bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical solutions for anisotropic-diffusion convection problems of incompressible flow in exponentially graded media
Authors: Haddade A , Syamsuddin E , Massinai M F I , Azis M I , Latunra A I 
Published: November 2019

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

Abstract
A boundary element method is utilized to find numerical solutions to boundary value problems of exponentially graded media governed by a spatially varying coefficients anisotropic-diffusion convection equation. The variable coefficients equation is firstly transformed into a constant coefficients equation for which a boundary integral equation can be formulated. A boundary element method (BEM) is then derived from the boundary integral equation. Some problems are considered. The numerical solutions justify the validity of the analysis used to derive the boundary element method with accurate and consistent solutions. A FORTRAN script is developed for the computation of the solutions. The computation shows that the BEM procedure elapses very efficient time in producing the solutions. In addition, results obtained from the considered examples show the effect of anisotropy of the media on the solutions. An example of a layered material is presented as an illustration of the application.
Properties of ZnO/TiO2 hetero-structures thin films grown by sol-gel with various zinc acetate dehydrated concentration
Authors: Gareso P L , Aeni N , Musfitasari  , Rauf N , Juarlin E 
Published: November 2019

Abstract
We have investigated the structural and optical properties of ZnO/TiO2 hetero-structures thin film with various zinc acetate dehydrates concentration (0.5 M, 1.0 M, 1.5 M, and 2.0 M) grown by sol-gel method. Zinc oxide sol-gel were prepared by dissolving zinc acetate dehydrates as precursor into an ethanol. The solutions were added with triethanolamine as a stabilizer. For preparing the TiO2 sol-gel, titanium tetraisoproxide (TTIP) was used as precursor and it was dissolved into the ethanol and added with an acetic acid as stabilizer. A glass substrates were cleaned with acetone prior to the thin films was coated on it. The first layer was ZnO thin film and then followed by TiO2 were deposited into the glass substrates. The ZnO/TiO2 hetero-structures thin films were inserted into furnace for undertaking the heat thermal at the temperatures of 5000C for 60 minutes. X-ray diffraction was used to characterize the structural properties of ZnO/TiO2. The optical properties ZnO/TiO2 were characterized using the optical UV-Vis spectrophotometer measurement. Based on the X-RD results, the peak is clearly observed for ZnO thin films in the plane of (100), (002), and (101), indicating that ZnO in the crystalline phase, while TiO2 is in the amorphous phase. The optical band gap of the ZnO/TiO2 hetero-structures thin films for 1.0 M and 1.5 M is 3.150 eV, and 3.153 eV, respectively.
Optical properties of wood by laser spectroscopy
Authors: Muhammad N A , Isnaeni  , Tahir D 
Published: November 2019

Abstract
Optical properties of three Indonesian woods (Red Jabon, Kapur and Red Meranti) has been analyzed based on its photoluminescence (325 nm and 405 nm), reflectance and absorbance spectra. The sample thickness affected to the emission spectra. We found that lignin and cellulose were emitted around the UV (400 nm-500 nm) and visible (500 nm-600 nm) wavelength respectively. The amount of lignin exist in the wood are 25.68% for Red Jabon, 14.57% for Kapur and 27.93% for Red Meranti. This method shows high potentials for determining lignin for any kind of woods.
Chlorine signal investigation in organic product as a pesticide residues by Laser Induced Breakdown Spectroscopy (LIBS)
Authors: Irwan M , Siddiq M , Tahir D 
Published: November 2019

Abstract
We have been determined chlorine (Cl) spectra line as one of the most hazardous pesticide by using laser induced breakdown spectroscopy (LIBS) with various concentration of sodium chloride in cacao (1%, 3%, 5%, 7% and 10%). The experiment is carried out with a Nd-YAG laser system operating at a wavelength of 1064 nm, pulse energy is 150 μJ and various integration time are 10 ms, 50 ms and 80 ms. Based on the result, chlorine (Cl) line is detected at a wavelength of λ = 837,56 nm is enhancement slightly increasing with sodium chloride concentration in organic product. So, LIBS method is high potential for investigating of chlorine (Cl) residues in organic products
Quantifying entrance skin dose for early diagnose of lung cancer
Authors: Latif A , Suryani S , Abdullah B 
Published: November 2019

Abstract
Lung cancer is disease that can cause death in a short time, but it is almost never detected at an early stage, because its symptons are not specific, such as coughing and lack of appetite. In some patients who have a smoking habit, it is easier to be suspected of having a tumor or lung cancer. In order to detect a tumor or lung cancer, a chest X-ray examination is generally done as an early diagnosis. As we have already known, exposure of X-ray radiation to the body can have a negative impact, therefore the dose of X-ray radiation exposure must be minimized. In this study a measurement of entrance skin dose (ESD) was performed on chest X-ray examination in patients suspected of having a tumor or lung cancer. The results showed that patients who had symptoms similar to those of tumor or lung cancer had higher ESD than those who did not. Although the radiation dose is higher than dose on routine chest X-ray examination, it only shows abnormality of radiological photogaraph but do not accurately indicate the presence of tumor or cancer.
Effect of SSD and absorbing filter in calibration process of Thermo Luminescence Dosimeter TLD-700
Authors: Nurdin W B , Aswad  , Bariah K 
Published: November 2019

