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Abstract Topic: Computation and Other Related Field

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A Study of Microstructure and Shape Memory Properties in Cu-22%Zn-7%Al by Miscellaneous Cooling Medium during Martensite Formation
Alvian Toto Wibisono1, a) , Garias Devara1, Dian Mughni F1, , Rochman Rochiem1, Hosta Ardhyananta1

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Corresponding Author
Alvian Toto Wibisono

Institutions
1Department of Material Engineering, Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember Surabaya, Indonesia.

Abstract
This paper reports investigation results of microstructure transformation and shape memory property in Cu-22Zn-7Al (%wt) shape memory alloy in heat treatment process with variable of various quench mediums. The alloy was made by melting process of Cu ingot, yellow brass and Al ingot. Molten metal was poured and solidified in permanent mold. Then, solid Cu-22Zn- 7Al alloy was heat treated by homogenizing and stress relief annealing. Martensite of the alloy was formed by heating Cu-22Zn- 7Al in Beta phase temperature then continued by cooling in air, oil, water and brine. Each of cooling medium has different effect in cooling rate. Chemical composition, microstructure, non-equilibrium transformation temperature, hardness and shape memory properties were investigated in detail. The result shows that martensite phase increases by enhancement of cooling rate. Alloy quenched by brine not only performs the best quality of martensite but also exhibits the highest shape memory recovery.

Keywords
Shape memory alloy, Cu-22Zn-7Al, Martensite formation.

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/mKxHC7p3jwrF


Analysis of Seismicity in East Java Region Period 2003-2017 Based on Daily Data from BMKG Eartquake in Coordinates 111-114.4 East Longitude and 7.12-8.48 South Latitudes
Miah Kumala Sari 1), Daeng Achmad Suaidi 1,2)*, Nugroho Adi Pramono 1)

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
2) Geophysics Laboratory. Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.

*Corresponding author: daeng.achmad.fmipa[at]um.ac.id

Abstract
East Java is located on the junction of two major plates, i.e. Indo-Australian and Eurasian plates which is make East Java pron of earth-quake. Therefore, the study of seismicity in region is needed to reduce the impact of the earthquake. Data that used in this research was the historical data of earthquake by Meteorology, Climatology and Geophysics Agency (BMKG), Karangkates. With range coordinates between 111-114.4 BT East Longitude and 111-114.4 BT South Latitude. There are 211 earthquakes total data were sorted by the depth. And then those data interpreted using ArcGIS software. And these steps result a seismicity distribution map of earth-quake in East Java during 1st January 2003 – 31 Desember 2017. This study is using b value analysis every five year period using the maximum likelihood method. The results of analysis obtained are; in East Java from 2003 to 2017 there were 153 shallow earthquakes happened, with a minimum magnitude of 1.8 SR and a maximum magnitude of 5.6 SR. For the seismicity level in 2013-2017 which is the period of most earth-quake happened, resulting value of b 0.3185. Whereas, for local faults in East Java which were analyzed from the seismicity of maps, we found seven local faults.

Keywords
seismicity, earthquake, East Java

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/9p3KCBdMjnEG


Effect of Position and Intensity of Normal Material Defects on Physical Properties of Type II Superconductor
Nizar Rahmanda Hardiyanto, Dyah Eka Puspitasari, Hari Wisodo*

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Corresponding Author
Nizar Rahmanda Hardiyanto

Institutions
Physics Department, Faculty of Mathematics and Natural Sciences, State University of Malang
Jalan Semarang 5, Malang 65145, Indonesia
*hari.wisodo.fmipa[at]um.ac.id

Abstract
Vortex dynamics, current density, and free energy curves in type II superconductors have been studied based on the Time Dependent Ginzburg-Landau (TDGL) model. The intensity of the normal material defect and its position were varied to determine the difference in the free energy curve of the material when subjected to an external magnetic field. The curves of each energy term in the Ginzburg-Landau energy equation provide information about the dynamics of the vortex in reaching the equilibrium state of superconducting material. This study can help determine the defect arrangement for effective pinning preparation in superconducting materials.

