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All Journal Jurnal Penelitian Sains Journal of Technomaterial Physics Schrödinger: Journal of Physics Education
Naufal, Muhammad Risyad
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Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Review: Potensi Hidrogel Selulosa sebagai Media Enkapsulasi Senyawa Bioaktif Rodhiyah, Marathur; Naufal, Muhammad Risyad; Cahyati, Nilam; Nur'aini, Siti; Arandi, Tyas Al
Jurnal Penelitian Sains Vol 27, No 3 (2025)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v27i3.1289

Abstract

Hidrogel merupakan polimer struktur tiga dimensi yang memiliki kemampuan menyerap cairan. Hidrogel dapat dibuat menggunakan polimer sintetis seperti selulosa. Penggunaan selulosa tersebut didasarkan pada kelimpahan kandungannya pada berbagai tanaman yang ada di Indonesia. Proses pembuatan hidrogel dilakukan dengan menggunakan ikat silang fisika. Hidrogel yang dihasilkan menunjukkan karakteristik yang baik, meliputi nilai derajat pengembangan, kekuatan mekanik, dan biokompatibilitas. Namun, kekurangannya adalah hidrogel belum bisa dimanfaatkan secara optimal dalam bidang biomedis karena kurangnya aktivitas antibakteri yang memadai. Salah satu aplikasi biomedis yang menjadi perhatian adalah aplikasi penutup luka. Hal tersebut berkaitan dengan banyaknya kasus infeksi luka yang terjadi. Sehingga jika ingin digunakan sebagai aplikasi penutup luka, maka pada matrik hidrogel perlu ditambahkan senyawa bioaktif dari bahan alam. Ekstrak bahan alam yang digunakan harus memiliki kandungan senyawa bioaktif yang memiliki aktivitas antibakteri, antioksidan, dan anti inflamasi. Paper review ini menganalisis beberapa kandidat sumber senyawa bioaktif. Ekstrak biji mangga dapat dijadikan sebagai kandidat karena memiliki sifat-sifat tersebut. Selain itu pemilihan ekstrak biji mangga juga didasarkan pada keberlimpahannya di Indonesia. Sehingga dapat membantu mengatasi permasalahan pengolahan limbah menjadi material baru yang lebih bermanfaat.
Measuring CD Pit Spacing with a Laser: Applying Fundamental Physics Principles and the Diffraction Grating Method Naufal, Muhammad Risyad; Rodhiyah, Marathur
Schrödinger: Journal of Physics Education Vol. 6 No. 4 (2025): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/sjpe.v6i4.2281

Abstract

Purpose of the study: This study aimed to measure the distance between data pits on a Compact Disc (CD) by utilizing its reflective surface as a diffraction grating. When a laser beam strikes the CD, the alternating pits and lands create a diffraction pattern of bright and dark fringes. The pit spacing can then be determined from this pattern and compared with literature values. Methodology: A red laser was used as the light source, and the resulting diffraction pattern was analyzed using simple Python code based on the diffraction principle. This approach provides an efficient and low-cost method to perform quantitative analysis using readily available tools. Main Findings: The measured distance between pits on the Compact Disc was 1.607 ± 0.017 µm, with an accuracy error of 0.004%. The results closely matched reported literature values, though slight deviations may have arisen from parallax errors, the difficulty of identifying the laser’s exact reflection point, or ruler precision. From these results, it can be seen that a simple basic physics experiment can easily performed by students because the equipment and procedures are simple yet still produce good results. Novelty/Originality of this study: This work demonstrates that meaningful physics experiments can be conducted with everyday materials and simple instruments, offering a time- and cost-efficient way to explore fundamental concepts such as diffraction. The study highlights the potential of using familiar objects like compact discs to make physics learning more engaging and accessible for students and young researchers.
Preliminary Analysis of Machine Learning Performance and the Effect of Outliers in Daily Rainfall Classification in Jambi City Naufal, Muhammad Risyad; Erni; Marathur Rodhiyah
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.24702

Abstract

Rainfall is a crucial meteorological parameter that significantly affects various sectors, particularly in tropical regions such as Jambi City. However, daily rainfall data often contain outliers and imbalanced class distributions, which can degrade the performance of machine learning-based classification models. This study aims to conduct a preliminary analysis of the performance of several machine learning algorithms for daily rainfall classification in Jambi City by examining the effects of outlier removal. The algorithms evaluated include Support Vector Machine (RBF), K-Nearest Neighbor, Naive Bayes, Decision Tree, and Random Forest. Model performance was assessed using accuracy and macro F1-score metrics. The rainfall classes used in this study consist of four categories: no rain, light rain, moderate rain, and heavy rain. The results indicate that outlier removal improves the accuracy of all evaluated algorithms, with the most substantial improvement observed in the Decision Tree model with accuracy improved from 45.71% to 57.36% and macro F1-score from 28.99% to 38.78%. Overall, the implementation of outlier removal yields more balanced and representative rainfall classification results, potentially serving as a basis for future quantitative rainfall regression studies.
Co-Authors Arandi, Tyas Al Cahyati, Nilam Erni Marathur Rodhiyah Nur'Aini, Siti Rodhiyah, Marathur