Abstract
It had been carried out the study about effect of the skin source distance (SSD) and absorbing filter in the callibration process of Thermo Luminescence Dosimeter TDL-700. This effect used the analysis of dose radiation from output using Cs-137 in the calibration process of TLD-700. The calibration process used different measurement at an SSD of 100, 150, 200, and 250 cms and different scales of 0.1, 0.5, 1.0, 3.0 and 5.0 mSvs, respectively. We found that the larger the radiation source used, the greater exposure dose were accepted. Dose radiation output from source Cs-137 source values obtained optimal dose in distance 200 cm absorbed by using filters. The results of the measurement of the output dose using variation of SSD and the variation of absorbed filter on TLD-700 calibration showed that the value of dose that have deviation with the predicted dose less than 6.0%. The measurement of radiation output dose with Cs-137 source on TLD-700 calibration process shows that the larger required dose at the time of irradiation, the greater the radiation time should be given. Radiation measurement of Cs-137 source without absorbed filter is very high so that the irradiation time is relatively short. This is because the radiation emitted by the Cs-137 source is directly absorbed by the TLD-700 during irradiation
Analytical Approach of Long Waves Dynamics in an Estuary (Case Study in Karang Mumus River Estuary)
Authors: Raming I , Suriamihardja D A , Kusuma J 
Published: November 2019

Abstract
A mathematical model is developed for describing a propagating long wave in an estuary. Wave dynamics in an estuary will employ the Saint Venant equation in the form of a nonlinear partial differential equation (PDE), which consists of equations of mass conservation and momentum conservation. Waves propagate in an estuary usually generated by tides entering a gentle slope channel. The analytical approach is used to solve this non-linear PDE approach using a perturbation method. This paper considers only a zero order. A cross-differentiation between conservation of mass and conservation of momentum equations result in the Bessel differential equation. The solution of zero order gives decreasing amplitude of the long wave to the end of the estuary.
Study of Macro Earthquake Attenuation Using Q-Factor Coda Waves Around Matano Fault
Authors: Karnaen M , Suriamihardja D A , Maulana A , Jaya A 
Published: November 2019

Abstract
All Several macro earthquakes have occurred at the Matano fault so it is interesting to study how the energy attenuation in the coda wave. Coda wave is a signal that follows a secondary wave on a seismogram recording. Some macro earthquakes can be monitored well by BMKG through LUWI Station at a distance of 200-300 km from the epicenter. The coda Q-factor is analysed using coda waves at range 2-4 Hz and 4-8 Hz frequencies of lapse times at 20 seconds in vertical component. Variation of coda Q-factor is influenced by the rock medium in the Matano Fault. This Matano Fault is very unique because it is a collision of continental and oceanic rocks that extend from western to eastern part. The study area is divided into three zones, namely the western, central, and eastern zones. The objective of this study is to identify vulnerabilities at low or high level in each zones by the Coda Q-factor that will classify hazardous earthquakes. The value of coda Q-factor is obtained 126.27 in the west, 162.80 in the middle, and 181.96 in the eastern part of the fault. The western part is the most vulnerable area because low coda Q-factor is associated with sediments layer. It is formed by metamorphic rocks close to the active Fault of Palu Koro. The highest coda Q-factor is located at the eastern part of the fault which hazardous zone and has the potential to cause a large earthquake. The eastern zone has a composition of ultrabasic rocks with high rock stress. In general, the average value of Q-factor in the Matano Fault is 157.01, where the value indicates that the characteristics of the Matano Fault are seismic active zones.
Protein Content Sensor based on Plastic Optical Fiber
Authors: Anisfaizurrahmah  , Arifin A , Abdullah B 
Published: November 2019

Abstract
Plastic optical fiber (POF) content protein sensor has been developed. This sensor is made with a gamma and spiral configuration, with a cladding peel length of 5 cm. POF sensor is dipped into the container containing Bovine Serum Albumin (BSA) solution with different concentrations of 0.1-1 mg/ml. Both ends of the sensor are connected by Light Emiting Diode (LED) and Phototransistor. The LED light will propagate through the POF and it is received by the phototransistor. Light that propagates will be interfenced due to increasing of protein concentration around the sensor, so that the output voltage will be affected. The output voltage will be forwarded to Arduino Uno and read by the computer. The best results were obtained in a spiral configuration with 3 bending with a sensitivity of 0.007 Vml/mg and a resolution of 0.142 mg/ml. This method has advantages that are easy fabrication, simple measurement process, and low cost.
Nanostructure and Optical Properties of Fe3O4: Effect of Calcination Temperature and Dwelling Time
Authors: Indrayana I P T , Tjuana L A , Tuny M T , Kurnia  
Published: November 2019

