bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modified structural properties in Nickel substituted Cobalt Ferrite nanoparticles
Authors: Dasi Y H K , Arilasita R , Riyatun  , Utari  , Purnama B 
Published: July 2021

Abstract
Modified structural properties of nickel content in NixCo1-xFe2O4 with x = 0,0.2 and x = 0.4 were studied. The co-precipitation method was performed for the whole sample. After annealing of 600°C for 4 hours, the nanoparticles samples evaluated their structural properties by using Fourier Transform Infra-Red (FTIR) and X-Ray Diffraction (XRD). The XRD pattern confirms that the whole samples have the crystalline structure of the face-centered cubic (fcc) inverse spinel. Furthermore, the lattice and crystallite size parameters change with the enhancement of the Ni-concentration. The FTIR spectrum showed two prominent absorption bands i.e. at around k of 400 cm−1 and 600 cm−1, where metals at tetrahedral and octahedral sites reflect intrinsic vibrations, respectively. Finally, the decrease of saturated magnetization M
S from 77.3 emu/g to 33.9 emu/g replacement of Co2+ cation with Ni2+.
Simulation of Hydrogenated Amorphous Silicon-based Solar Cell: Investigation of J-V Characteristic in Optimum Thickness
Authors: Purwandari Endhah , Mutma’inah Siti , Maulina Wenny , Arkundato Artoto , Rohman Lutfi , Syarifah Ratna Dewi 
Published: July 2021

Abstract
One of the factors that influence the current density-voltage (J-V) characteristics of solar cells is the thickness of the constituent material’s layers. Thus, when the solar cell is constructed using p/i/n junctions type, each layer thickness will contribute to the resulting electrical characteristics. In this research, a simulation of solar cell’s electric current density calculation based on amorphous hydrogenated silicon has been carried out. The simulation is conducted to determine the numerical solution of the two-dimensional semiconductor equation, which is the distribution of the number of electron charge carriers and holes in the simulated solar cell device. It was started by determining the optimum thickness producing the best performance from each layer. Material performance indicators are seen based on the Jsc and Voc values. The p layer thickness in the p/i/n junction was simulated with the variation (70-220)Å/5500Å/300Å. The active layer was manufactured with variations of 150Å/(4500-7500)Å/300Å. Finally, we have also simulated the J-V characteristic of a solar cell by thickness variation for the n layer in the p/i/n junction is 150Å/5500Å/(100-350)Å. The results obtained from each simulation process are then re-simulated in each layer’s optimum thickness combination. Through a series of simulated processes of each layer, the best results were obtained when solar cells based on hydrogenated amorphous silicon were made at a thickness of 190Å/7500Å/150Å, with Jsc and Voc of 5.33 A/m and 0.65 V, respectively.
The Analysis of Room Acoustic Parameters of Karaoke Rooms in Surabaya
Authors: Indrawati Susilo , Arinie Vina Dwi , Nuryaqin Anis , Prajitno Gontjang , Suyatno  , Yuwana Lila 
Published: July 2021

Abstract
This research is performed to evaluate the acoustic parameter and noise of several karaoke rooms in Surabaya. The type of rooms can be classified into small rooms and large rooms. All the measurements were conducted at 12:00 to 16:00 GMT+7:00. Based on the measurement results, noise criteria (NC) values range between 45 and 50. These values are quite high if compared to standard NC value, i.e., 25. This statement is in accordance with the low values of noise reduction (NR) of evaluated rooms: walls with glass accessories (12 – 16.5 dBA); door gap (8 – 13.9 dBA); wall (10 – 18 dBA); and door hinge (6.9 – 9 dBA) in the frequency of 1000 Hz. Therefore, the low values of NR lead to NC value exceeds the recommended value. According to the observation and the analysis, we obtain there are some rooms using special doors that are very well to absorb noise. However, those doors still have a drawback because they are equipped with glass which has a low value of NR. The addition of glass to the doors reduces NR value. Moreover, the ranges of reverberation time of small rooms and large rooms are 0.3 – 0.4 s and 0.6 – 0.7 s, respectively. This difference range is caused by the volume of rooms. In addition, the speakers of all rooms are the same, i.e., woofer speakers. It could be understood from the sound spectrum that has a range of 100 – 500 Hz. Lastly, all the analyzed rooms have a high value of noise. The measurement results 94 d
B
A of L

eq
and 104.3 d
B
A of L

max
. Regarding the health regulation, the sound that has those intensities is harmful to the human hearing.
Optimization of CO and CO2 Gas Reduction System Based on Electrostatic Precipitator (ESP)
Authors: Anggoro Diky , Rifki Hidayat M , Putra Ryan Permana , Wiranata Rozaq A , Fatimah Iim 
Published: July 2021

