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Density of Liquid Lead as Function of Temperature and Pressure Based on the Molecular Dynamics Method Imanullah, Muhammad Abdul Bashar; Arkundato, Artoto; Purwandari, Endhah
Computational And Experimental Research In Materials And Renewable Energy Vol 1 No 1 (2018): November
Publisher : Physics Department, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/cerimre.v1i1.19541

Abstract

Simulation research has been carried out to obtain the formula for mass density of liquid lead as a function of temperature and pressure. The simulation method used is the molecular dynamics method. The potential energy used in the simulation is the Morse potential. From the simulation, it is found that the relationship between the mass density of liquid lead and temperature and pressure can be expressed in the equation pPb = 11233 - 0,9217 x T for pressure 1 – 5 atm and pPb = 11233 x 0,9213 x T for pressure 7 atm in units kg/m.
Electric Power Analysis and System Optimization of Micro-Hydro Power Plants at the Sentool Plantation, Jember Irvan Siswanto; Artoto Arkundato; Lutfi Rohman; Bowo Eko Cahyono
Jurnal Inovasi Sains dan Teknologi untuk Masyarakat Vol. 1 No. 1 (2023): Mei
Publisher : Faculty of Mathematics and Natural Sciences, University of Jember. Jl. Kalimantan No.37, Krajan Timur, Jemberlor, Kec. Sumbersari, Jember Regency, East Java 68121

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/instem.v1i1.360

Abstract

Sentool Plantation is a plantation area, agro-industrial and agro-tourism are located in Suci Village, Panti District, Jember Regency. This area is at the foot of Mount Argopuro with abundant water sources. In this area there is a river flow that can be utilized as a micro-hydro power plant (PLTMH). PLTMH is a relatively easy power plant to make and apply in rural areas or villages. PLTMH was chosen as an alternative energy source with the principle of developing renewable energy Therefore, in this community service activity want to effort to analyze potency of electric power generation and optimization of the MHP System at the Sentool Plantation which is useful as a consideration PLTMH development to meet the electricity needs of the local community and electricity needs for the development of agro-tourism. Power potential analysis process and optimization of the PLTMH system is carried out with two stages of data analysis, namely the calculation of the potential power theoretical and simulation using HOMER Energy software. HOMER Energy is used for profit simulation. The greatest potency generated power is 53.12 kWh with a discharge of 0.398 m3/s and the smallest is 18.05 kWh with a discharge of 0.135 m3/s. Simulations using HOMER Energy software produce system configurations PLTMH with an estimated capital cost of IDR 48,600,000, operational costs and maintenance 42,900,000 per year, NPC of IDR -2,557,215,000, LCoE of IDR-573.63. PLTMH has a capacity of 37.1 kW with annual production of 290,573 kW, get a profit of IDR 212,747,987.50 from the sale of energy. The results of the calculation of the water discharge, the height of the water fall and the generated power are quite high, the water flow in the Sentool Plantation is technically feasible to build a micro-hydro power plant (PLTMH).
Improving the Economy of the Home Furniture Industry in Sugerkidul Village - Jember through Appropriate Technology Misto; Endhah Purwandari; Artoto Arkundato; Wenny Maulina; Arry Y. Nurhayati
Jurnal Inovasi Sains dan Teknologi untuk Masyarakat Vol. 1 No. 1 (2023): Mei
Publisher : Faculty of Mathematics and Natural Sciences, University of Jember. Jl. Kalimantan No.37, Krajan Timur, Jemberlor, Kec. Sumbersari, Jember Regency, East Java 68121