Abstract
In this work, we reported the nanostructure and optical properties of the Fe3O4 nanoparticles. The Fe3O4 have been synthesized from local iron sand Halmahera Utara by using the coprecipitation method at a temperature of 80°C and NaOH concentration of 3M. The nanoparticles were calcined at 150°C and 250°C for 4 hours consecutively, while the calcination dwelling time was 2 hours and 4 hours at a temperature of 250°C. The results show that a formation of Fe3O4 nanoparticles with a spinel crystal structure. The lattice parameter of nanoparticles decreases with an increase of calcination temperature and dwelling time due to higher thermal energy driving the atom to move closer to each other. Hence, the crystallite size of the nanoparticles increases due to the expansion process to the grain of the nanoparticles. The optical gap energy of the nanoparticles decreases due to the formation of a larger particle. It also confirms that the existence of Fe3+-O and Fe2+-O bonds in the nanoparticles which are characteristic functional group bond of Fe3O4 in the tetrahedral and octahedral sublattice. This result can prove that a higher calcination temperature and longer dwelling time can improve the nanostructure and optical properties of Fe3O4.
Orthogonal iteration process of determining K value on estimator of Jackknife ridge regression parameter
Authors: Tinungki G M 
Published: November 2019

Abstract
Jackknife is re-sampling bias estimation method, in predict standard deviations. The principle of the Jackknife method in regression parameters estimation is to eliminate one data and repeat it as much as the number of existing data samples. The step in estimating regression parameter of Jackknife Ridge (JR) was the first to transform data through cantering and scaling process and orthogonalization on independent variables. The second determines initial value k0 and perform the iteration process. The third by transform initial estimator JR and finally by testing the feasibility of the resulting model of Jackknife ridge regression. Results obtained, iteration process is conducted until obtained a value of

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The use of multivariate page test in dealing the violations of principal assumptions in completely randomized block design
Authors: Tinungki G M , Sirajang N 
Published: November 2019

Abstract
There are various variance analysis tests, one of which is the Friedman test, it is used as an alternative to two way variance analysis technique. If there are unmet assumptions in the Friedman test, that is, they are not normally distributed and do not have a homogeneous variant, then the multivariate Page test can be used to determine whether there is a median difference between k (k ⩾ 3), a median population. The Page test will be applied in the case of the growth rate of soybean plants that obtain 5 types of treatment that are conditioned, namely seedling, watering, giving 100% KL, 75%, and 50% KL Based on statistical test using multivariate page indicated that there is influence on 5 types treatment of seed conditioning i.e dry seed (control), distilled water, 100 g PEG L-1 of water, 200 g PEG L-1 of water, and 300 g PEG L-1 of water against 3 response measurements i.e germination, growth rate and growing Randomness Of Soybean.
Detection of Outliers in Multivariate Data using Minimum Vector Variance Method
Authors: Herdiani E T , Sari P P , Sunusi N 
Published: November 2019

Abstract
Outliers are observations that do not follow the distribution of data patterns and can cause deviations from data analysis, so a method for identifying outliers is needed One method in scanning detection is Minimum Vector Variance which is a robust estimator that uses the minimum Vector Variance (VV) criteria. In this study, the MVV method was used to detect outliers in criminality data in Indonesia in 2013 and data that had been entered out by 5% and 10%. The results showed that the MVV method was more effective than the Mahalanobis distance when detecting outliers in data that had been entered out by 5% and 10%.
Power behavior of test based on the moving sums (MOSUM) of spatial least squares residuals
Authors: Somayasa W 
Published: November 2019

Abstract
The optimality of a test can be studied by investigating the behavior of the corresponding power function under alternatives. In this paper we study the rate of decay of power functions obtained from asymptotic model validity tests in linear regression analysis based on the moving sums (MOSUM) process of ordinary least squares (OLS) residuals of univariate spatial observations. The powers under study appear as the evaluation of the probability of events generated by the Kolmogorov-Smirnov (KS) and Cramer-von Mises functionals of the Slepian field plus a deterministic trend. It is shown under mild conditions that the rate of the power to the size of test is bounded by a constant which is proportional to the length of the trend. It is also shown that the rate of decays of the powers of the KS and CvM MOSUM tests coincide with the Neyman-Pearson test which is most powerful (MP) test for simple hypotheses. The performance of the power functions are also discussed by simulation.
Asymptotic modelling of corn plant data using moving sums (MOSUM) technique
Authors: Somayasa W 
Published: November 2019