Keywords
Superconductor; Pinning; Vortex; Ginzbug-Landau model

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/tq7kACWUrfyR


HYSITS: A MATLAB program to process Vibrating Sample Magnetometer (VSM) data (hysteresis loop)
Rinta Bi Tari Erdyanti (a), Mariyanto Mariyanto (b)

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Corresponding Author
Rinta Bi Tari Erdyanti

Institutions
Department of Geophysical Engineering, Faculty of Civil, Environmental and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Abstract
Vibrating- sample magnetometer (VSM) is a magnetic measurement method to calculate the induction magnetization by observing magnetic moment (M) which is response of applying ascending and descending magnetic field (H) to the material. Initially from zero magnetic field, ascending magnetic field was applied until Hmax. Then the applied field was decayed to zero and switched polarity till approaches -Hmax (descending). The field was then ascended again until Hmax. The observed magnetic moments were plotted versus magnetic field so that they form a kind of loop called hysteresis loop. This paper introduces an approach to process hysteresis loop by creating MATLAB program. It is conducted by subtracting the magnetic moment between descending and ascending (Δm). Then, the first derivative and second derivative of Δm is applied. The behavior of these derivative curves can be used to evaluate type and domain of magnetic mineral.

Keywords
HYSITS; hysteresis loop; magnetic; MATLAB; VSM

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/AxT4jFnLEUPW


Identification of Environments based on Magnetic Susceptibility and Geochemical Data using Multivariate Statistical Analysis
Bambang Heru Iswanto and Siti Zulaikah

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Corresponding Author
BAMBANG HERU ISWANTO

Institutions
Department of Physics, Faculty of Mathematics and Science, Universitas Negeri Jakarta, Indonesia
Department of Physics, Faculty of Mathematics and Science, Universitas Negeri Malang, Indonesia

Abstract
Magnetic susceptibility and geochemical data have been widely used in environmental studies. In general, the data are analyzed only based on the correlation between variables. In this paper, the multivariate statistical analysis method is used intensively to identify environmental conditions based on magnetic susceptibility and geochemistry. The objects of this research are the two inlet rivers of Lake Sentani, namely the Hubay River and the Walker River. Using the method we found the characteristic of geochemical elements in the inlet rivers, which distinguishes the two rivers significantly.

Keywords
magnetic susceptibility, geochemical elements, environment, statistical multivariate data analysis

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/WkUgumF6xCyK


Identification of Geothermal Manifestation in Cangar, East Java Based on Vegetation Analysis of Remote Sensing Data
Liza Yuliana Eva Ragilia 1), Daeng Achmad Suaidi 1,2)*, Nugroho Adi Pramono 1)

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
2) Geophysics Laboratory. Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.

*Corresponding author: daeng.achmad.fmipa[at]um.ac.id

Abstract
In this study identification of geothermal manifestations was based on vegetation analysis of remote sensing data. This study aims to identify geothermal manifestations based on the density of vegetation index and land surface temperature in the Cangar geothermal area, East Java through the results of satellite data processing in the form of Landsat 8 image data using ArcGIS ArcMap 10.4 software applied to analyze the vegetation index with the NDVI method and know the distribution LST in the research area. Based on the results of processing remote sensing data from Landsat 8 images. For the results of the vegetation index density (NDVI) processed from the image of band 4 and band 5, it shows that in the Cangar geothermal area it is dominated by mixed land with the classification results 0.2 < NDVI < 0.65, this explains that covered by mixed land indicates that the area is thermally active compared to areas covered by vegetation. While the results of the distribution of land surface temperature (LST) processed from thermal band 10 channels show a range of yield values 6.63 oC - 45.33 oC, with very striking anomalies in geothermal manifestations in the form of Cangar hot water and at several points in the South and East in the study area with estimated LST of 26 oC - 45,33 oC.

Keywords
geothermal, remote sensing, NDVI, LST, cangar

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/axhB8DHNkUgF


Investigation of Structural Characteristics of Corncob: Effect of Heating Treatment
Pelangi Eka Yuwita1, Kusuma Wardhani Mas-udah2, Yuanita Amalia Haryanto3, ST. Intan Ulfawanti3, Sunaryono3,*, Ahmad Taufiq3

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Corresponding Author
Kusuma Wardhani Mas-udah

Institutions
1Mechanical Engineering Department, Faculty of Science and Technology, Universitas Nahdlatul Ulama Sunan Giri, Bojonegoro 62111, Indonesia
2Faculty of Science and Technology, University of Pesantren Tinggi Darul Ulum, PP. Darul Ulum, Jombang 61481, Indonesia
3Department of Physics, Faculty of Mathematics and Natural Science, Universitas Negeri Malang, 65145, Indonesia


