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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

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

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.