Abstract
Various attempts have been made to reduce pollutants from being released into the environment in large numbers, one of the most recent research using an electrostatic precipitator (ESP). By utilizing ionization in the Electrostatic Precipitator (ESP), pollutants can be reduced to a minimum amount at a certain voltage and air flow velocity, and for this research, reduction measurements have been carried out. Measurement of reduction by flowing the pollutant smoke sample that is accommodated in the inlet tube to the Electrostatic Precipitator (ESP) and the smoke sample that comes out of the Electrostatic Precipitator (ESP) will be accommodated in the outlet container. The levels of CO and CO2 in the two tubes before and after being flowed were compared to get a reduction value So that the highest measurement is obtained at the highest CO reduction of 80.72% reduction when the voltage is 25 kV, and the gas discharge is 2 L/minute. Meanwhile, the highest CO2 reduction obtained in the type of ESP plate was parallel with reduction of 79.09% when the voltage was 25 kV, and the gas discharge was 2 L/minute. The ability of ESP reduction is directly proportional to the mains voltage. The ability of ESP reduction is inversely proportional to gas discharge.
Detection of temperature change using optical fiber splitter 1×2 by stripping the cladding at the end of the optical fiber
Authors: Sudarsono  , Salsabila Nisrina Kamilia , Anggoro Diky , Yudoyono Gatut 
Published: July 2021

Abstract
Measurement of temperature changes is very important in the fields of physics, chemistry, biology, and industrial applications. The development of temperature sensors also continues to be developed both on an electric and optical basis. In this research, the detection of temperature changes based on optics is successfully detected using optical fiber splitter 1 × 2 by utilizing a plane mirror as a reflector and by stripping the cladding at the end optical fiber. Measurement of the power transmission of reflection to changes in temperature using an optical spectrum analyzer (OSA) at wavelength 1550 nm. This research showed that a linear relationship between transmission power and temperature increase from 40°C to 200°C on the sensor probe with a stripping length of 35 mm.
S-wave velocity (Vs) model uncertainty derived from multiple equations of Vs and number of blows (N) at Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
Authors: Saifuddin  , Sungkono  , Widodo Amien 
Published: July 2021

Abstract
To reduce hazard risk in earthquake-prone areas, it is crucial to conduct ground motion prediction for a future earthquake. It is well understood that a shear wave velocity (Vs) profile of soil at site interest is significant for ground motion estimation. In this study, we examine uncertainty in a Vs derived from the from Standard Penetration Test (SPT)-N value at a borehole site of Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia. Here, we used various empirical Vs and N equations from different authors to determine variations in the Vs profile. We found that the estimated S-wave velocity profile errors are about 20% at depths of 0 – 30 m. These uncertainties are helpful for the determination of variability of ground motion prediction at ITS.
Accretionary wedge and oceanic crust thickness effect on surface deformation: Study case the Mentawai segment
Authors: Kuncoro Alvina Kusumadewi , Srigutomo Wahyu , Fauzi Umar , Aoudia Abdelkrim , Hananto Nugroho 
Published: July 2021

AbstractSouthern Sumatra forearc is classified as a compressional accretionary type. The existence of the accretionary wedge has a significant role in sediment deformation. This sediment deformation may contribute to generating higher tsunami generation. A two-dimensional crustal deformation modeling was performed to analyze the influence of the accretionary wedge. Furthermore, oceanic crust thickness variations are also simulated in this modeling as the incoming plate’s role in surface deformation is poorly understood. The crustal deformation modeling consists of two types of earthquake period: interseismic period and coseismic period. Various geometry features were applied for each earthquake period. The crustal deformation modeling itself is based on the finite element method. The result shows that there are different effects on the geometrical model being used. The pattern and amount of surface deformation also depend on at which the fault is activated. Extended geometry models such as three-dimensional modeling will be required for further study.
Mapping of weathered layer thickness and Seismic Vulnerability in Tegal using HVSR method
Authors: Tanjung NAF , Permatasari I , Yuniarto AHP 
Published: July 2021

