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All Journal KADIKMA Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Jurnal Kajian Pembelajaran Matematika JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Pertanian ( JIPERTA) LINEAR: Journal of Mathematics Education Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat ProBisnis : Jurnal Manajemen Jurnal MathEducation Nusantara Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Polynom: Journal in Mathematics Education Mathema: Jurnal Pendidikan Matematika
Iqbal Ramadani
UIN Sunan Kalijaga Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Physics Public Health Social Sciences Other

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Eksplorasi & Seleksi Cendawan Rizosfer Pada Tanaman Kelapa Sawit (Elaeis Guinnensis Jacq) yang Berpotensi Sebagai Entomopatogen Ramadani, Iqbal; Vajri, Indri Yanil
Jurnal Ilmiah Pertanian ( JIPERTA) Vol 7, No 1 (2025): Jurnal Ilmiah Pertanian (JIPERTA), Maret
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jiperta.v7i1.5989

Abstract

Oil palm (Elaeis guineensis Jacq) is a strategic plantation commodity in Indonesia that plays an important role in the national economy. However, the productivity of these plants is often hampered by pest attacks such as fireworms (Setora nitens) and horn beetles (Oryctes rhinoceros). So far, pest control has relied more on synthetic pesticides that have a negative impact on the environment and health. This study aims to explore the potential of local entomopathogenic fungi from oil palm rhizosphere soils as biological agents for pest control. The research was carried out through the stages of isolation, morphological characterization, and bioassay tests on Tenebrio molitor larvae. The results showed six mushroom isolates, namely Aspergillus sp., Beauveria sp., and Trichoderma sp. From the bioassay test, three isolates were pathogenic to the larvae, with the isolate Beauveria sp. (CRT 03) showed the highest mortality of 85%, LT₅₀ for 4.26 days, and mycosis 55.88%. These results show that Beauveria sp. CRT 03 has high potential as a local bioinsecticide. This research supports the development of sustainable pest control in oil palm plantations through the use of environmentally friendly biological agents.
AI in mathematics education: Potential ranging from automation to personalized learning Ramadhani, Alifia Kania; Ramadani, Iqbal
LINEAR: Journal of Mathematics Education Vol. 6 No. 1 (2025): Volume 6 Nomor 1 June 2025
Publisher : Fakultas Tarbiyah dan Ilmu Keguran IAIN Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/46xc9p64

Abstract

The rapid development of artificial intelligence (AI) is reshaping many aspects of education, yet its meaningful contribution to mathematics instruction and student learning outcomes remains underexplored. Understanding how AI can enhance mathematical thinking, problem-solving, and personalized learning is critical in preparing students for future competencies. One of the challenges in learning mathematics is how to make it relevant to the times. One emerging approach was using artificial intelligence (AI) in mathematics education. Based on a literature review, this study aimed to explore and describe the potential of artificial intelligence (AI) in mathematics education. The method used was a literature review with a narrative design. Literature searches were conducted through reputable international sites such as Scopus, ScienceDirect, Springer, and World Scientific, with English keywords and years from 2015 to 2025. The collected literature was thematically analyzed to identify key themes such as AI usage trends, AI development potential, and implementation challenges. The results indicated that AI was increasingly used in mathematics education, particularly in various AI-assisted instructional tasks. Further potential in AI shows promise in personalizing learning and automating tasks, though challenges remain. In conclusion, AI is promising to transform mathematics education through adaptive, individualized, and data-informed learning approaches. However, its success depended on careful planning, teacher readiness, ethical frameworks, and alignment with educational goals and local contexts. These findings underscored the need for further research and context-specific development to ensure AI's effective and equitable integration into mathematics learning environments.
Enhancing Mathematical Problem-Solving Skills Through Metacognitive Awareness Ramadani, Iqbal
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Penelitian ini menyoroti peran penting kesadaran metakognitif dalam meningkatkan kemampuan siswa dalam memecahkan masalah matematika. Penelitian ini melibatkan siswa salah satu MAN di Sleman dan menggunakan kualitatif dengan analisis deskriptif. Data dikumpulkan melalui tes kemampuan pemecahan masalah dan kuesioner terkait aktivitas metakognitif yang mencakup kesadaran, regulasi, dan evaluasi. Hasil penelitian menunjukkan bahwa siswa dengan tingkat kesadaran metakognitif yang tinggi memiliki kemampuan pemecahan masalah yang lebih baik. Sebaliknya, siswa dengan kesadaran metakognitif rendah mengalami kesulitan dalam memahami masalah, memilih strategi yang tepat, dan mengevaluasi kemajuan mereka. Temuan ini menunjukkan bahwa pengembangan keterampilan metakognitif sangat penting untuk meningkatkan kinerja siswa dalam pemecahan masalah matematika. Selain itu, data kualitatif dari wawancara dan observasi mengungkapkan bahwa guru memainkan peran penting dalam mendorong refleksi, pemikiran strategis, dan evaluasi diri pada siswa. Penelitian ini menyarankan agar praktik pendidikan lebih fokus pada pelatihan metakognitif untuk mendukung perkembangan kognitif dan metakognitif siswa.
Community-Based Training and Mentoring on Interactive E-LKPD Development for Mathematics Teachers in MTs Sleman Regency Ramadani, Iqbal; Wulandari, Nidya Ferry; Permatasari, Dian
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): Januari 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i1.1080

