bluuebunny/crossref_metadata_2025_split huggingface dataset:
A boundary element method for anisotropic-diffusion convection-reaction equation in quadratically graded media of incompressible flow
Authors: Salam N , Suriamihardja D A , Tahir D , Azis M I , Rusdi E S 
Published: November 2019

Abstract
A boundary element method (BEM) is utilized to find numerical solutions to boundary value problems of quadratically graded media governed by a spatially varying coefficients anisotropic-diffusion convection-reaction (DCR) equation. The variable coefficients equation is firstly transformed into a constant coefficients equation for which a boundary integral equation can be formulated. A BEM is then derived from the boundary integral equation. Some problems are considered. A FORTRAN script is developed for the computation of the solutions. The numerical solutions verify the validity of the analysis used to derive the boundary element method with accurate and consistent solutions. The computation shows that the BEM procedure elapses very efficient time in producing the solutions. In addition, results obtained for the considered examples show the effect of anisotropy and inhomogeneity of the media on the solutions. An example of a layered material is presented as an illustration of the application.
Diffusion convection-reaction equation in exponentially graded media of incompressible flow: Boundary element method solutions
Authors: Raya I , Firdaus  , Azis M I , Siswanto  , Jalil A R 
Published: November 2019

Abstract
We setup boundary value problems (BVPs) for exponentially graded media. The BVPs are governed by a diffusion convection-reaction (DCR) equation of spatially varying coefficients (with an anisotropic diffusion coefficient). A boundary element method (BEM) is utilized to find numerical solutions to BVPs. The numerical solutions obtained verify the validity of the analysis used to derive the BEM with accurate and consistent solutions. The computation shows that the BEM procedure elapses very efficient time in producing the solutions. In addition, the results show the effect of anisotropy and inhomogeneity of the media on the solutions. To illustrate the application, an example of a layered material is presented.
Hypocenter relocation analysis of 7.5 Mw Palu and its aftershocks: A preliminary result
Authors: Ramdhan M , Priyobudi  
Published: November 2019

Abstract
The earthquake that occurred in the Palu city and its surroundings on September 28, 2018, with a magnitude of 7.5 Mw caused a lot of casualties and infrastructure damages. Tsunami and liquefaction are secondary effects that contribute significantly to these two losses. The earthquake occurred at the Palu Koro Fault with a strike-slip mechanism. The BMKG seismic network successfully recorded aftershocks caused by the earthquake. Hypocenter relocation using the double-difference method is applied in this study to analyze the mainshock and its aftershocks so that the fault geometry of the earthquake can be known clearly. This study used the BMKG earthquake catalog at coordinates 40S-10N and 1180-1220E until the end of December 2018. The results show an improvement in the hypocenter position with loss of fix depth at a depth of 10 km so that the area can be interpreted tectonically. The results also show that the majority of the earthquakes beneath the fault are at a depth of less than 25 km. The relocated hypocenter parameters are very useful as a database for further tectonic studies that are useful for earthquake disaster mitigation in the area.
Numerical simulation for anisotropic-diffusion convection reaction problems of inhomogeneous media
Authors: Jalil A R , Azis M I , Amir S , Bahri M , Hamzah S 
Published: November 2019

Abstract
A boundary element method (BEM) is utilized to find numerical solutions to boundary value problems of inhomogeneous media governed by a spatially varying coefficients anisotropic-diffusion convection-reaction equation. The variable coefficients equation is firstly transformed into a constant coefficients equation for which a boundary integral equation can be formulated. A BEM is then derived from the boundary integral equation. Some problems are considered. A FORTRAN script is developed for the computation of the solutions. The numerical solutions verify the validity of the analysis used to derive the boundary element method with accurate and consistent solutions. The computation shows that the BEM procedure elapses very efficient time in producing the solutions. In addition, results obtained for the considered examples show the effect of anisotropy and inhomogeneity of the media on the solutions. An example of a layered material is presented as an illustration of the application.
A numerical study on the effect of the material’s anisotropy in diffusion convection reaction problems
Authors: Rauf N , Halide H , Haddade A , Suriamihardja D A , Azis M I 
Published: November 2019

