bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Ration Based on Soy Sauce By-Product on Addition of Acacia and Chestnut Tannin: An In Vitro Study
Authors: Sadarman  , Ridla Muhammad , Nahrowi  , Sujarnoko Tekad U.P. , Ridwan Roni , Jayanegara Anuraga 
Published: June 2019

Abstract
Feed is a main challenge for a livestock farm, especially during dry season when feed production is low. Such condition may cause low livestock productivity due to insufficient nutrient intake. Provision of high quality forages from grasses and legumes are limited by land competition for various developmental reasons. Therefore, an opportunity to provide feed for livestock is through utilization of agroindustrial by-products such as soy sauce by-product. The objective of the present study was to evaluate soy sauce by-product on addition of tannins, i.e., Acacia mangium Wild. (AT) and chestnut tannin (CT) using an in vitro rumen fermentation technique. The following treatments were tested: soy sauce by-product as control (R1), soy sauce by-product + 1% AT (R2), soy sauce by-product + 2% AT (R3), soy sauce by-product + 1% CT (R4) and soy sauce by-product + 2% CT (R5). The treatments were incubated in vitro with buffered-rumen fluid in four replicates, represented by three incubation units per replicate, and conducted for 24 h at 39 °C. Parameters measured in this research were in vitro gas production at regular time point intervals. Other parameters measured after the incubation were dry matter degradation, organic matter degradation, total volatile fatty acids (VFA), ammonia (NH3) and pH. Data were tested using analysis of variance (ANOVA), if there was a significant different at P<0.05 then continued with Duncan’s multiple range test. The results of this study showed that the addition of tannins, both acacia and chestnuts, had no significant effect (p>0.05) to dry matter degradation, organic matter degradation, total volatile fatty acids (tVFA), NH3 and pH. Acacia tannin was able to influence (p<0.05) the accumulation of gas production at 8, 12 and 24 h. It can be concluded that the addition of tannin, both acacia and chestnuts up to level 2% does not interfere with the fermentation process of soy sauce by-product in the rumen an in vitro.
Identification of Local Isolate of Microalgae Chlorella Vulgaris using Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase Large Subunit (rbcL) Gene
Authors: Yanuhar Uun , Caesar Nico Rahman , Musa Muhammad 
Published: June 2019

Abstract
Identification of microalgae has relied on microscopic observation which is time-consuming and high accuracy requiring. Molecular identification provides a solution to identify microalgae accurately and quickly. This study aims to identify locally isolated of Chlorella vulgaris by using rbcL gene. The study used exploration methods. The sample was C. vulgaris obtained from the local region in Situbondo, Indonesia. C. vulgaris DNA was isolated using the kit Zymo Research Plant. The C. vulgaris DNA was amplificated by PCR using rbcL gene primer then the sequencing of the PCR product was conducted. Phylogenetic analysis was conducted using the MEGA6 software. Research shows that DNA sequences were located at 593bp. After compared with the Chlorella sequences data in the GenBank using BLAST methods, it shows similarities of 88-99% and E-value of 0.0. The phylogenetic reconstruction shows that the local C. vulgaris with code STB01 was clade with another C. vulgaris, the population originates from a common ancestor. Although all population groups are separated by ecogeography. Each population was still genetically similar to short distance among populations. Molecular identification of local C. vulgaris was successfully carried out using primers rbcl and local isolate C. vulgaris have a genetic similarity of 99% with C. vulgaris in others region in the world.
Liquid Impedance Analyser for Glucose Concentration in Water using Resonance Model
Authors: Akbar Muchammad A. , Rianto Sugeng , Sakti Setyawan P. 
Published: June 2019

Abstract
Liquid impedance measurement systems are widely developed as a promised method for analyte detection. The system was using a capacitive model. The object was modeled as a capacitance which then related to the analyte permeability. In this study, a full impedance model formed from the capacitance, inductance and resistance property of the analyte was used. The model which then called an RLC model was constructed in which the analyte properties affect the capacitance, inductance and resistance value of the model at any given frequency. A resonance frequency of the model was exists based on the resistance, capacitance and inductance value. A mixture of water and glucose was used as a measurement model. The impedance spectrum of the RLC model was related to the glucose concentration in water. It was found that the resonance frequency of the system.
Design and Performance of Ethanol Purification Tests Using Poly Ether Sulfone Composite Membrane in The Membrane Pervaporation Process
Authors: Hendrawan Yusuf , Yuliantini Effendie Oktarina Eka , Lastriyanto Anang , Argo Bambang Dwi , Wibisono Yusuf 
Published: June 2019