Corresponding author: sunaryono.taufiq.fmipa[at]um.ac.id

Abstract
In this research, we investigated the carbon phase in the corncob charcoal powder by heating treatment at a temperature of 400 °C for 5 hours. The samples were analyzed by using X-ray diffraction (XRD), energy dispersive X-ray (EDX), scanning electron microscopy (SEM), and Fourier transform infrared (FTIR). To determine the degree of crystallinity and phase of the samples, the qualitative and quantitative data analyses were also performed. The results of data analysis indicated that the heating treatment was able to increase the crystallinity of the samples. The phase formation of the samples was the carbon graphite with 2H phase having a crystal system with R-3m space group. SEM data possessed the morphology of the samples, which still has lumps starting to form dimensions. Interestingly, the elemental analysis indicated the highest carbon element with the value of 67.99%. The molecular bonds in the charcoal include C-O and C=C positioned in a certain wave number.

Keywords
Corncob powder, carbon graphite, heating treatment, structure.

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/ePYH9qVWrkn2


IRMITS: A MATLAB Program for Analyzing Isothermal Remanent Magnetization (IRM) Data
Adika Bagaskara, Christopher Salim, Muhammad Archie Antareza, Kevin Dwimanggala Tjiongnotoputera, Mariyanto Mariyanto

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Corresponding Author
Adika Bagaskara

Institutions
Department of Geophysical Engineering, Faculty of Civil, Environmental and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia

Abstract
Isothermal Remanent Magnetization (IRM) is a method used to observe the magnetization of materials by applying DC magnetic field in a constant temperature. The observed values of magnetization is used to distinguish the magnetic minerals contained in samples e.g. rocks, sediments, soils. This paper proposes IRMITS, a novel MATLAB program for analyzing the IRM data set acquired. This program uses several integrated approaches to analyze each mineral, called Linear Acquisition Plot (LAP), Gradient of Acquisition Plot (GAP), and Standardised Acquisition Plot (SAP). In order to be able to analyze the data on a broader range, we provide LAP, GAP, and SAP on semilog axes. The x-axis represents applied magnetic field on logarithmic scale, while the y-axis illustrates linear-scaled IRM value. The LAP values normalize IRM values, which is done automatically by this program. The GAP values are found through the differentiation of the normalized IRM values, and the SAP values are found by converting the normalized IRM values into z-score values and probability distribution. Then, the generated value of those functions are plotted to get the curves that could be interpreted. Plots from LAP, GAP, and SAP can complement each other in analysis process. After plotting the results and analyzing the trends of the graphs, different minerals can be distinguished. This is possible because different trends represent different mineral. For further research, the analyzed data from this paper could be used to determine the saturation point of minerals and discover different types of composing mineral. Our program can also be used as a quicklook to be validated in the future with other methods such as X-Ray Diffraction (XRD) analysis.

Keywords
IRMITS, IRM, magnetic, MATLAB

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/9nDxJTg2AC4t


Mapping of Landslide Susceptibility Areas Based on Remote Sensing Data in Poncokusumo District
Enik Eriyani Kusumawati 1), Daeng Achmad Suaidi 1,2)*, Nugroho Adi Pramono 1)

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
2) Geophysics Laboratory. Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.

*Corresponding author: daeng.achmad.fmipa[at]um.ac.id

Abstract
Poncokusumo subdistrict is one of the areas in Malang regency which is a hilly area because it is located in the west of Mount Semeru Mountain consisting mostly of productive land. The area of Poncokusumo was taken for this research because of frequent landslides. Geographic Information Systems (GIS) technology is one of the ways that can help to mapping potential areas of landslides. The parameters used in mapping the landslide area of this study are rainfall, geological conditions, soil type, slope, and land cover. Each of these parameters is performed an overlay analysis with a weighted (scoring) technique using the ArcGis 10.3 software. The scoring analysis technique is used to provide value to each of the parameters for each sub variable which is then a cumulative calculation. This cumulative calculation will get a final score to determine a landslide-prone class. Level of landslide spread is divided into 3 classes: low landslide-prone area is 1,249.986 ha (5.749%), the medium landslide-prone area is 19771.74 (90.94%) and the high landslide-prone area is 719.7894 ha (3.311%). Ngadas and Jambesari village is an area that has the highest level of insecurity of landslides with a total area of 263.1 ha and 94.37 ha.