Abstract
Empirical model building using linear regression has been widely used in agricultural study. The validity of an assumed model is usually check using either F of likelihood ratio test under normally distributed observations. In this paper an asymptotic method based on the moving sums (MOSUM) of triangular array of ordinary least squares (OLS) residuals is proposed. Reasonable tests statistics for detecting valid model are defined as the Kolmogorov-Smirnov (KS) and Cramér-von Mises (MvM) functionals of the residual MOSUM process. The limit process is obtained for the condition under H
0 and under H
1 by applying the continuous mapping theorem to the existing limit theorem for partial sums of the residuals. The quantiles of the KS and CvM statistics under H
0 are approximated by simulation. The application of the method in obtaining a valid model for the speed of growth of corn plants results in the conclusion that a first-order polynomial regression model is shown to be plausible.
Comparison of C4.5 algorithm with naive Bayesian method in classification of Diabetes Mellitus (A case study at Hasanuddin University hospital Makassar)
Authors: Ente D R , Arifin S , Andreza  , Thamrin S A 
Published: November 2019

Abstract
Diabetes mellitus (DM) is one of the chronic and deadly diseases that are widely observed in various countries today. This disease continues and is increasing to a very alarming stage. Indonesia ranks fourth in the world with the highest DM after the United States, India and China. The method used in this study is data collection, variable selection, classification methods, validation and evaluation and decision making. The algorithm used in this study is C4.5 Algorithm and Naive Bayesian Method using a dataset obtained from the results of Hasanuddin University hospital medical records. The results of calculations that have been done obtained accuracy on the C4.5 algorithm of 100% and on the Bayesian naive method obtained at 90%. From these results it can be concluded that to diagnose DM disease it is recommended to use the C4.5 Algorithm .
The analysis of factors that affecting household food security of tuberculosis patients in Surabaya
Authors: Susilaningrum D , Ulama B S S , Wulandari S P , Salamah M 
Published: November 2019

Abstract
Tuberculosis (TB) cases and household food security are fundamental problem which can be concerned with each other. Household food insecurity can affect the ability of a family member in counteracting an infectious disease such as TB. This research is aimed to study the factors that affecting household food security of tuberculosis patients in Surabaya. By Binary logistic regression model, there are four significant variables; Head of Household’s Occupation, Expenditure per Month, The Household Density and Type of Roof, with the correct classification 65.6%.
The Role of Firm’s Unique Resource in Developing Sustainable Competitive Advantage from Strategy Inimitability and its Effect on Firm Performance of Mining Companies in Indonesia
Authors: Rauf Abdul , Kadir Abd. Rahman , Kamariah Najmi 
Published: November 2019

Abstract
The positive relationship between unique resources and sustainable competitiveness of the company has been well understood and applies to almost all businesses. However, little is known about the specific effects of the uniqueness of resources and business strategies in this relationship. Using resource-based view (RBV), Porter's five-factor theory, and game theory, as well as imitation theory between companies, this study explains how the influence of company-specific resources and the uniqueness of the company's strategy as a sustainable competitive advantage affect performance. Analysis of data collected from surveys on 101 mining companies in Indonesia shows companies with distinctive resources are able to produce unique business strategies and insofar as they cannot be replicated, companies can enjoy sustainable competitive advantage. This implies that mining companies need to avoid their resources and business strategies to be imitated by their competitors if the company still wants to maintain competitive advantage and performance.
Substitution Box Design Based from Symmetric Group Composition
Authors: Bin Roslan Muhammad Fahim , Seman Kamaruzzaman , Ab Halim Azni Haslizan , Syam Mohd Sayuti M Nor Azizi 
Published: November 2019

Abstract
This work shows a new design of substitution box (S-Box) construction for the implementation in the block cipher. The S-Box is the only component in block cipher such as advanced encryption standard (AES) that possess the nonlinearity characteristics. Hence, it is crucial to properly design so that it able resist the cipher against known attack such as linear and differential attacks. Thee construction is based on composition of permutation within the symmetric group. This paper focus on the AES S-Box class which received 8-bit input and produced 8-bit output. This bijective S-Box consist of 256 elements which later involve in the process of composition. Initially, a set of 30 S-Box with high nonlinearity is generated using 30 irreducible polynomials under the finite field GF(28). These S-Box is then undergoing two rounds of composition which finally yield about 1.62 million S-Box. More than half of the generated S-Box achieve the nonlinearity of at least 100 with the maximum recorded nonlinearity of 110. This method also guarantee that the generated S-Box is bijective. To show the security level of our construction method, a comparison to other constriction methods is conducted. The methods introduced in this paper have slightly higher nonlinearity compared to several construction with the value of differential uniformity not on the par as AES however comparable to other similar heuristic construction.