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Validasi Kode OpenMC pada Reaktor Gas Berpendingin Helium Berbahan Bakar UC-PuC Karomah, Iklimatul; Syarifah, Ratna Dewi; Trianti, Nuri; Arkundato, Artoto; Rohman, Lutfi; Maulina, Wenny; Purwandari, Endhah; Hidayat, Umar Sahiful
Newton-Maxwell Journal of Physics Vol. 4 No. 1: April 2023
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v4i1.26998

Abstract

Validasi perhitungan kekritisan pada Gas Cooled Fast Reactor (GFR) menggunakan kode OpenMC dan SRAC telah dilakukan. OpenMC merupakan kode analisis neutronik yang bersifat open source dan probabilistik yang sedang dikembangkan oleh MIT hingga sekarang. Validasi kode OpenMC perlu dilakukan untuk menunjukkan hasil validitas perhitungan OpenMC dibandingkan dengan kode lainnya. OpenMC yang bersifat probabilistik, mensimulasikan random sampling partikel yang berjumlah besar. Hal terseut bertujuan untuk menunjukkan akurasi perhitungan OpenMC dengan menggunakan partikel yang berjumlah kecil. Validasi dilakukan dengan melihat selisih perhitungan nilai  dari kode OpenMC dan SRAC. Nilai konvergensi yang dihasilkan dari kode OpenMC dan SRAC dikatakan tervalidasi dengan memiliki nilai error <1%. Pada penelitian ini menggunakan 50.000 partikel dengan total pengulangan 100 batch aktif dan 30 batch tidak aktif yang disimulasikan. Hasil perbandingan menunjukkan bahwa OpenMC memiliki error maksimal 0,06% terhadap hasil perhitungan kode SRAC
Project-Based Learning in Smart Solar Panel System for Analysis 21st Century Skills Prastyaningrum, Ihtiari; Ardi, Pramudya; Purwandari, Endhah; Hidayat, Wahyu
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.7639

Abstract

Collaboration and communication are two types of 21st-century skills that are very important for students to have. By having good communication and collaboration skills, students can build a wider network in the future, which is useful to support their lives. Students' communication and collaboration skills can be known through various activities, one of which is the involvement of students in project-based learning. The purpose of this study is to determine the effect of a modified project-based learning model on students' collaboration and communication skills. The project-based learning that we did focused on the project of making a smart solar system. This research is a type of development research, with a mixed method research method. We developed a modified project-based learning model. The data collection process was carried out by conducting in-depth interviews, and in-depth observations, supported by literature studies. In addition, we also used a measurement questionnaire to provide a numerical assessment of students' collaboration and communication skills. Based on the research conducted, we found that the modified project-based learning model can be used to determine the extent of students' communication and collaboration skills. Where the measurement results show good criteria in some indicators and sufficient on several other indicators.
Effect of Hair Particle Filler on the Characteristics of Green Composite Based on Bacterial Cellulose Jamilah, Umi Lailatul; Purwandari, Endhah; Sujito, Sujito
Journal of Fibers and Polymer Composites Vol. 5 No. 1 (2026): Journal of Fibers and Polymer Composites
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jfpc.v5i1.563

Abstract

The growing demand for sustainable materials and effective waste management has encouraged the development of environmentally friendly composites. Green composites are a promising alternative to conventional materials for environmental preservation. In this study, bacterial cellulose derived from nata de coco was used as a matrix, while haircut waste particles served as a filler. Composites were fabricated via compression molding at 170 °C with filler contents of 0, 15, 25, 35, and 45 wt.%. The synthesized materials were characterized through tensile testing, scanning electron microscopy (SEM), and Fourier transform infrared (FTIR) spectroscopy. Increasing hair-particle content increased the elastic modulus from 44.11 ± 3.02 MPa (A1) to 130.46 ± 4.94 MPa (A2), indicating enhanced stiffness of the composite; however, further increases in filler content slightly reduced the modulus due to possible void formation and weaker interfacial adhesion. In contrast, the tensile strength decreased progressively from 11.54 ± 0.56 MPa (A1) to 5.16 ± 0.52 MPa (A5) with increasing filler content. SEM observations revealed the formation of voids and weaker matrix–filler interactions at higher filler contents, which contributed to the reduction in tensile strength. FTIR spectra showed the presence of O–H, C–H, and C=O functional groups, suggesting possible interactions between bacterial cellulose and hair particles. Overall, a filler content of 15 wt.% provides the best balance between stiffness and structural integrity, demonstrating the potential of hair waste as a sustainable reinforcement in bacterial cellulose-based green composites.