Keywords
Overlay, Poncokusumo, GIS, Landslide

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/Q2zJteCrGD9a


Modeling of Hydrothermal Flow in a Geothermal System Based on Resistivity Structure Revealed from Magnetotelluric Data
Wahyu Srigutomo (a*), Siti R. Auliyani (a), Prihandhanu M. Pratomo (a), Anggie Susilawati (a,b)

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Corresponding Author
Wahyu Srigutomo

Institutions
a) Physics of Earth and Complex Systems, Physics Dept., Fac. of Mathematics and Natural Sciences, Institut Teknologi Bandung
*wahyu[at]fi.itb.ac.id
b) Geophysics Dept., Fac. of Mathematics and Natural Sciences, Universitas Padjadjaran

Abstract
Comprehension of hydrothermal flow in geothermal systems is very important in designing geothermal power plant development. As an alternative to qualitative approaches of inferring hydrothermal flow based on geochemistry analyses, a quantitative modeling scheme is discussed in this study. The modeling scheme was carried out by utilizing the Brinkman-s equation as a form of modified Darcy-s law. The equation compensates the effects of buoyancy force exerted on a fluid owing to temperature change known as the Boussinesq buoyancy term. The heat equilibrium equation for a convection-conduction condition was simultaneously incorporated to reconstruct the fluid flow in the associated geothermal system coupled with the temperature distribution in the subsurface. The geometrical constrains of the subsurface geothermal system can be provided from the resistivity structure obtained from the inversion of magnetotelluric (MT) data. Other physical parameters required by the modeling were determined from the results of geological and geochemical studies at the particular geothermal area. The modeling scheme was able to infer numerically the pattern hydrothermal flow pattern as well as its velocity magnitude. The modeling scheme was applied to real geothermal systems in Central Java and East Nusatenggara, Indonesia to test its applicability.

Keywords
hydrothermal flow; geothermal system; Darcy-s law; Brinkman-s equation; heat equilibrium equation; magnetotelluric (MT) data

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/zPGKNaJ6HW3r


Preliminary Investigations of Groundwater Using The GPR-Geoelectric Hybrid Methods In The Drought Area Of Mantup-Lamongan
Daeng Achmad Suaidi 1,2)*, Yoyok Adisetio Laksono 1,4), Leny Zuliyanti 1), Nandang Mufti 1,3), Siti Zulaikha 1,3)

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
2) Geophysics Laboratory. Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
3) FMIPA Central Laboratory. Faculty of Mathematics and Science. Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.
4) Computational Physics Laboratory. Physics Department, Universitas Negeri Malang. Jl. Semarang No. 5 Sumbersari, Kec. Lowokwaru, Malang 65145, Indonesia.

*Corresponding author: daeng.achmad.fmipa[at]um.ac.id

Abstract
Nyusul

Keywords
Nyusul

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/M7vP68beKRjr


Resistivity Analysis in Kasinan Geothermal Manifestations Area to Reveal The Distribution of Shallow Hot Water by Geoelectric Method
Cathlea Syafiera Damayanti 1), Daeng Achmad Suaidi 1,2)*, Samsul Hidayat 1)

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, State University of Malang. Jl. Semarang 5 Malang
2) Geophysics laboratory, Physics Department, State University of Malang. Jl. Semarang 5 Malang

*E-mail: daeng.achmad.fmipa[at]um.ac.id, WA: 085748413146

Abstract
This paper presents an analysis of the distribution of geothermal manifestations in shallow subsurface of Kasinan Hot Springs in the Kasinan Pesanggrahan Batu area. Analysis of the distribution of geothermal manifestations is based on the results of a three-track resistivity geoelectric survey. The length of each track is 120 meters in the north to northeast of the source, 100 meters to the east and 100 meters to the south of the source using geoelectric method and wenner configuration. The distribution of the Kasinan geothermal manifestations led to the northern to northeastern sources. This is evidenced by the suitability of the value of the resistivity of hot water at the source point with the value of the resistivity of hot water present on the first track. In addition, after being interpreted, the distribution is evenly distributed along the path of Kasinan hot water. Most have a resistivity value of <10 which identifies the value of the resistivity of hot water in that range.