AbstractThe pervaporation process in the context of ethanol purification is a promising and rapidly developing technology. This is supported by various advantages possessed by pervaporation i.e. do not need additional chemicals, the process is simpler, and does not cause environmental pollution. The purpose of this research is to test the performance of pervaporation design and determine the optimal conditions in the ethanol purification process using a poly-ether-sulfone composite membrane with a coating of 3% alginate & 3% chitosan. This study used two treatments. The first treatment is the temperature of pre-heating in the feed section consisting of 63.64, 67.83, and 72.01 °C. The second treatment is a downstream pressure consisting of 41.325, 46.325, and 51.325 abs kPa. The process was carried out for 40 minutes with a batch system and ethanol feed concentration of 68.05% (w/t). The results showed the highest ethanol concentration was obtained at operating conditions pre heating feed 72.01 °C and downstream pressure of 51.325 abs kPa with ethanol concentration of 82.84% (w/t). The best conditions will be controlled using a non-coating composite membrane and the increase in ethanol concentration in the permeate section is 76.34% (w/t).
Estimation of Simultaneous System of Spatial Dynamic Equation Models with Spatially Corrected Blundell Bond Method of Moment (SCBB-GMM)
Authors: Mala Faiqotul , Fitriani Rahma , Nurjannah  
Published: June 2019

Abstract
The purpose of this paper is used to estimate spatial dynamic simultaneous equations models with simultaneous effects, spatial effects, and time lag effects. Spatial interactions are presented by spatial weight matrices and in addition to dynamics in space and time. Many variables commonly have two direction relationships. Two directions relationship of mutual influence can be summarized in a system of simultaneous equations. In other ways, the relationships of variables are dynamic. In the dynamic panel data models, there is a lag of dependent variable that caused the OLS estimates to be biased and inconsistent. First difference and instrumental variable are needed to overcome this problem. Estimation of parameters in spatial dynamic panel data models with Spatially Corrected Blundell Bond using principles of Generalized Method of Moment (GMM). SCBB-GMM with optimal weights produce parameters that are unbiased, consistent, and efficient
Multi-path signal decomposition with white-noise and correlation analysis
Authors: Naba Agus , Herwiningsih Sri , Harsono Heru 
Published: June 2019

Abstract
Decomposition of composite multi-path signals is a complex problem. The windowing approach in the time domain cannot be used for overlapping signals. While the filtering approach in the frequency domain cannot separate the overlapping signal spectrum. One of the key solutions to this problem is to estimate the time-delay for each signal component. This study discusses techniques for separating multi-path signal components through time-delay estimation by analysing residual signal and its correlation with original signal. The residual signal is the error between the reference and the received signal. Overlapping multi-path signal components are detected in two different approaches. First, when the residual signal is random, the whiteness analysis is applied to detect the signal component. Second, when the whiteness test failed, which means the residual signal has a correlation with the reference signal, the correlation test can then be applied. The simulation results show that this proposed method successfully detected the signal components.
Preparation and characterization of cellulose biofilm from coastal pandanus (Pandanus odorifer) leaves
Authors: Falahudin Aswin , Melati Putjha , Herlina  , Mailiza Agus , Adfa Morina , Gustian Irfan , Salprima Yudha S 
Published: June 2019

Abstract
The main objective of this report is the preparation and characterization of cellulose biofilm from coastal pandanus (Pandanus odorifer) leaves. The first experiment parts is the preparation of coastal pandanus leaves biofilm using a simple dissolution method followed by casting evaporation technique. Further experiments are the characterization of the produced biofilm using Scanning Electron Microscopy (SEM) in order to investigate the morphology of biofilms of pandanus leaves and Energy Dispersive X-ray (EDX) analysis to detemine their main composition. In addition, Fourier Transform Infra-Red (FT-IR) spectroscopy analysis was carried out to compare the main functional groups in the coastal pandanus leaves against to the corresponding biofilm. The SEM analysis shows that, the coastal pandanus cellulose biofilm has almost homogenous morphology. The EDX analysis shows te main elements in the corresponding films were carbon and oxygen (48.19% mass and 38.42% mass, respectively). Based on the FTIR observation, the use of TFA as solvent has impact to functional groups stability of the raw material.
Preparation and Characterization of Silica-Carrageenan Adsorbent for Pb2+ and Cd2+as Interfering Ion
Authors: Maharani Chariztya Anggita , Budiasih Endang , Wonorahardjo Surjani 
Published: June 2019