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/instem.v1i1.361

Abstract

Furniture (chairs, beds, sideboards and so on) are items needed by every household that potential to be cultivated as a livelihood. Some of the basic materials for making furniture products are available locally (village) and some come from the city. Techniques for making furniture products such as how to make wooden frames, cut furniture cloth or leather, sew furniture fabrics, and the process of assembling and combining them into a furniture product must be owned by furniture workers, in order to open a furniture business. In addition to the technical skills that must be possessed, the required equipment such as tools, sewing machines and so on must also be owned for this furniture business to be successful. Some of the difficulties of Jelbuk furniture entrepreneurs are that they do not have enough skills to sew and do not have a sewing machine. If there is sewing work, it is always given to another party whose existence is 20 km from Jelbuk. This is what makes Jelbuk entrepreneurs less economically empowered. Therefore, the purpose of carrying out this activity is to provide guidance on sewing techniques and procurement of sewing machines as an alternative solution for these furniture entrepreneurs. This activity was carried out in several stages, namely 1) procuring sewing machines that were tailored to the needs of making a furniture product, 2) providing guidance on sewing techniques, and 3) training on techniques for making fashion furniture products according to consumer tastes. Guidance on sewing techniques is given starting from getting to know the sewing machine and its characteristics as well as sewing guidance to make a simple product to the details. The results of the community service activities are enough to help improve the ability of sewing techniques so that all pron products can be done at their own place without having to be given to other parties, so that the completion is faster and more cost efficient. The guidance process is still given for 3 months until it is completely independent. The ability of furniture entrepreneurs increases, the settlement process is faster, the number of consumers increases and will ultimately increase the income of furniture entrepreneurs in Suger Kidul Village, Kec. Jelbuk, Kab. Jember.
Molecular Dynamics Study for Inhibition of Iron Corrosion in High-Temperature Liquid PbBi with Nobel Gas Inhibitors Sa’adah, Umi; Arkundato, Artoto; Rohman, Lutfi
Jurnal ILMU DASAR Vol 17 No 2 (2016)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1057.906 KB) | DOI: 10.19184/jid.v17i2.2690

Abstract

Molecular dynamics is a popular method to observe the movement of interacting molecules. In this study molecular dynamics method was used to observe the phenomenon of iron corrosion and analyze effect of noble gases as a corrosion inhibitor for iron in liquid metal PbBi. Physical quantities are evaluated from the results of this study including: Mean Square Displacement (MSD), the diffusion coefficient, and for the crystal structure is visualized using Ovito program. The ron is placed in the middle high temperature liquid PbBi, the noble gases is injected into the liquid metal. Based on the three kinds of the noble gases (helium, neon, and argon) thhat injected into the molten metal PbBi, it obtained that Argon is the most effective in inhibiting the corrosion of iron. Argon is able to reduce the corrosion rate of 80.29% iron for temperature of 1023K. One reason to use the noble gas because these gases are difficult to react with other elements. Keywords: Molecular Dynamics, Corrosion in Liquid metals, Nobel Gases, Inhibitors
Effects of Carbonization Temperature from Activated Carbon of Water Hyacinth on the Flux and Its Ability on Iron Removal Maulina, Wenny; Priyanto, Frendi Wahyudi; Arkundato, Artoto
Jurnal ILMU DASAR Vol 24 No 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v24i1.30710

Abstract

The synthesis of activated carbon derived from water hyacinth has been successfully carried out as an iron adsorbent in a laboratory-scale water filter design system. In this article, activated carbon derived from water hyacinth is made through a carbonization process at 400°C and 500°C with NaOH as an activating agent. This activated carbon derived from water hyacinth acts as a filter media for purifying well water by assessing the flux, pH and iron removal efficiency before and after filtration. The results showed that the use of activated carbon derived from water hyacinth with a carbonization temperature of 500°C resulted in a water flux value greater than the carbonization temperature of 400°C. The pH value showed no difference between the use of activated carbon derived from water hyacinth (at a carbonization temperature 400°C and 500°C) before and after the filtration process, which was 7.5. Meanwhile, the effectiveness of activated carbon derived from water hyacinth at a carbonization temperature of 500°C as a filtration medium is more optimal in reducing iron levels compared to the use of activated carbon at a carbonization temperature of 400°C with percentage efficiency up to 98.09%.
Design and Construction of Electrical Energy Source Panel Based on Thermoelectric Generators on Mild Steel Galvalume Maulana, Bima Wahyu; Misto, M.; Arkundato, Artoto; Mulyono, Tri
Jurnal ILMU DASAR Vol 24 No 2 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v24i2.26255