Keywords
geoelectric, resistivity, depth, distribution, kasinan, hot springs

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/Vw8BYrZvJxNa


Restoration of Edge Degraded Geoelectric Image Using Discontinuity Segmentation Algorithm on Gray Scale Spatial Domain
Daeng Achmad Suaidi 1,2)*

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Corresponding Author
Daeng Achmad Suaidi

Institutions
1) Physics Department, Universitas Negeri Malang, Jl. Semarang 5 Malang
2) Geophysics laboratory, Physics Department, Universitas Negeri Malang, Jl. Semarang 5 Malang

*e-mail: daeng.achmad.fmipa[at]um.ac.id, WA: 085748413146

Abstract
Rest2dinv imaging of geoelectric acquisition data always produces radiometric degraded images on the edge of the anomaly. This degradation is caused by influencing the resistivity of the anomaly and medium, so that the anomalous edges are imaged with non-singular color lines. In mining exploration, the edge degraded image can cause difficulties in determining the size of mining material deposits, so that prospective mining exploration in a mining area cannot be adequately measured. In this paper the results of the development of a digital image processing system are presented to reduce the effect of degradation of the edges of res2dinv images that are inversed from res2dmod data acquisition. Reduction is done on gray level with the rgb2gray Matlab function followed by edge detection operations using the gradient operator to increase the sharpness of the line in the image. And then the segmentation process is carried out with a discontinuity approach to reinforce the appearance of identified anomalous objects.

Keywords
geoelectric image, degraded edge, restoration, segmentation, discontinuity, gray scale

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/7pnETtePMb3q


Structure Prediction of Complex Compounds of Zinc(II) Chloride and Cadmium(II) Chloride with Potassium Cyanide and N,N--Diethylthiourea Ligand
Fariati*, I Wayan Dasna, Yolanda Faradilla Fadli, Siti Hartinah Qurbayni

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Corresponding Author
Fariati Fariati

Institutions
Department of Chemistry, Faculty of Mathematics and Natural Science
Universitas Negeri Malang, Jl. Semarang 5, Malang, 65145, East Java, Indonesia

Abstract
Abstract: Study of complex compounds structures of zinc(II) chloride (A) and cadmium(II) chloride (B) with potassium cyanide and N,N--diethylthiourea (detu) have not been reported. Therefore, the synthesize of those complex compounds A and B should be conducted to study their structure prediction. In this research, complex compounds A and B were prepared by means of direct method using aquadest and methanol at 25 ºC and 1 atm. These data of characterization showed that both of A and B complexes have melting points of 203-205 ºC and 210-213 ºC, respectively. Structure prediction and free energy calculation of the A and B complexes used Semi-Empirical PM6. The free energy of both complexes are -129,605 kJ/mol and -381,0029 kJ/mol with tetrahedral coordinate around the metal ion(II), respectively. The interesting finding is that the electrical conductivity of the complexes show different characteristic: ionic for compound A but molecular for compound B. EDX analysis of A and B revealed that the atomic percentage ratio between central and donor atom (S) were 1:4 and 1:1, respectively. In conclusion, the chemical formula predictions of A was [Zn(detu)4](CN)2 and B was [Cd(detu)(CN)2].

Keywords
Key words: complexes structure of Zn(II) and Cd(II), N,N--diethylthiourea (detu), cyanide ion

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/Y9thvAGbrJmT


Synthesis and Structural Characteristics of Carbon Prepared from Corncob
Kusuma Wardhani Mas-udah1, Pelangi Eka Yuwita2, ST. Intan Ulfawanti3, Yuanita Amalia Haryanto3, Ahmad Taufiq3*, Sunaryono3

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Corresponding Author
Kusuma Wardhani Mas-udah

Institutions
1Faculty of Science and Technology, University of Pesantren Tinggi Darul Ulum, PP. Darul Ulum, Jombang 61481, Indonesia
2Mechanical Engineering Department, Faculty of Science and Technology, Universitas Nahdlatul Ulama Sunan Giri, Bojonegoro 62111, Indonesia
3Department of Physics, Faculty of Mathematics and Natural Science, Universitas Negeri Malang, 65145, Indonesia


Corresponding author: ahmad.taufiq.fmipa[at]um.ac.id

Abstract
In this study, we investigated the formation of carbon prepared from corncob using coprecipitation method. The synthesis of corncob was carried out by weighing as much as 5 grams and adding 40 mL of HCl solution by stirring process at 750 rpm at room temperature. The result of the reaction was titrated by using 20 mL of NH4OH solution. The X-ray diffraction data analysis the formation of carbon-graphite nitrate was detected with the space group of R-3m space group. The scanning electron microscopy data presented that the samples had a morphology showing the presence of large aggregate particles. In addition, the elemental mapping analysis also captured the highest carbon element with the composition of 78.83%. The molecular bonds in the charcoal included C-O, C-H and C=C were detected in several wavenumber positions.