Abstract

The development of interactive Electronic Student Worksheets (E-LKPD) plays an important role in supporting technology-integrated mathematics learning. However, many teachers still face challenges in developing interactive E-LKPD, particularly related to technical and pedagogical skills. This article aims to describe the implementation and outcomes of a community service program in the form of community-based training and mentoring on interactive E-LKPD development for mathematics teachers at Madrasah Tsanawiyah (MTs) in Sleman Regency. The program was conducted fully online in 2025 and involved 30 mathematics teachers who are members of the MTs Mathematics Teacher Working Group (MGMP). A Community-Based Research (CBR) approach was employed, consisting of preparation, training implementation, and mentoring stages. Program evaluation was carried out qualitatively by collecting participants’ feedback, comments, and suggestions. The results indicate an improvement in teachers’ ability to develop interactive E-LKPD, positive perceptions of the training and mentoring activities, and teachers’ intentions to implement interactive E-LKPD in mathematics instruction. Nevertheless, several challenges were identified, including limited digital experience and technical constraints. Overall, the findings suggest that community-based training and mentoring have the potential to provide sustainable impact in enhancing mathematics teachers’ digital pedagogical competence.
Analisis Kemampuan Berpikir Kritis Siswa Kelas VII Pada Materi Persegi dan Persegi Panjang Alifa, Vina Noer; Ersa Nurhaliza; Iqbal Ramadani
Polynom: Journal in Mathematics Education Vol. 5 No. 1 (2025): Maret 2025
Publisher : Pusat Studi Pengembangan Pembelajaran Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/polynom.2025.51.22-30

Abstract

Kemampuan berpikir kritis merupakan salah satu kompetensi esensial yang harus dimiliki oleh siswa dalam pembelajaran matematika. Sebab kemampuan berpikir kritis dapat melatih siswa untuk berpikir lebih logis, sistematis, dan analitis. Penelitian ini bertujuan untuk mendeskripsikan kemampuan berpikir kritis siswa kelas VII di MTs Negeri 9 Sleman pada materi persegi dan persegi panjang. Pendekatan yang digunakan adalah kualitatif deskriptif dengan melalui subjek penelitian sebanyak 61 siswa. Adapun hasil jawaban siswa dikategorikan menjadi 3 kategori yaitu tinggi, sedang, dan tinggi. Prosedur dalam penelitian ini meliputi penyusunan instrumen tes, validasi instrumen tes, revisi instrumen tes, uji coba lapangan, analisis data, dan terakhir mendeskripsikan hasil kemampuan berpikir kritis siswa. Pengumpulan data yang digunakan berupa tes uraian yang mengacu pada lima indikator kemampuan berpikir kritis yaitu interpretation, analysis, inference, evaluation, dan explanation. Teknik analisis data dalam penelitian dimulai dari pengumpulan data, mereduksi data, menyajikan data, dan yang terkahir menarik kesimpulan. Hasil yang diperoleh dalam penelitian ini menunjukkan bahwa terdapat 13 siswa berketegori tinggi, 34 siwa berkategori sedang, dan 14 siswa berkategori rendah dengan masing-masing kategori memiliki pencapaian yang berbeda-beda
Analysis of the Utilization of AI Chat GPT in the Academic Life of Prospective Mathematics Teacher Students Muhammad Nafis Mumtaz; Iqbal Ramadani
MATHEMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 7 No. 2 (2025): MATHEMA
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jm.v7i2.165

Abstract

This study aims to analyze the utilization of ChatGPT by prospective mathematics teacher students and to examine the potential risks of using ChatGPT in coursework. A case study method with a qualitative approach is employed in this research. Data is collected through a survey, which is distributed online via Google Forms to prospective mathematics teacher students. The results indicate that ChatGPT significantly enhances learning efficiency and aids in completing assignments. However, there are concerns about potential misuse and its negative impact on critical thinking skills and academic ethics. These findings highlight the need for wise usage guidelines and education regarding the ethical use of AI technology in education.
Co-Authors Alifa, Vina Noer Dian Permatasari Ersa Nurhaliza Hidayatullah, M Tamim Lestary, Ratnah Miranti Miranti Muhammad Nafis Mumtaz Muntakhibah, Nisa Nurtiyasari, Devi Ramadhani, Alifia Kania Sehatta Saragih Subanji Subanji Triliana Triliana, Triliana Vajri, Indri Yanil Wulandari, Nidya Ferry Zulkarnain '