Abstract
The Baribis-Kendeng-Tegal fault is part of the Baribis-Kendeng fault segment that extends from West to East in the north of Java Island. The existence of this fault segment affects seismic activity in Tegal. The research was conducted by microtremor measurement to determine the earthquake susceptibility index and the thickness of the weathered layer in Tegal City. The data collection method in the study used the HVSR (Horizontal-to-Vertical Spectral Ratio) method to determine the subsurface conditions of the study area. The results of the horizontal component analysis of the vertical component showed a spectrum peak at the dominant frequency and amplification factor. The thickness of the weathered layer was obtained from the comparison of the value of Vs 30 of the study area to its natural frequency value. The seismic vulnerability index was obtained by squaring the amplification and dividing it into its natural frequency. Measurements carried out at 37 points in Tegal City obtained varying thickness of the weathered layer, ranging from 4.29 meters to 88.14 meters and seismic vulnerability values ranging from 0.08 to 16.65.
Determining model parameter from self-potential data using quantum-behaved particle swarm optimization
Authors: Candra Arya Dwi , Widyaningrum Yekti , Sungkono  
Published: July 2021

AbstractA new approach for quantitative analysis of self-potential (SP) data is introduced. In this paper, anomaly of SP is associated with simple geometric models such as a vertical cylinder, a horizontal cylinder and a sphere object. Then, in order to estimate the depth, the electric dipole moment, the anomaly body’s centre, the geometrical form factor and polarization of the anomaly, the method was developed and implemented. The development and implementation of the method is based on the global optimization concept. This method uses Quantum-behaved Particle Swarm Optimization (QPSO) algorithm to overcome the inversion problem on SP anomaly modelling. The QPSO algorithm was randomly tested on synthetic data which consist of different random noise levels. The result shows a close agreement between the assumed and the measured parameters. At last, the validity of the method was tested on real SP anomaly data and compared to the results given by other advanced inversion approaches.
Radiation Microwave-Alkali Pretreatment of the Sawdust for the Glucose Production
Authors: Sutiari D K , Zulfadlih L S , Abidin M S 
Published: July 2021

Abstract
This research aims at the investigation of the effect of microwave radiation and low concentration alkali (NaOH) pretreatment to sawdust in a production process of glucose. The experiment has been conducted by varying the time period of heating and microwave power. Twenty grams of white teak sawdust collected in the South Konawe region have been heated by means of microwave radiation. Besides that, some pretreatment has also been carried out without heating. It has been obtained that at high power the longer the heating time the higher the concentration of the resulting glucose is. When the heating time of sawdust has been set for 2 minutes the concentration of the glucose is 7.09 mg/mL. The concentration in amount of 12.97 mg/mL has been obtained for the heating time 24 minutes. Under low power treatment, the experiment result showed that microwave energy did not have a significant effect on the glucose concentration. The same result has been also performed by the samples without heating. This experiment indicated that the variations of the combination between time and the power of microwave give significant influence to the increment of the glucose concentration. The result shows that giving pretreatment using microwave radiation can increase the glucose concentration of sawdust.
A Dynamic Model of Glioma Tumor Growth Based on Changes in Blood Glucose Concentration using Runge-Kutta Order 45
Authors: Handoko  , Wahyudi S T , Setiawan A A , Kartono A 
Published: July 2021

