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Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology

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@article{IJASEIT6022,
   author = {Yusuf Hendrawan and Nadiya Fisriana Putri and La Choviya Hawa and Muchnuria Rachmawati and Bambang Dwi Argo},
   title = {Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {4},
   year = {2020},
   pages = {1654--1661},
   keywords = {optimization; pervaporation membrane; response surface methodology; tensile strength.},
   abstract = {Some outstanding features in the use of pervaporation technology are light, low maintenance, low energy consumption, and eco-friendly. The optimization of membrane mechanical properties is vital to determine the strength of the membrane against the force which comes from outside and is unfortunately destructive, one of which is tensile strength. The purpose of this research is to find out the best combination of alginate and chitosan concentration, which produces polyether sulfone-biopolymer based pervaporation membrane with optimal tensile strength. Several membrane compositions have been prepared and varied in a way to obtain optimal membranes. The modeling and optimization method, which was applied by the researcher is the Response Surface Methodology (RSM). In the Central Composite Design (CCD) design, the low level included for both factors is 2% concentration, and the high level is 4% concentration, with a total of 13 experimental designs. The result of the suggested model is a quadratic model. While on the optimization result, the optimum solution result is from a combination of 3.25% alginate and 2.91% chitosan concentration, which yield tensile strength value of 0.24 kgf/cm2 with a desirability value of 0.84. The validation results are withdrawn from the three test samples resulted in an average tensile strength of 0.25 kgf/cm2 where this value differed 1.2% from the predicted results. The validation results are considered acceptable because the value is still within the acceptable error threshold or below 5%.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6022},
   doi = {10.18517/ijaseit.10.4.6022}
}

EndNote

%A Hendrawan, Yusuf
%A Putri, Nadiya Fisriana
%A Hawa, La Choviya
%A Rachmawati, Muchnuria
%A Argo, Bambang Dwi
%D 2020
%T Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology
%B 2020
%9 optimization; pervaporation membrane; response surface methodology; tensile strength.
%! Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology
%K optimization; pervaporation membrane; response surface methodology; tensile strength.
%X Some outstanding features in the use of pervaporation technology are light, low maintenance, low energy consumption, and eco-friendly. The optimization of membrane mechanical properties is vital to determine the strength of the membrane against the force which comes from outside and is unfortunately destructive, one of which is tensile strength. The purpose of this research is to find out the best combination of alginate and chitosan concentration, which produces polyether sulfone-biopolymer based pervaporation membrane with optimal tensile strength. Several membrane compositions have been prepared and varied in a way to obtain optimal membranes. The modeling and optimization method, which was applied by the researcher is the Response Surface Methodology (RSM). In the Central Composite Design (CCD) design, the low level included for both factors is 2% concentration, and the high level is 4% concentration, with a total of 13 experimental designs. The result of the suggested model is a quadratic model. While on the optimization result, the optimum solution result is from a combination of 3.25% alginate and 2.91% chitosan concentration, which yield tensile strength value of 0.24 kgf/cm2 with a desirability value of 0.84. The validation results are withdrawn from the three test samples resulted in an average tensile strength of 0.25 kgf/cm2 where this value differed 1.2% from the predicted results. The validation results are considered acceptable because the value is still within the acceptable error threshold or below 5%.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6022
%R doi:10.18517/ijaseit.10.4.6022
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 4
%@ 2088-5334

IEEE

Yusuf Hendrawan,Nadiya Fisriana Putri,La Choviya Hawa,Muchnuria Rachmawati and Bambang Dwi Argo,"Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 4, pp. 1654-1661, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.4.6022.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Hendrawan, Yusuf
AU  - Putri, Nadiya Fisriana
AU  - Hawa, La Choviya
AU  - Rachmawati, Muchnuria
AU  - Argo, Bambang Dwi
PY  - 2020
TI  - Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 4
Y2  - 2020
SP  - 1654
EP  - 1661
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - optimization; pervaporation membrane; response surface methodology; tensile strength.
N2  - Some outstanding features in the use of pervaporation technology are light, low maintenance, low energy consumption, and eco-friendly. The optimization of membrane mechanical properties is vital to determine the strength of the membrane against the force which comes from outside and is unfortunately destructive, one of which is tensile strength. The purpose of this research is to find out the best combination of alginate and chitosan concentration, which produces polyether sulfone-biopolymer based pervaporation membrane with optimal tensile strength. Several membrane compositions have been prepared and varied in a way to obtain optimal membranes. The modeling and optimization method, which was applied by the researcher is the Response Surface Methodology (RSM). In the Central Composite Design (CCD) design, the low level included for both factors is 2% concentration, and the high level is 4% concentration, with a total of 13 experimental designs. The result of the suggested model is a quadratic model. While on the optimization result, the optimum solution result is from a combination of 3.25% alginate and 2.91% chitosan concentration, which yield tensile strength value of 0.24 kgf/cm2 with a desirability value of 0.84. The validation results are withdrawn from the three test samples resulted in an average tensile strength of 0.25 kgf/cm2 where this value differed 1.2% from the predicted results. The validation results are considered acceptable because the value is still within the acceptable error threshold or below 5%.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6022
DO  - 10.18517/ijaseit.10.4.6022

RefWorks

RT Journal Article
ID 6022
A1 Hendrawan, Yusuf
A1 Putri, Nadiya Fisriana
A1 Hawa, La Choviya
A1 Rachmawati, Muchnuria
A1 Argo, Bambang Dwi
T1 Modelling and Optimization of Alginate-Chitosan Concentration towards Tensile Strength Pervaporation Membrane based Polyethersulfone-Biopolymer by Using Response Surface Methodology
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 4
YR 2020
SP 1654
OP 1661
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 optimization; pervaporation membrane; response surface methodology; tensile strength.
AB Some outstanding features in the use of pervaporation technology are light, low maintenance, low energy consumption, and eco-friendly. The optimization of membrane mechanical properties is vital to determine the strength of the membrane against the force which comes from outside and is unfortunately destructive, one of which is tensile strength. The purpose of this research is to find out the best combination of alginate and chitosan concentration, which produces polyether sulfone-biopolymer based pervaporation membrane with optimal tensile strength. Several membrane compositions have been prepared and varied in a way to obtain optimal membranes. The modeling and optimization method, which was applied by the researcher is the Response Surface Methodology (RSM). In the Central Composite Design (CCD) design, the low level included for both factors is 2% concentration, and the high level is 4% concentration, with a total of 13 experimental designs. The result of the suggested model is a quadratic model. While on the optimization result, the optimum solution result is from a combination of 3.25% alginate and 2.91% chitosan concentration, which yield tensile strength value of 0.24 kgf/cm2 with a desirability value of 0.84. The validation results are withdrawn from the three test samples resulted in an average tensile strength of 0.25 kgf/cm2 where this value differed 1.2% from the predicted results. The validation results are considered acceptable because the value is still within the acceptable error threshold or below 5%.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=6022
DO  - 10.18517/ijaseit.10.4.6022