Abstract
A boundary element method (BEM) is utilized to find numerical solutions to boundary value problems of homogeneous media governed by as anisotropic-diffusion convection-reaction (DCR) equation. Some problems are considered. A FORTRAN script is developed for the computation of the solutions. The numerical solutions verify the validity of the analysis used to derive the boundary element method with accurate and consistent solutions. The computation shows that the BEM procedure elapses very efficient time in producing the solutions. In addition, results obtained for the considered examples show the effect of the anisotropy of the media on the solutions.
Composites Based Ordinary Portland Cement and Fe2O3 for X-Ray Shield Applications
Authors: Riswati  , Mutmainna I , Rauf N , Tahir D 
Published: November 2019

Abstract
The shielding material of X-Ray has been synthesized from Ordinary Portland Cement (OPC) as a matrix and Fe2O3 (FE) as a filler by four different composition are A1, A2, A3 and A4 for 0 wt%, 5 wt%, 10 wt% and 15 wt% of Fe2O3, respectively. The matrix and filler materials are characterized using X-Ray Fluorescence (XRF). For OPC-FE composites were characterized using X-Ray Diffraction (XRD) and Mobile X ray with tube voltages are 63 kV & 73 kV and 85 kV for each samples to analyze the absorption characteristics. The results obtained showed that the dose reduction of X-Ray radiation increases with increasing wt% of FE, but decreased with increasing tube voltage. The best results were obtained on A4 samples when the tube voltage is 63 kV, the value of μ is 0.22 mm-1, HVL is 3.12 mm, and the absorption from the X-Ray radiation source is 98.82%.
Evaluation of performance levels of CT scan dual slice using phantom ACR
Authors: Rahayuddin A , Abdullah B , Tahir D 
Published: November 2019

Abstract
Research on evaluation of the modality of Dual Slice CT Scan using phantom ACR has been carried out. The purpose of this study was to determine the performance of Dual Slice CT Scan in a period of three consecutive years namely 2016, 2017 and 2018. Evaluation of the quality of Dual Slice CT Scan in the form of CT Number accuracy, CT Number uniformity, noise uniformity, and the linearity of the CT Number. This study uses a quantitative analysis method of participatory observation. The values ''of CT numbered accuracy, CT number uniformity, noise uniformity and CT number linearity are calculated as the average value and the standard deviation value in the last three years. The analysis shows that the CT Number Accuracy increasing from 0.73 for 2016 to 1.32 for 2018 and similar for CT Number uniformity is 1.04 for 2016 and increase to 1.43 for 2018.
Fabrication of Milk Fat Sensor based on Plastic Optical Fiber
Authors: Angrasari F , Arifin A , Abdullah B 
Published: November 2019

Abstract
The research about milk fat content based on plastic optical fiber sensor using gamma and spiral spring without cladding configurations has been reported. LED light transmitted through the plastic optical fiber to be received by the phototransistor. Changes in milk fat content affect the light intensity received by the phototransistor. Sensor output voltage amplified by a differential amplifier and then the analog signal converted into the digital signal by the Arduino Uno microcontroller furthermore, the output voltage read on a computer. The milk fat content sample with a percentage of 0.773 % to 4.473 % affect the propagation of light in the core of plastic optical fiber results in power losses that occur so that the light intensity decreases and the output voltage measured becomes smaller. The results showed that the higher the milk fat content, the sensor output voltage decreases. The best measurements obtained on the spiral spring configuration with 4 windings produce value range 0.044 V, sensitivity 11.887 mV/%, and a resolution of 0.084 %. This method is effective as well as efficiently used as milk fat sensor because it has good sensitivity and resolution.
Dispersion analysis of SO2 pollutants caused by sugar industry of PT. Makassar Tene
Authors: Putra R A , Assegaf A H , Suryani S 
Published: November 2019

