Article Per Year (5 Year)
p-Index From 2020 - 2025
3.753
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Dasar Jurnal Sains Materi Indonesia BERKALA SAINSTEK Abdimas JURNAL FISIKA Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Saintifika UNEJ e-Proceeding Science and Technology Indonesia Jurnal Penelitian Pendidikan IPA (JPPIPA) Spektra: Jurnal Fisika dan Aplikasinya Jurnal Ilmu Fisika Indonesian Physical Review Jurnal Jaring SainTek Computational and Experimental Research in Materials and Renewable Energy (CERiMRE) Journal of Energy, Material, and Instrumentation Technology Makara Journal of Technology Newton-Maxwell Journal of Physics SAINTIFIKA InSTEM Journal of Electronics and Instrumentation
Artoto Arkundato
Jurusan Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Jember
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
Validation of OpenMC Code for Low-cycle and Low-particle Simulations in the Neutronic Calculation Mabruri, Ahmad Muzaki; Syarifah, Ratna Dewi; Aji, Indarta Kuncoro; Arkundato, Artoto; Trianti, Nuri
Jurnal Ilmu Fisika Vol 16 No 2 (2024): September 2024
Publisher : Jurusan Fisika FMIPA Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jif.16.2.107-117.2024

Abstract

Validation of Low-Cycle and Low-Particle OpenMC Simulation Codes for Neutronics Calculations has been conducted. This study validates OpenMC, an evolving open-source neutron analysis code. Validation of Low-Cycle and Low-Particle Codes is crucial as it allows for effective calculations with minimal computational resources. Determining the convergence point of cycles and minimum particles in low-cycle and low-particle calculations enables maintaining calculation accuracy, thus providing sufficiently accurate results. This study demonstrates that a minimum of 15,000 particles, 100 cycles (30 inactive, 70 active), is required for low-cycle simulations. A comparison of k-eff calculation results with the SRAC code for MSR FUJI-12 at 7 burnup points (0-27 MWd/ton) yields a maximum error of 0.7%. These results validate the effectiveness of OpenMC in achieving accurate neutronic calculations with limited computational resources
OPTIMIZING THE CARBONIZATION TEMPERATURE OF WATER HYACINTH BIOCHAR BY PROXIMATE ANALYSIS USING RESPONSE SURFACE METHODOLOGY Maulina, Wenny; Habibah, Putri Sifa; Arkundato, Artoto; Syarifah, Ratna Dewi; Sulistiyo, Yudi Aris; Sukmawati, Nissa
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.405

Abstract

Water hyacinth is a locally available biomass with the potential to be converted into biochar, serving as a renewable energy source. In this report, response surface methodology (RSM) was employed to optimize the carbonization temperature during the preparation of water hyacinth biochar. Water hyacinth was carbonized in a furnace at varied temperatures (400 °C, 500 °C, 600 °C) for 90 minutes. Characterization of the biochar derived from water hyacinth by proximate analysis was determined, including moisture content, ash content, volatile matter, fixed carbon, and calorific value. The results of the biochar before optimization indicated that moisture content and volatile matter decreased with increasing carbonization temperature, while ash content, fixed carbon, and calorific value increased. After optimization, the proximate analysis of the biochar was determined, with the optimal carbonization temperature found to be 533.54 °C. At this temperature, the optimal moisture content was 6.50%, ash content was 25.53%, volatile matter was 24.80%, and fixed carbon was 43,16%. These findings demonstrate the feasibility of using RSM to optimize the preparation conditions of water hyacinth biochar.
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
Thermal Conductivity of Liquid Lead for the Fast Nuclear Reactor Coolant, Calculated by the Green-Kubo Method Using Molecular Dynamics Simulation Arkundato, Artoto; Syarifah, Ratna Dewi; Rohman, Lutfi; Maulina, Wenny; Widiasih
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.6102

Abstract

Comprehensive information about nuclear reactor coolant materials for application in heat-transfer systems is very important. One important physical property that needs to be known is the thermal conductivity. The goal of this work is to predict the thermal conductivity value of the liquid lead, which is one of the important candidates for cooling materials for Gen-IV fast nuclear reactor designs. The thermal conductivity of liquid lead in this study was predicted using the Green-Kubo scheme and the molecular dynamics (MD) computational method to collect the simulation data. The MD simulation was done in the NVT ensemble, using the Lennard-Jones interaction potential. We observe the thermal conductivity of the liquid lead can be studied based on the diffusion physical process. The thermal conductivity of the liquid lead obtained from this research is λ = 0.0113T + 8.8539 [W/mK]. As a conclusion, this result is very suitable, compared with the available experimental data, then the Green-Kubo method can be used to calculate the thermal conductivity of liquid metal as lead.
Co-Authors Ahmad Muzaki Mabruri Amiruddin Supu Arry Y. Nurhayati Ayu Berlianti, Nindha Ayudia, Siti Aisyah Cahyono, Bowo Eko Edy Wahono Edy Wahono Elva Nurul F Endhah Purwandari Erfan Handoko Ernik Dwi S Fanta, Ryo Fauzia, Vivi Gaguk Jatisukamto Habibah, Putri Sifa Hadi Paramu Heru Baskoro Hidayat, Umar Sahiful Iklimatul Karomah Illavi Praseti Pebrian Imanullah, Muhammad Abdul Bashar Indarta Kuncoro Aji Irvan Siswanto Iwan Sugihartono Karomah, Iklimatul Lara Permata Sari, Lara Permata Lutfi Rohman Luthfi Rohman Luthfi Rohman Mabruri, Ahmad Muzaki Maulana, Bima Wahyu Maulana, Muhammad Rizqi Misto Misto Misto Misto Misto Misto Misto Misto, M. Moh. Hasan Mohammad Ali Shafii Nabil Nabhan MH Nikodemus Umbu Janga Hauwali Nur Inna Alfianinda Prasetya, Fajri Priyanto, Frendi Wahyudi Puguh Hiskiawan Ratnadewi, Anak Agung Istri Ratnadewi Ruliyanti Ruliyanti Sahiroh, Samakhatus Sa’adah, Umi Setyawan Bani, Marsi Devid Sukmawati, Nissa Sulisti, Wahyu Supriyadi Supriyadi Syah, Khalif Ardian Syarifah, Ratna Dewi Tjahjo Nugroho, Agung Tri Mulyono Trianti, Nuri Umi Sa&#039;adah Wenny Maulina Wenny Maulina, Wenny Wibawa Wibawa, Wibawa Widiasih Yanti Yulianti Yudi Aris Sulistiyo, Yudi Aris Zein Hanifah