Abstract
Pb2+ and Cd2+ are poisonous heavy metal ions produced by industrial waste. Waste processing is always required before such material is released into the environment. A safe biomaterial such as silica-carrageenan was designed for the heavy metal adsorbent. The objectives of this research were to prepare and characterize silica-carrageenan adsorbent as well as testing them in some applications, by thin layer chromatography as well as in batch methods. Adsorption profiles of the two heavy metal ions were expected. The result showed that this material contained 1.10 g/cm3 density, 2.10% moisture level, 81.70% ash level, and iodine adsorption value of 21.80%. SEM pictures showed the homogeneous structures with globular particle shape below 100 nm dimension. FT-IR spectra showed the presence of the siloxane groups (≡Si-O≡), silanols (≡Si-OH-), and -OH groups from carrageenan. Both ions could not be eluted by all of the organic eluents on TLC plates of the material, but less than 50% of Pb(II) can be separated. This adsorption value decreased in the presence of Cd(II) in the silica-carrageenan system in batch method.
Characterization of Zirconium-Based Material (ZBM) Synthesized by Gradual Drying for Molybdenum-99 (99Mo) Adsorbent
Authors: Munir Miftakhul , Sarmini E , Herlina  , Sriyono  , Saptiama I , Billah A A 
Published: June 2019

Abstract
Technetium-99m (99mTc), the daughter radionuclide of Molybdenum-99 (99Mo), is the most widely used radionuclide in the world and predicted to face a shortage in the future. A Zirconium-based material(ZBM) is an alternative solution to overcome this problem due to its high adsorption capacity toward 99Mo, and ability to release 99mTc. The performance of the ZBM is influenced by its material properties, especially the surface area and pore diameter. This study aims to characterize and evaluate the ZBM developed by new synthesis method. The ZBM was synthesized using zirconium(IV) chloride, 2-propanol, water and tetrahydrofuran. The drying process after synthesis was conducted by gradual heating. The resulting material was analysed by XRD, SEM, and BET method. The 99Mo adsorption and 99mTc releasing capacity was also evaluated. The analysis result shows that the ZBM is an amorphous material, while its surface area, pore volume, and pore diameter was 45.8 m2/g, 0.19 cm3/g, and 16.29 nm, respectively. The 99Mo adsorption, and 99mTc releasing capacity of the ZBM was 181.58 mg Mo/g ZBM, and 91.81%, respectively.
Chemical composition, chitin and cell wall nitrogen content of Black Soldier Fly (Hermetia illucens) larvae after physical and biological treatment
Authors: Nafisah Ainun , Nahrowi  , Mutia Rita , Jayanegara Anuraga 
Published: June 2019

Abstract
The use of insects as feed may provide a potential solution to overcome the increasingly limited supply of feed, especially protein sources. Black soldier fly (BSF, Hermetia illucens) larvae is characterized by its easy production system, rapid growth, able to efficiently convert organic waste and contains high protein, i.e., around 40%. However, the BSF exoskeleton contains chitin which is a component of cell wall and may inhibit the process of nutrient utilization in the digestive tract of ruminants. This experiment aimed to reduce chitin in BSF through physical (separation of the exoskeleton part) and biological (fermentation with chitinolytic bacteria) treatments. There are four treatments tested in this study: BSF larvae control (T1), BSF larvae without exoskeleton (T2), fish meal (T3), fermented BSF larvae using Bacillus subtilis ATCC 19659 (T4).Physical and biological treatments were able to reduce crude fiber content from 20.27% (T1) to 4.29% (T2), 13.18% (T4), and there was a decrease in ADF content up to 21.78% (T2) and 19.69% (T4). Bacillus subtilis also had lipase enzyme activity, so it can reduce ether extract in BSF larvae by 25.83%. The value of deacetylation degree from chitin isolated without treatment (T1) had a higher value of 66.11. This shows that the fermentation process using chitinolytic bacteria is able to reduce the quality of chitin and change the characteristics of chitin. It can be concluded that physical and biological treatment of BSF prepupa larvae can reduce chitin content, which is indicated by a decrease in crude fiber and fiber fraction (NDF and ADF). Fermentation using chitinolytic bacteria can change chitin characteristics and affect chitin quality.
Characteristics of Carbonated Hydroxyapatite Based on Abalone Mussel Shells (Halioitis asinina) Synthesized by Precipitation Method with Aging Time Variations
Authors: Permatasari H A , Yusuf Yusril 
Published: June 2019

