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All Journal JURNAL PENDIDIKAN TAMBUSAI Journal on Education Majalah Kesehatan Indonesia Journal of Computer Science Advancements
Nur Fajrin Maulana Yusuf
Universitas Islam Makassar
Humanities Computer Science & IT Education Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences

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Pengembangan LKPD Berbasis Pendekatan Saintifik dengan Bantuan Aplikasi Geogebra untuk Siswa Kelas VIII SMP Baso Intang Sappaile; Ellyas Palalas; Ova Huzaefah; Nur Fajrin Maulana Yusuf; MS Viktor Purhanudin; Joni Wilson Sitopu
Jurnal Pendidikan Tambusai Vol. 7 No. 2 (2023): Agustus 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Peserta didik dituntun untuk memiliki kompetensi berpikir dan berkomunikasi sehingga mampu bersaing dalam dunia kerja yang kompetitif. baik tuntunan kurikulum dan dapat merancang serta mengimplementasikannya dalam pembelajaran Namun kenyataannya berdasarkan observasi dilapangan, hasil belajar peserta didik masih ada yang belum mencapai Kriteria Kentuntasan Minimum (KKM). Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian dan pengembangan (Reseacrh and Development). Pada penelitian ini produk yang dihasilkan adalah LKPD berbasis model pembelajaran pendekatan saintifik dan bantuan software geogebra. Penelitian ini mengacu pada penelitian pengembangan yang di kembangkan oleh Branch yaitu model ADDIE, yang terdiri atas lima langkah, yaitu analisis (analysis), perancangan (design), pengembangan (development), implementasi (implementation), dan evaluasi (evaluation). Berdasarkan penilaian ahli materi LKPD yang dikembangkan layak untuk digunakan. Kelayakan LKPD berbasis pendekatan saintifik dengan bantuan software geogebra berdasarkan penilaian ahli media mendapatkan persentase 90 %, sedangkan ahli materi 92,5%. Respon peserta didik terhadap LKPD yang dikembangkan mendapatkan persentase 89,16%.
Analisis Keberhasilan Implementasi Model Pembelajaran Discovery Learning dalam Pembelajaran Matematika Tingkat Perguruan Tinggi Nur Fajrin Maulana Yusuf; Al Ikhlas; Unan Yusmaniar Oktiawati; Singgih Prastawa; Roni Chandra; Joni Wilson Sitopu
Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i1.6518

Abstract

This research aims to analyse the successful implementation of the discovery learning model in mathematics learning at the tertiary level. Discovery learning is one of the innovative learning models that encourages students to be actively involved in the learning process by discovering mathematical concepts by themselves. actively in the learning process by discovering mathematical concepts independently. independently. The research method used is a case study on a mathematics study programme in a university. study programme in a university. Data were collected through classroom observation, interviews with classroom observation, interviews with lecturers and students, and document analysis. The results The results showed that the implementation of discovery learning in mathematics learning in higher education is generally successful in improving students' conceptual understanding, critical thinking skills, and motivation to learn. learning. However, there are some challenges such as the lack of skills students' skills in independent learning, limited time allocation for learning, and lecturers' readiness in designing and managing discovery learning, and lecturers' readiness in designing and managing discovery learning. Research This research provides practical implications for lecturers and higher education institutions in developing and implementing discovery learning in developing and implementing an effective discovery learning model in mathematics courses. learning model in mathematics courses. Recommendations for future research is to explore student mentoring strategies and professional development of lecturers in the implementation of innovative learning models.
Synergistic Antioxidant Activity of Roselle (Hibiscus sabdariffa L.) and Basil (Ocimum sanctum L.) Extract Syrup in Rats Exposed to Oxidative Stress from Used Cooking Oil Iqbal, Muhammad; Mustaina, Mustaina; Yusuf, Nur Fajrin Maulana
Majalah Kesehatan Indonesia Vol. 6 No. 3: 2025
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/makein.2025286

Abstract

This study aimed to evaluate the antioxidant effect of a syrup combining Hibiscus sabdariffa L. (roselle) and Ocimum sanctum L. (basil) extracts in male rats exposed to oxidative stress induced by used cooking oil (UCO). A randomized controlled design was applied using six treatment groups, including single and combined extract syrups. Plasma malondialdehyde (MDA) levels, an indicator of lipid peroxidation, were measured before induction, after UCO exposure, and following treatment. Results showed a significant rise in MDA levels after UCO induction, confirming oxidative stress. Administration of roselle–basil syrup markedly reduced plasma MDA compared with the induced control (p < 0.05). The optimal formulation achieved up to a 96–97% reduction in MDA levels, indicating strong antioxidant efficacy. This effect is attributed to the synergistic action of anthocyanins from roselle and eugenol and rosmarinic acid from basil, which act as radical scavengers and metal chelators. These findings validate the synergistic potential of the roselle–basil combination in mitigating oxidative stress and lipid peroxidation. The study highlights its promise as a natural, safe, and locally sourced antioxidant formulation, offering a foundation for developing functional beverages or nutraceutical products aimed at preventing oxidative damage from dietary lipid oxidation.
Optimization of Grid Computing for Big Data Processing in Biomedical Research Devi Rahmah Sope; Wolnough Cale; M. Anwar Aini; Nur Fajrin Maulana Yusuf; Masli Nurcahya Zoraida
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1619

Abstract

The rapid growth of biomedical research has generated massive volumes of data, creating significant computational challenges. Traditional high-performance computing systems struggle to efficiently process, analyze, and manage such large-scale datasets. Grid computing, with its distributed architecture, offers a promising solution by enabling scalable and cost-effective data processing. This study explores the optimization of grid computing frameworks for big data processing in biomedical research, focusing on enhancing computational efficiency, scalability, and fault tolerance. The research aimed to evaluate the performance of optimized grid computing systems in processing diverse biomedical datasets, including genomic, proteomic, and imaging data. A combination of experimental and comparative approaches was employed, integrating grid computing frameworks such as Apache Hadoop and Globus Toolkit with biomedical data pipelines. Key metrics, including processing time, resource utilization, and error rates, were analyzed to assess the system’s performance. The findings demonstrated that optimized grid computing systems reduced processing time by an average of 35% compared to traditional methods while maintaining high accuracy. Scalability tests confirmed the framework’s ability to handle datasets up to 15 times larger without significant performance degradation. Fault tolerance improved through adaptive resource allocation, minimizing workflow interruptions. The study concludes that optimized grid computing is a transformative approach for big data processing in biomedical research. Its ability to enhance computational efficiency and scalability positions it as a crucial tool for addressing the growing data demands of modern biomedical science.
Co-Authors Al Ikhlas Baso Intang Sappaile Baso Intang Sappaile, Baso Intang Devi Rahmah Sope Ediaman Sitepu Ellyas Palalas Joni Wilson Sitopu M. Anwar Aini Mardiati Mardiati Masli Nurcahya Zoraida MS Viktor Purhanudin Muhammad Iqbal Mustaina, Mustaina Ova Huzaefah Roni Chandra Singgih Prastawa Unan Yusmaniar Oktiawati Wolnough Cale Zoraida, Masli Nur cahya