Keywords
Synthesis, structure, coprecipitation, corncob, aggregate

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/mYMQeKGfTWJ2


THE EFFECT OF MATERIAL DEFECT VARIATIONS ON VORTEX CONFIGURATION IN A SUPERKONDUCTOR MESOSCOPIC SAMPLE
Dyah Eka Puspitasari, Nizar Rahmanda Hardiyanto, Hari Wisodo

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Corresponding Author
Dyah Eka Puspitasari

Institutions
Physics Department, Faculty of Mathematics and Natural Sciences, State University of Malang
Jalan Semarang 5, Malang 65145, Indonesia
*hari.wisodo.fmipa[at]um.ac.id

Abstract
In this work we investigate the dynamics of a square mesoscopic superconducting vortex in the presence of a magnetic field parallel to its axis. The rectangular cross section of the sample is L2 and the defex value α is engineered from the d2 region at the center of the superconductor material. L = 12ξ (0) for all simulations, α is engineered with values of 0 and 0.5, while d varies with sizes 2ξ and 4ξ. We study the vortex configuration and its effect on the free energy state. Significant differences from the free energy graph were obtained at t = 0 to t = 70, and again differed at t > 120. From the energy graph comparison, this difference in free energy values was most influenced by the free condensate energy terms.

Keywords
superconductor, defex, vortex, Ginzburg-landau

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/Z2eyCBg8GqUt


The Effect of Polarities and Preheating Temperatures to Microstructures and Hardness in Overlay Hardfacing Processes of AISI 8655 Substrate/EFe3 Filler Electrode
Rochman Rochiem1*, Alvian Toto Wibisono1* , Mavindra Ramadhani1, Alvalo Toto Wibowo2, and Moh. Miftachul Munir2

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Corresponding Author
Mavindra Ramadhani

Institutions
1 Department of Materials Engineering, Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember,

2 Study Program of Welding Engineering, Shipbuilding Institute of Polytechnic Surabaya

E-mail : rochman[at]mat-eng.its.ac.id; alviantotow[at]gmail.com

Abstract
Overlay hardfacing is one of surface engineering technique to improve wear resistance and hardness performances of AISI 8655 steel for high abrasive working condition. The purposes of this paper are to describe the effect of polarities and pre-heat temperatures to microstructures, distribution of hardness and wear resistance of hardfaced specimens. The pieces of AISI 8655 substrate were heated at 150oC, 200oC, 250oC and 300oC as variable of pre-heating parameters. Pre-heated substrates were coated by buffer layer E309. Hard layer of E Fe3 was coated above buffer layer by welding technique with Direct Current Electrode Negative (DCEN) and Direct Current Electrode Positive (DCEP) as parameters. Chemical compositions, microstructures, hardness and wear resistance were performed in this paper. The wear resistance result, DCEP has reduction of thickness 0.14 mm, 0.11 mm, 0.09 mm and 0.13 mm. Meanwhile, DCEN has reduction of thickness 0.11 mm, 0.11 mm, 0.09 mm and 0.11 mm.

Keywords
Hardfacing; Polarities; Microstructures; Wear Resistance

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/84DG79KZpBFY


THERMITS: A MATLAB program to process Thermomagnetic data
Rinta Bi Tari Erdyanti (a), Muhammad Archie Antareza (b), Kevin Dwimanggala Tjiongnotoputera (c), Mariyanto Mariyanto (d)

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Corresponding Author
Rinta Bi Tari Erdyanti

Institutions
Department of Geophysical Engineering, Faculty of Civil, Environmental and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya

Abstract
Thermomagnetic analysis is a study of how a material react to the change in temperature. The analysis is conducted by either cooling or heating the material and observing the change of magnetic moment. Through this observation, the Curie Temperature of a material can be obtained. This Curie Temperature is used to estimate the magnetic minerals contained in samples e.g. rocks, sediments, soils. This paper introduces THERMITS, a novel MATLAB program for analyzing the thermomagnetic data acquired. There are several approaches used in this program. The first approach is by plotting magnetic moment (M) against temperature (T). For some data, the Curie Temperature can directly be perceived by observing this plot alone. However, other data need to be processed further in order to obtain its Curie Temperature. The data are processed through the other approaches, which are by plotting the first derivative and the second derivative of M against T. After determining the Curie Temperature through analyzing the trends of the graphs, mineral types can be estimated. We also provide plotting the difference between M of heating and cooling (ΔM) and its first and second derivative against T that might be useful for further analysis.

Keywords
: THERMITS, Curie Temperature, thermomagnetic, magnetic, MATLAB

Topic
Computation and Other Related Field

Link: https://ifory.id/abstract/Pzcthj8WRV6a


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