Abstract
Carbonated Hydroxyapatite (CHAp) is a substituted-hydroxyapatite (HAp) with carbonate ions that are similar to natural inorganic bone constituents. The CHAp can be synthesized from natural material that has high calcium carbonate, such as abalone shells (Halioitis asinina), with a calcium carbonate content of 90-95% of the total abalone shell weight. In this study, the precipitation method has succeeded in synthesizing CHAp. The effect of aging time variations (0, 24, and 48 hours) during the synthesis process on CHAp characteristics was investigated. Characterization of the samples were conducted using X-Ray Diffraction (XRD), Energy Dispersive X-Ray Spectroscopy (EDX), and Fourier Transform Infrared (FTIR). Based on XRD data analysis, the diffraction peaks at32.02° were observed in all variations of aging time, i.e., the characteristics of B-type CHAp phase, in which the increasing of aging time reduces its crystallinity. B-type CHAp was formed when carbonate ions substitute the phosphate ions in the structure of HAp, as confirmed by EDX analysis. This means that the increasing of aging time improves its Ca/P mole ratio (1.71-1.81), which is greater than the Ca/P mole ratio of stoichiometric HAp (1.67). This is due to an increase in the number of carbonate ions that replace the position of phosphate ions as aging time increases. This is also confirmed by FTIR analysis, which showed that the increasing of aging time cause stronger absorption of carbonate ion in 872.9 cm−1, characteristics to B-type CHAp. From data analysis, it can be concluded that 48 hours aging time was the optimum time to produce B-type CHAp which has similar characteristics to natural bone apatite with low crystallinity.
Impact of the Bi substitution on the structural and charge density distribution of Ca0.7La0.3-xBixMnO3 (x = 0, 0.1)
Authors: Raharjo B M , Rahman I N , Munazat D R , Razak D S , Faruq Umar , Nur A N , Kurniawan Budhy 
Published: June 2019

Abstract
The Bi substitution effect on the structure of La0.3-xBixCa0.7MnO3 (x = 0, 0.1) is observed through the X-ray powder diffraction pattern. The effect of Bi substitution does not significantly change the unit cell size itself. This is due to the size of the Bi3+ ionic radius which is relatively almost the same as the ionic radius of La3+. Through Rietveld refinement, it is confirmed that the samples have the orthorhombic structure with Pnma space group. Changes of the charge density distribution between the atoms of bonds with the Bi substitution are investigated using maximum entropy method (MEM). MEM which is based on the refined structure factors extracted from the Rietveld method provide the information of charge ordering with respect to stronger regularity pattern of charge density distribution.
Impedance Measurement of the Quartz Crystal Microbalance using Phase Gain Detector and Digital Storage Oscilloscope
Authors: Sakti Setyawan P , Akbar Esa R N , Kamasi Daniel D , Naba Agus 
Published: June 2019