Abstract
The aggressive nature of the glioma tumor and the low survival rate of glioma sufferers make it very difficult to cure glioma tumors. The use of biomarkers in the blood to detect early glioma tumors is necessary for the evaluation of special treatment in patients with these tumors. Because there is a relationship between blood glucose concentrations and glioma tumors. This also opens up opportunities for the early detection of glioma tumors using the dynamic model method. This study presents the model of coupled ordinary differential equations to describe glioma growth based on changes in blood glucose concentration. This dynamic model contains glioma-glucose-immune interaction. The Runge-Kutta Order 45 function that has been created gives similar results with the MATLAB ode solver (ode45, ode23s, and ode15s). The simulation results indicate that there is an inverse relationship between glioma tumor growth (active state not in a dormant state) and a decrease in blood glucose serum levels. Also, there is a relationship between glioma growth and the immune system, which is an important element in controlling glioma tumor growth.
Study of Diffusion Weighted Imaging in Magnetic Resonance Imaging: Quantification of Apparent Diffusion Coefficient (ADC) from b-value in Agarose
Authors: Hakim Randy Ivanal , Dwihapsari Yanurita 
Published: July 2021

Abstract
Diffusion Magnetic Resonance Imaging (MRI) is one of the promising methods to observe molecular structure and diffusion properties of materials and tissues inside human body. The experiments with diffusion MRI had been conducted on 11 agarose gel inside tubes with the solution percentages of 0% - 5% with an increment of 0.5% to obtain apparent diffusion coefficient (ADC) of agarose gel. Images were acquired using 1.5 Tesla MRI machine with a spin-echo sequence. The parameters used are TR 5000 ms, TE 50 ms, b-value with variations of (10, 50, 75, 125, 250, 500, 750, and 1000) s/mm2, slice thickness 5 mm and field of view 36 mm × 36 mm. Image processing was carried out using ImageJ software to determine the average signal intensity for each sample. After signal intensities from all variations of b-value were obtained, the linear curve fitting with b-value was performed using Matlab to obtain ADC. From the experimental results, it is found that the signal intensity decreases with increasing b-value and ADC of agarose gel is not linearly proportional to agarose concentration.
A comparison on the use of Perlin-noise and Gaussian noise based augmentation on X-ray classification of lung cancer patient
Authors: Haekal M , Septiawan RR , Haryanto F , Arif I 
Published: July 2021

Abstract
The use of deep learning in medical image classification has become an important study in the past few years. The proper use of this method, however, is still hindered by many problems, one of it being the imbalance of dataset available for training which resulted in small-set database. In this study, the effect of noise-based augmentation on the performance of deep learning based classification will be studied. The noises which were used for the augmentation method were Perlin-noise and Gaussian noise. The modality of medical image used in this study is X-ray. 174 X-ray images (87 cancer, 87 normal) were used in this study and will be classified by using transfer learning from previously trained deep learning architecture. The deep learning architecture used was vgg-19. The images were divided into two groups, 138 (69 cancer, 69 normal) images were used for training phase and 36 (18 cancer, 18 normal) were images used for testing phase. Three deep learning models were used for the classification tasks, the first one was retrained to classify the original images, the second one was retrained by using mix of original images and images with Perlin-noise, and the third one was retrained by using mix of original images and images with Gaussian noise. The results showed that the three models returned similar accuracy of 0.8 which indicate that the use of noise-based augmentation can increase the performance of deep learning in classifying medical images with small set training database.
Modeling evidence for large, ENSO-driven interannual wintertime AMOC variability
Authors: Smith K L , Polvani L M 
Published: July 2021

Abstract
Recently established North Atlantic ocean observing arrays, such as RAPID/MOCHA, have revealed a large degree of high-frequency variability in the Atlantic Meridional Overturning Circulation (AMOC). Climate modeling studies of the AMOC, however, have traditionally focused on the low-frequency variability of the annual mean AMOC, with an emphasis on multi-decadal and longer time-scale variability. Thus, little is known about the sources of interannual wintertime, wind-driven AMOC variability. Analyzing the Community Earth System Model, we here show the existence of a robust leading mode of interannual variability in the wintertime AMOC that is distinct from the leading mode of the annual mean. We further show that this mode of variability is significantly linked to the El Niño-Southern Oscillation via the North Atlantic Oscillation.
A brown wave of riparian woodland mortality following groundwater declines during the 2012–2019 California drought
Authors: Kibler Christopher L , Schmidt E Claire , Roberts Dar A , Stella John C , Kui Li , Lambert Adam M , Singer Michael Bliss 
Published: July 2021