Abstract
National sugar production only reached 2.756 million tons in 2014. This number has not been able to meet total consumption of 5.396 million tons. The steam boiler stack generated from coal combustion process in sugar production produces sulfur dioxide gas waste. This research purpose was used as simulation tool to determine the concentration of emissions produced at distance, time, the dispersion of emissions direction, and the type of distribution patterns. The research method was the American Meteorological Society - Environmental Protection Agency Regulations Model (AERMOD). The data input of the AERMOD model consisted of meteorology data, stack emissions, and topography for past 5 years. Meteorological data processed by AERMET was taken from the Hasanuddin station (ID WMO 971800 / WAAA). The topographic data was obtained from the AERMAP model which was downloaded and processed using SRTM3 coordinate data. The result of the AERMOD model was the isopleth map which showed the dispersion pattern of pollutants with different concentrations. The SO2 concentration value of 6.91348 μg/m3 was the highest value that occurred at 1 hour measurement since the pollutant was emitted from the stack located 293 meters from the emission source (UTM 774635.04 m and 9435968.83 m).
Reconstruction of Conceptual Model in Mataloko Geothermal Field (Nusa Tenggara Timur)
Authors: Fauziyah Y H , Daud Y 
Published: November 2019

Abstract
Mataloko Geothermal field is administratively located in the Todabelu Village, Golewa District, Ngada, Nusa Tenggara Timur (NTT) within 10 km to the east-southeast of Bajawa, the capital Ngada. Shallow reservoir is located in the rock alteration were identified as claycap zone. The formation of the reservoir zones in claycap zone is caused by normal faults Wae Luja that pass through this area, where this fault which causes the formation of fractures in this zone and as a channel entry of fluid from the reservoir into the shallow reservoir.Development of conceptual model is started by interpreting geosciences data (geology, geochemistry, geophysics). The first step is reprocessing of Magnetotelluric (MT) data as the main data. It is then integrated with the analysis results of geology, geochemistry, geophysics data to generate a conceptual model. The evidence by the temperature wells around 287.8°C from Geothermometer gas calculation (D'Amore dan Panichi).
Complex conjugate for second-order derivative of 2D analytic signal of magnetic field anomaly
Authors: Manan A 
Published: November 2019

Abstract
The complex conjugate approach for the second-order derivative of a function was obtained by truncating the Taylor series whose function has been expanded around x in the h-term in the complex conjugate argument. This approach was composed to resemble the Central-Difference form of the ordinary Finite-Difference Method. After being tested by comparing it with manual solution, this method was very accurate with relative errors obtained in the range of 0.088271927039904⩽RE⩽6.679993448987438x10−07. The combination of step h and interval δx in the formula of this approach that was appropriate for obtaining optimal computational results were h=1.0x10−13 and δx = 1.0x10−10. Finding the appropriate combination of h and δx could be done easily and quickly, requiring no special treatment. The computational results of the derivatives were then used to compute second-order 2D Analytic Signals of magnetic field anomalies. Illustratively, Analytic Signal could transform bipolarity of magnetic data into positive polarity so that it would be very useful in processing and interpreting actual data.
Application of Geoelectrical Resistivity Method for Groundwater Exploration Using Wenner-Schlumberger Configuration in Sampakang, Maros Regency, Indonesia
Authors: Syamsuddin E , Haris N A , Mustafa N S , Swastika D A , Nurdin N H 
Published: November 2019

Abstract
Indonesia is one of the tropical countries that only has two seasons, namely the dry season and the rainy season. The prolonged dry season caused the villagers in Sampakang having difficulties in obtaining clean water sources. This research conducted in Sampakang, Maros, Indonesia aims to obtain groundwater that can be used as a spring for villagers. The research was conducted using the Geoelectrical Resistivity Method Wenner Schlumberger configuration with a total trajectory of 56 m. The results of the analysis showed that the soil structure consists of shallow groundwater and the RMS error is 2.2%. Where the thickness of the aquifer layer is 9 m and was found at a depth of 2.5 m-11.5 m. Aquifer layer in the form of alluvium deposits with a resistivity value of about <10.9 Ωm-100 Ωm. There is a permeable layer in the form of limestone in a depth of 9.6 m with resistivity value at >100 Ωm.
The growth determinant based on economic and non economic factors (empirical evidence in Central Java Province, Indonesia)
Authors: Hakim A R , Subanti S 
Published: November 2019

