI, such as potential dependency, reduced self-study efforts, and decreased independent thinking skills if used excessively. Furthermore, nearly all students believed that AI cannot replace the role of teachers in learning. These findings indicate that students perceive AI as a potentially useful learning assistant for mathematics learning when its use is guided by teachers and accompanied by critical evaluation of AI-generated information.