Abstract
Quartz Crystal Microbalance (QCM) sensor responds measurement can be done in three different methods. One method which gives a rich information is the impedance measurement of the QCM sensor using a phase gain measurement. In this configuration, the QCM sensor was placed in a configuration where the sensor was injected with a sinusoidal signal. Signal gain and phase difference between the signal before and after the QCM sensor was measured and compared. An integrated circuit which able to measure the gain and phase difference is available in a low cost and small footprint. In other hand, the high-performance digital oscilloscope is also available in the market with reasonably priced. In this experiment, we comparing the use of the AD8302, gain and phase detector circuit, and Picoscope 5244B. Picoscope 5244B is a high-performance Digital Storage Oscilloscope (DSO). The result showed that the AD8302 gave an easy and direct results of the gain and phase value. The output can directly processed using a microcontroller which allow for the development of a gain and phase detection system. In other hand, the DSO provided a true signal comparison between the input signal and output signal, but it required a complex processing.
Simple Method to Enhance O2/N2 Separation on P84 co-polyimide Hollow Fiber Membrane
Authors: Sari Pusfita , Gunawan Triyanda , Wan Salleh Wan Norharyati , Ismail Ahmad Fauzi , Widiastuti Nurul 
Published: June 2019

Abstract
In this study, a simple coating technique to enhance the selectivity performance of P84 co-polyimide hollow fiber polymer membrane was investigated. The hollow fiber membrane was coated with polydimethylsiloxane (PDMS) to prevent gas flow through the defect surface. The prepared membranes were characterized using X-Ray Diffraction (XRD), Fourier Transform Infrared (FTIR), Scanning Electron Microscopy (SEM) and pure gas permeation measurement. The pure gas of O2 and N2 were used to determine the permeation properties of the hollow fiber membrane. The single gas measurement showed that the perm-selectivity of O2/N2 of the hollow fiber membrane increased up to 181% after the coating treatment. It is concluded that the simple coating technique has significant effect in enhancing the selectivity performance of the hollow fiber membrane.
Modeling of Parity Status of The Mother and Basic Immunization Giving to Infants with Semiparametric Bivariate Probit (Case Study: North Kalimantan Province in 2017)
Authors: Amelia Rahmi , Mashuri Muhammad , Vita Ratnasari M.Si 
Published: June 2019

Abstract
The bivariate probit regression model is a probit regression model consisting of two response variables with errors between the two variables correlate each other. The correlation between the two response variables can occur as a result of the presence of endogeneity, a condition in which a response variable becomes an exogenous variable in another response variable. Besides, the important issue that cannot be underestimated is undetectable nonlinear relationships between response variables and predictors, especially discrete or continuous predictor variables. The bivariate probit regression that does not ignore endogeneity cannot detect the nonlinear relationships between response variables and predictors, so one of the regression models that can overcome the problem is bivariate probit regression model with a semiparametric approach. The first step in semiparametric bivariate probit modeling is testing the hypothesis of exogeneity to determine whether there is a case of endogeneity or not. The exogenous test used in this study is the Lagrange Multiplier (LM) and Likelihood Ratio (LR) test. The data used in this study consisted of two binary categorical response variables, they are parity status of the mother and basic immunization giving to infants in North Kalimantan Province in 2017. The results of the exogenous test using the LM test and LR test stated that there was a significant correlation between response variables. The AIC value of the semiparametric bivariate probit model is 1301.602, while the bivariate probit model produces AIC of 1316.789, so it can be concluded that the semiparametric bivariate probit model provides better modeling results than the bivariate probit model.
Parameters Estimation of Enzymatic Reaction Model for Biodiesel Synthesis by Using Real Coded Genetic Algorithm with Some Crossover Operations
Authors: Anam Syaiful 
Published: June 2019

Abstract
Along with the increase in population and industry in many countries, the fuel oil demand also increases. Petroleum exploration on a large scale will accelerate the depletion of petroleum reserves. One alternative to meet fuel needs is the discovery of biodiesel which is renewable alternative energy. Synthesis biodiesel is carried out through an enzymatic reaction. In the enzymatic reaction model making biodiesel, there are parameters that must be estimated. The estimated parameters of the enzymatic reaction model will determine the success of the reaction. The parameter estimation of the enzymatic reaction model can be done using local optimization or global optimization algorithms, but the local optimization algorithm has a major disadvantage, the optimal value obtained is the local optimal value. Genetic algorithms are global optimization algorithms that are capable of working on high-dimensional problems. The success of genetic algorithms is determined by chromosome models, crossover operations, and mutation operations. The use of improper crossover operations often produces local optimum solutions. There are various types of crossover operation, each of which has weaknesses and advantages. This paper studies the parameters estimation of the enzymatic reaction model for biodiesel synthesis by using genetic algorithms with some crossover operation.