Abstract
The study of economic growth has been grown, if previously only paying attention to economic factors, now also consider non-economic factors. The development of growth studies has provided a new study perspective in recent decades so that it slowly develops into its own interest in study. This paper wants to fill this up by combining economic and non-economical factors as determinants of growth. This paper uses individual data for districts or cities in Central Java Province. The analysis technique used is ordinary least squares through multiple regression. The paper's findings show that only investment factors as a representation of economic factors that influence growth, while non-economic factors do not have a significant influence on growth, where the influence of non-economic factors produces ambiguous findings. From the findings of this paper, it still have some limitations that must be corrected for further study.
Robust Principal Component Analysis with Modified One-Step M-Estimator Method
Authors: Sriwijayanti  , Raupong  , Sunusi N 
Published: November 2019

Abstract
Principal component analysis (PCA) is a multiple variable analysis method that aims to reduce the dimensions of the original variable, which are mostly correlated so that new variables that are not correlated are obtained. The data used is criminality data in Indonesia in 2016 which contains outlier data in it. Therefore this study cannot use classic PCA because classic PCA was formed based on a covariant variant matrix that is very sensitive to the existence of outlier data. To overcome this problem, PCA robust is used with the Modified One-Step M-Estimator method with a MADn scale estimator to get the main components that are not much influenced by outliers. Modified One-Step M-Estimator (MOM) is the average remaining value of all extreme values that have been issued. The results obtained are there are 3 main components that can explain 85.19% of the variance of the 7 original variables.
Characteristic of extreme rainfall in Makassar, Province of South Sulawesi
Authors: Rahim A , Bakri B , Anisa  , Mutholib A , Haerunnisa A 
Published: November 2019

Abstract
The effect of climate change on extreme rainfall is important to note due to its damaging impact on the environment and humanity. This study aims to analyze the characteristics of extreme rainfall in the Province of South Sulawesi. The characteristics investigated are trends and models of extreme rainfall distribution. Trend analysis of extreme rainfall used the Mann-Kendall Test. Modeling of extreme rainfall distribution used the Annual Maximum approach with Generalized Extreme Value (GEV) distribution. The extreme rainfall distribution model is approached with non-stationary models. The method of parameter estimation used the maximum likelihood method coupled with the BFGS Quasi-Newton methods. Model selection performed based on the smallest Akaike’s Information Criterion (AIC) value. Using rainfall data in Makassar rain gauge for a period from 1983 to 2015, the results show that there is a decreasing trend of extreme rainfall in Makassar Municipality and the appropriate distribution model for extreme rainfall data is a non-stationary model.
Modelling The Recovery of Health Conditions for Pulmonary Tuberculosis Patients at Dr. Soegiri Hospital Lamongan in 2018 Using Binary Logistic Regression
Authors: Wulandari S P , Susilaningrum D , Viyanti P D 
Published: November 2019

Abstract
East Java province occupied the second place with pulmonary tuberculosis cases in Indonesia. Lamongan is one of the regencies of East Java has a number of pulmonary tuberculosis treatment success that has not met the target, this means that there are still many pulmonary tuberculosis patients who do not recover after undergoing treatment or even died. Therefore conducted a study using a binary logistic regression method to find out the factors that affect recovery pulmonary tuberculosis sufferer's health condition in the Provincial Hospital Dr. Soegiri Lamongan so that people can avoid the factors that significantly affect the recovery of the health condition of pulmonary tuberculosis disease sufferers. The results showed that nutritional status, presence of complications, when influential significant and long against the recovery of pulmonary tuberculosis patients condition.
Mercury (Hg) contamination on water, sediment and macrozoobenthos in Waelata River, Wamsait Village Waelata Sub-district, Buru District, Maluku Province
Authors: Heumasse H , Omar S B A , Demmallino E B 
Published: November 2019