Abstract

A thermoelectric generator (TEG) is a device that converts heat energy into electrical energy. The working principle of this device is based on Seebeck's law, namely this device will produce electrical energy if the cold side and hot side of this device have a temperature difference value of . This device can be used for generator panels whose heat source comes from the sun. The cold side of the TEG is conditioned by utilizing water fluid which is passed over the heatsink. The temperature difference between the hot and cold sides of the TEG generates an electric voltage through the Seebeck effect. The parameters observed in the research on electricity generation using this TEG are voltage, current, electric power, and the temperature difference between the hot and cold sides. The resulting parameter values are as follows; average voltage (0.5495 volts), average electric current strength of 0.04 A, average electric power (0.022 watts). mean temperature difference (16.006 oC). The largest average Seebeck coefficient is 0.0413 V/oC.
Recrystallization of Iron Materials Under The Influence of High-Temperature Heat Treatment: A Molecular Dynamics Study Janga Hauwali, Nikodemus Umbu; Setyawan Bani, Marsi Devid; Supu, Amiruddin; Arkundato, Artoto
BERKALA SAINSTEK Vol 12 No 1 (2024)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v12i1.43756

Abstract

Simulations have been carried out to study the recrystallization of iron materials after heat treatment. The heat treatment carried out consists of heating the iron from room tempera-ture to critical temperature with different heating temperatures and cooling to room tem-perature with different cooling times. This study was carried out to obtain information on the occurrence of material recrystallization after the heat treatment process was carried out. This simulation approach was carried out using molecular dynamics methods and utilizing LAMMPS software. The heat treatment process begins by heating the iron from room temperature (300 K) until it reaches a critical temperature, even past the critical temperature value. Then a cooling process is carried out to observe the material recrystallization process. Through these two stages of heat treatment, analysis is carried out to observe the material structure at the end of the simulation. Based on the simulations that have been carried out, the results show that the ma-terial’s recrystallization is more influenced by the cooling time than the initial cooling tem-perature. More than 60% of the BCC structures formed at the end of the simulation for all initial cooling temperatures, but for very short cooling times 16% of the BCC.
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
Validasi Kode OpenMC pada Reaktor Gas Berpendingin Helium Berbahan Bakar UC-PuC Iklimatul Karomah; Ratna Dewi Syarifah; Nuri Trianti; Artoto Arkundato; Lutfi Rohman; Wenny Maulina; Endhah Purwandari; Umar Sahiful Hidayat
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
Hybrid DFT-ML-MD Approach for Derivation of Lennard-Jones Interatomic Potential Parameters of Al Arkundato, Artoto; Widiasih; Ratnadewi, Anak Agung Istri Ratnadewi; Syah, Khalif Ardian; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 2 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i2.306

Abstract

Atomistic simulation based on computational physics of methods is used to develop accurate interatomic potentials based on DFT (density functional theory) data. The accuracy of predicting the physical properties of a material is highly dependent on the quality of the interatomic potential used. The purpose of this study is to determine the Lennard-Jones potential parameters of Al metal (epsilon and sigma) from fitting the DFT simulation output data. The use of a “robust” fitting method to reduce the influence of outliers on the potential results is very important and therefore a machine learning method is used to help find the right potential parameters. The method used is a hybrid method using DFT to generate training data, using ML (machine learning) to fit DFT data to the Lennard-Jones (LJ) potential model, and using the MD (molecular dynamics) method to validate the LJ potential parameters. Python-based programming is applied to facilitate how the three methods can be connected. The results of this study are that Al metal has an epsilon value = 0.5000 eV and sigma Al = 3.2072 Å, with a regression coefficient R2 = 0.9441 so that it can be concluded that this study can be said to be quite good and the hybrid method can be further developed to obtain the LJ potential parameter values of various other materials, especially metals.