Abstract
As droughts become more frequent and more severe under anthropogenic climate change, water stress due to diminished subsurface supplies may threaten the health and function of semi-arid riparian woodlands, which are assumed to be largely groundwater dependent. To better support the management of riparian woodlands under changing climatic conditions, it is essential to understand the sensitivity of riparian woodlands to depth to groundwater (DTG) across space and time. In this study, we examined six stands of riparian woodland along 28 km of the Santa Clara River in southern California. Combining remote sensing data of fractional land cover, based on spectral mixture analysis, with historical groundwater data, we assessed changes in riparian woodland health in response to DTG during the unprecedented 2012–2019 California drought. We observed a coherent ‘brown wave’ of tree mortality, characterized by decreases in healthy vegetation cover and increases in dead/woody vegetation cover, which progressed downstream through the Santa Clara River corridor between 2012 and 2016. We also found consistent, significant relationships between DTG and healthy vegetation cover, and separately between DTG and dead/woody vegetation cover, indicating that woodland health deteriorated in a predictable fashion as the water table declined at different sites and different times. Based on these findings, we conclude that the brown wave of vegetation dieback was likely caused by local changes in DTG associated with the propagation of precipitation deficits into a depleted shallow alluvial aquifer. These factors suggest that semi-arid riparian woodlands are strongly dependent on shallow groundwater availability, which is in turn sensitive to climate forcing.
Fleet diversity of squid fisheries in Indonesia Fisheries Management Area – 711
Authors: Suryanto  , Oktaviani D , Nugroho D , Anggawangsa R F 
Published: July 2021

Abstract
Indonesia’s Fisheries Management Areas (IFMA) 711, which is geographically located in the north-west of Indonesia and bordered by several ASEAN countries. Squid resource is one of the economically targeted species. Four types of fishing gears were applied. This study aims to illustrate the prospects of capturing fisheries businesses with emphasized fleet tonnage and fishing gear diversity indices, volume, and export values. The source of data was derived from various digital sources available. The analysis was carried out through graphical and tabulation approaches. The dominant fishing gears were Cast Net and Bouke Ami, with a 31-60 GT size. The results showed that Bouke Ami, with a size of 91-120 GT and all class of Cast Net fleet, had a trend of decreasing fleet diversity in 2015-2019. Riau Islands, Riau, Jambi, South Sumatra, Bangka Belitung, and West Kalimantan provinces share the IFMA squid resources. The squid ratio to the total fish landing shows that the West Kalimantan, Bangka Belitung, and Riau Islands increased. Jambi province tends to decrease during the period 2014-2018, and the other two provinces were relatively constant. These findings indicated that squid fisheries management in IFMA 711 could play a significant role in supporting the coastal community’s long-term economic resilience sustainably.
Water physical factor analysis using aqua-modis image data to determine the tour ship route in Karimunjawa
Authors: Wibawa B E , Bambang A N , Purwanti F , Suprapto D 
Published: July 2021

Abstract
Tourism development is closely related to the sustainable development that has been declared by the Government. The development of the tourism sector is in line with national development goals. The tourism development must be based on sustainability criteria, which means that development which was environmentally supported in the long-term as well as economically feasible, ethically fair, and socially fair to society. The condition of sea transportation (accessibility) of the Karimunjawa Islands people toward mainland (Java Island) was very limited, that was an average of 10 trips / week in and out of the Karimunjawa port, until the end of 2012. The Inter-island transportation was using fishing boats. This become an obstacle for economic activity, fulfilled the needs of coastal communities and the limited number of tourist visits. The purpose of this research was to identify the average range of water parameters for the route of the tour ship using aqua-modis and to analyze the average range of the waters suitability for determining the port of tour ship. The results of the study used aqua-modis image data, the range of average water temperature in Karimunjawa was ranged from 27 - 320C, the average depth measurement was ranged from 2 - 3 meters at high and low tide, while the average current was ranged from 0.8 - 1.0 m / s. The results of this study proved that the physical parameters of Karimunjawa water were very suitable for tour routes with the category of long vessel capacity with 12 m dimensions, 10 m width, 2.1 m and with an engine size of 5 GT.