Abstract
Gold was found in Buru Island, Maluku Province, Indonesia in November, 2011. Since then, the artisanal small-scale gold mining (ASGM) activity was started in Botak Mount up to now. Mercury was used to extract gold through amalgamation process and produce high volume of wastewater contaminated by Hg to Waelata River, straight to Kayeli Bay. This caused serious problem for the environment. Sampling was done in three locations in Waelata River, Wamsait Village, Waelata Sub-District, Buru District, with the three times of repetition to determine the mercury (Hg) concentration level in the water, sediment and macrozoobenthos. The research result showed that the highest Hg concentration mean in the water, sediment and macrozoobenthos was in ST.02 with the respective values namely 0.0012±0.0001 ppm, 0.0833±0.0062 ppm and 0.0088±0.0003 ppm. On the other hand, the lowest Hg concentration mean was found in ST.01 with the respective values namely < 0.0005±0.0000 ppm, 0.0228±0.0019 ppm and 0.0050±0.0034 ppm. The wastewater was produced by the gold mining activities that did not flow to ST.01, so that Hg in the wastewater did not have any correlation with the Hg in sediment and macrozoobenthos (p<0.05), however it flowed from ST.02 to ST.03 so that the Hg in the water has correlation with Hg in sediment and macrozoobenthos (p>0.05).
Selection of Compound Group to Identify the Authenticity One of Jamu Product Using The Group Lasso for Logistic Regression
Authors: Riau B P R , Afendi F M , Anisa R 
Published: November 2019

AbstractCounterfeiting Jamu Product in Indonesia that is quite common nowadays. Jamu product X is one of the cases of counterfeiting Jamu products, counterfeiting of medicinal products X that occur with the same physical form so it is very difficult to identify its authenticity. The development of science encourages the emergence of various analytical methods, one of them is chemometric analysis using Fourier Transform Infrared Spectroscopy (FT-IR) spectrophotometry. This can be conducted using middle infrared spectrum to produce wavelengths to be identified. Chemometric results are very difficult to be interpreted, therefore statistical analysis methods is required to make is easier, one of which uses the Group Lasso. Group Lasso is a method that is able to select variables to identify the authenticity of Jamu products X. Because the data used is categorical data so the method used is Group Lasso for Regression Logistic. This study aims to determine the influential group of compounds to identify the authenticity of Jamu product X. The result showed that the compound group which influenced the authenticity of Jamu product X, were C-H aliphatic (methyl, methylene, methylene group), H-C-H bending (methyl, methylene), and theno erthosubtitued aromaticwith 100% accuracy.
Mathematical models of heterogeneity in cancer cell growth: a review
Authors: Macansantos Priscilla S. 
Published: November 2019

Abstract
Cancer is characterized by unregulated growth of certain cells in the body, often leading to a rapid growth of tumors in vital organs. Various treatments have been proposed and given to cancer patients, including combinations of radiation, chemotherapy, and immunotherapy, with varying rates of success. Characterization of the disease (and the search for a cure) is made more challenging by the observed heterogeneous behavior and variability of growth rates of cells, particularly cells forming tumors in various stages of development. Heterogeneity refers to apparently dissimilar traits and behavior of individual cells or cell subpopulations, despite originating from a common tumor or parental line. In the last several decades, developments in mathematical biology, together with increasing availability of sophisticated laboratory equipment (aided by powerful computers) has provided a framework for the quantification and study of cell traits, including variability. We review some recent work on heterogeneity and growth variability in the context of mathematical models proposed. In the models presented, variance in cell proliferation rate distribution signals heterogeneity, so that mechanisms tuning variance are considerations for treatment strategies. We look into previous work and studies on sources of variability and stochasticity, and some numerical approaches are discussed, in order to deal with huge gene networks implicated in the complex process of cell division, proliferation and heterogeneity.